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1. The Layout Instability API

"You're about to tap a link or a button, but in the instant before your finger lands—BOOM—the link moves, and you end up clicking something else! Most of the time these kinds of experiences are just a mild annoyance or frustration. But in some cases, they can actually cause real damage or harm." Philip Walton describes how to detect unexpected layout shifts in JavaScript with the Layout Instability API, currently being incubated in the WICG.

2. 50 things you should know for a JS dev job interview

Knowing the answer to 49 of these 50 questions should pretty much win you the job.

+ Need more prep? Check out Beginning JavaScript, a learning path on O'Reilly.

3. What's in Babel 7.5.0

The biggest thing is improved support for a few ECMAScript proposals.

4. Learning to code by hacking Minecraft

"The best programming experiences take place outside of a coding simulator. They happen you're trying to accomplish something, whether it's making a story, tinkering with a bit of electronics, or building a game. They're not about finding the right commands to solve a maze—they're about building your own maze." MakeCode lets you program Minecraft using visual blocks, like Scratch.

5. React + WebAssembly = ??

In this episode of the JS Party podcast, Florian Rival talks about porting a C++ based game engine to the web by compiling to WebAssembly and creating a React-based frontend.

+ Take a look at Creating React Applications with GraphQL, a live online O'Reilly course, September 12.

Did you miss OSCON?

The recent O'Reilly Open Source Software Conference in Portland was pretty spectacular. You can get a glimpse of some of the highlights here. If you want to be sure you don't miss it next year, book your Bronze pass for 2020 now for just $700 using code SAVENOW. (Offer is only good until midnight, August 2.)

6. A beginner's guide to variable fonts

Julia Thummel and Ola Assem provide a step-by-step look at variable fonts in this two-part series. Part one describes how they work and why you might want to use them. Part two explains how to use them.

7. How to add smooth scrolling with inner image animations to a page

If you want to know how to add a smooth scrolling effect into a website with HTML, take a look at this article. It also describes animating the images that enter the viewport for an effective "inner" image animation.

8. Menu (or not)

Sometimes the best how-tos start with how-not-to. This tutorial on creating a useful menu pattern is one of those.

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Hi there,

It’s your last chance to register for my free 60-minute webcast, How to Make Your Organization a Tech Talent Hotspot, happening this Wednesday, July 10, at 10am PT.

I’ll talk about how you can implement better learning and development programs to attract—and retain—the employees that can make a positive impact on your business. RSVP now to reserve your spot.

See you soon.

Karen Hebert-Maccaro,
Chief Learning Experience Officer, O’Reilly

P.S. If you can’t attend live, register anyway and we’ll send you the recording shortly after the event.

Hi there,

In today’s highly competitive market, you can’t afford to lose your best tech talent. But it’s all too easy to do when you don’t have the right initiatives in place.

And it’s not just about retaining your best employees—it’s about drawing the top candidates to your organization as well.

Join me for a free 60-minute webcast to find out how to attract—and keep—high-caliber employees by crafting smarter learning and development programs and understanding critical differences in career paths.

How to Make Your Organization a Tech Talent Hotspot
July 10, 2019 | 10:00am PT/1:00pm ET

Karen Hebert-Maccaro,
Chief Learning Experience Officer, O’Reilly

P.S. If you’re interested, but not completely sure you can attend, register anyway. We’ll send the recording to every registrant shortly after the event.

1. The future of machine learning is tiny

In this video, Pete Warden digs into why embedded machine learning is so important, explains how to implement it on existing chips, and shares new use cases it will unlock.

2. The role of a data science manager

The two most important responsibilities of a data science manager are...

+ Want to get good at those things? Check out the Strata Business Summit in New York.

3. How Etsy taught style to an algorithm

Is it romantic or rustic? Boho or minimal? Etsy needed to offer searchers a way to find goods that matched their style aesthetics, but since descriptions aren’t uniform and don’t always describe the style, text mining the descriptions wasn’t enough. Color and patterns don’t reliably predict style, so image recognition alone didn’t do it either. Enter a model that blends text analysis with image recognition based on 43 human-identified styles.

4. Toward learned algorithms, data structures, and systems

Tim Kraska outlines ways to build learned algorithms and data structures to achieve “instance optimality” and unprecedented performance for a wide range of applications.

5. Jupyter is the new Excel (but not for your boss)

Do you need to share the results of a Jupyter notebook with someone who isn’t comfortable with code? Here are some tips.

IN COLLABORATION WITH IBM

Free ebook: Getting Started with Enterprise Blockchain

There's so much more to blockchain than Bitcoin. This ebook explains how developers can establish a blockchain network to handle business-to-business transactions while maintaining privacy and confidentiality. And the best part? It's free, courtesy of IBM.

6. Managing ML in the enterprise: Lessons from banking and healthcare

Harish Doddi, Ben Lorica, and David Talby look at how guidelines from regulated industries could help shape your machine learning strategy.

+ Want to dive deeper into how regulated industries like finance work with data? Check out Findata Day at the Strata Data Conference in New York.

7. Tools for machine learning development

In this episode of the O’Reilly Data Show podcast, Ben Lorica and Jeff Meyerson of Software Engineering Daily discuss data engineering, data architecture and infrastructure, and machine learning.

+ Check out the data engineering and architecture sessions at the upcoming Strata in New York.

8. What AI-driven decision making looks like

“To fully leverage the value contained in data, companies need to bring artificial intelligence (AI) into their workflows and, sometimes, get us humans out of the way. We need to evolve from data-driven to AI-driven workflows,” says Eric Colson, chief algorithms officer at Stitch Fix.

Only until Friday: 25% savings for the first TensorFlow World

You can score a 25% savings to attend O’Reilly TensorFlow World, but it expires this Friday. Just use the code FIRST25 when you reserve your spot by midnight Friday, July 19, and you’ll save up to $390 on your Gold, Silver, or Bronze pass.

9. To run or not to run a database on Kubernetes

Kubernetes has been called the Linux of the cloud. But while the application layer is gaining traction, the data layer hasn’t. Benjamin Good, solutions architect at Google Cloud, looks at running a database on Kubernetes (and offers a decision tree to determine if it’s right for you).

+ Introduction to Kubernetes, live online O’Reilly course, July 22–23

10. Under GDPR, companies are afraid to tell you no

James Pavur, a PhD student at Oxford University, bet his fiancée he could use GDPR to steal her personal information. With only his fiancée’s full name, an old phone number of hers he found online, and a generic email address (firstname.lastname@gmail.com), he was able to obtain a range of sensitive data, from travel itineraries and passport numbers to addresses and credit card numbers. More than 20 out of 150 companies revealed some sort of sensitive information.

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Whether you’re working to advance your career, be a better manager, or achieve the next big breakthrough in business or technology, learning new skills is at the heart of it all.

For more than 40 years, O’Reilly has shared world–shaping ideas of innovators through books, articles, conferences and our online learning platform.

Our network of experts track the faint signals of emerging trends that will shape our future to help you get a first look at what’s coming next—and prepare for it.

Follow us on social media to keep up on the trends in business, technology, and learning that will impact your organization and your career.

At O’Reilly, we pride ourselves on our commitment to protecting your privacy. Our data governance and privacy policies reflect our company’s values and how we strive to maintain your privacy. For details, please refer to our Privacy Policy.

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1. 10 business model reads for data scientists

Even if you’ve nailed the technical aspects of data science, you may be stumped by various business principles or methods. This is a good resource for getting a basic understanding of business models.

2. Are you a bot?

It’s increasingly difficult to tell a bot from a human. You may start an interaction with one and be shunted to the other without realizing it. There’s a word for that feeling of uncertainty: “Aiporia”. As we create blurred bot lines, do we have a responsibility to consider aiporia?

+ “Our Language Needs to Evolve Alongside AI. Here’s How.”

3. Object detection with YOLOv3 in Keras

This tutorial shows you how to identify the presence, location, and type of one or more objects in a given photograph using YOLOv3 in Keras.

+ Using Keras to Classify Text with LSTMs and Other ML Techniques (tutorial at the O’Reilly AI Conference in San Jose)

4. Investigative reporting with data

When Brian Rosenthal and his team of New York Times reporters were asked to look into Michael Cohen’s ownership of 30 New York taxi medallions, one question arose: Why had anybody ever paid $1 million for the right to the grueling job of being a cabby? A year later, their series of articles exposed the predatory lenders that took advantage of cab drivers. But it took 450 interviews and some data crunching to get there. Brian explains how they did it.

5. A prediction: In the future, predictions will only get worse

If the future doesn’t act like the past all that data we’ve accumulated is useless.

IN COLLABORATION WITH Mesophere

Free ebook: Streaming Data

A short ebook, Streaming Data: Concepts that Drive Innovative Analytics, provides best practices for working with streaming data.

And it’s free, courtesy of Mesosphere.

6. 2.3 billion files exposed across online file storage technologies

According to Digital Shadows, exposed data rose by more than 50% in the past year, with the US leading other countries in the amount of exposed data (twice as much as runners-up, Japan and France). But exposures of S3 buckets (data stored on Amazon’s cloud service) dropped to a “nearly unrecognizable amount” since last year, down from 16 million to about 2,000. These are not data breaches but rather data in a cloud server or another file sharing protocol that hasn’t been secured. Some of the data may have been shared on purpose, although it’s unusual to use the protocols investigated in the study, like SMB, to communicate outside a private network.

7. Research design patterns

This post provides examples of design patterns for academic research (especially in engineering and technology-related fields), but many of these would be useful for data scientists in other fields.

8. Translating math into code

Here’s a guide to translating common discrete mathematical structures, such as sets, sequences, functions, disjoint unions, relations, and syntax, into working code in Java, Python, Racket, and Haskell.

2-day courses at Strata in New York

Strata’s two-day intensive, expert-led courses give you hands-on experience in the technologies you need to succeed. And the class size is kept small so you get individual attention.

The downside? Because seating is limited, they fill up fast.

9. How this NYU grad landed an entry-level job at Google

Karl Gourgue is a 23-year-old graduate of New York University’s business school with concentrations in computing and data science. This is how he landed at Google.

10. Sing my name

“If your name is Baby, then seemingly every song is about you. But what if your name isn’t Baby?” Amber Thomas created a data-driven look at names in songs.

1. Unraveling the JPEG

Behind JPEGs, there's an algorithm that removes details that are imperceptible to the human eye, giving you the highest visual quality with the smallest file size. But what is it you don't see?

2. JavaScript is the CO₂ of the web

In this episode of the JS Party podcast, Kevin Ball, Divya Sasidharan, and Nick Nisi talk with Chris Ferdinandi about vanilla JavaScript, the best resources for learning it, and favorite vanilla JavaScript tips, tricks, and APIs.

3. WebAssembly brings Google Earth to more browsers

Check out the Google Earth preview beta on WebAssembly and read about the technical implementation here.

4. JavaScript for machine learning using TensorFlow.js

If you're already comfortable with JavaScript, you may want to use it rather than Python or R for machine learning. Priyesh Patel takes a look at how easy that is to do.

Related resources:

• Getting Started with Tensorflow.js: Machine Learning in the Browser, live online O'Reilly course, July 23
• TensorFlow World, Oct 28–31

5. The frontend checklist

"Perfect for meticulous developers."

Free: $99 OSCON Expo Plus pass for subscribers

The OSCON Expo Plus pass is a great deal at $99. You get access to the keynotes, sponsored sessions and workshops (and there's a lot there), entrance to the Expo Hall and Expo Hall events.

But for our subscribers, we have an even better deal—you get all that for free. Just use code EPPNL when you register.

The O'Reilly Open Source Software Conference is coming to Portland July 15–18, so make your plans soon.

6. The 7 most-used JavaScript topics you should know

There's a lot to learn about JavaScript. In this post, Jim Rottinger lists the seven JavaScript topics he's used most in his career so you can focus on the topics you're most likely to use in real life.

+ Ready to master those seven topics (and more)? Check out Modern JavaScript, a live online O'Reilly course, July 17.

7. 7 absolute truths I unlearned as junior developer

What Monica Lent learned (and then unlearned) on her path to senior developer.

8. The future of React

Here's an interesting Twitter thread.

Hi there,

Your employees ask Siri for a weather report. They use their smartphone to get directions or search Google for a quick answer to a question. They have immediate ways to access information at home—and it’s shaping their expectations at work.

Emerging technologies like AI and voice interfaces are changing the way your workforce learns. But staying on top of these trends—and responding to them quickly—can be a challenge.

Our network of experts track the faint signals of emerging trends to help you get a first look at what’s coming next—and prepare for it. Request a demo of our learning platform.

L&D professionals have a huge opportunity to bring more value to their organizations through on–demand learning powered by these new tech–enabled tools. This free report, The New Technologies Impacting On–Demand Learning, will show you how.

Enjoy!
The O’Reilly Team

1. Best content management systems of 2019

Here's a look at the six top CMSes.

+ Check out the book Web Content Management: Systems, Features, and Best Practices by Deane Barker.

2. Understanding Angular modules

Want to get a handle on Angular modules quickly? This guide to the different types of Angular modules (and what they're for) might help.

3. 4 reasons your z-index isn't working (and how to fix it)

Z-index is a useful CSS property that allows you to position elements in layers on top of one another. The catch? It's not always intuitive. Here are four reasons it may not be working and suggestions on how to fix it.

4. Fluid web typography is tricky

Fluid typography can be really helpful in designing reading experiences on the web, but it can also make font sizes scale uncontrollably or create accessibility issues. Matej Latin asks, Is fluid typography ready for prime time?

5. TypeScript versus JavaScript

TypeScript is gaining popularity. Does that mean JavaScript is losing is popularity? Putting popularity aside, here's a look at the technical merits of each and when you might want to use one over the other.

+ Advanced TypeScript Programming (live online course on the O'Reilly learning platform, June 12)

Subscriber perk: Get 25% off your OSCON pass (ends June 7)

Subscribing has its perks: you can take 25% off your O'Reilly Open Source Software Conference pass (on top of Best Price) if you reserve by June 7. Just use promo code WEBNL25 when registering. It's happening July 15–18 in Portland, and you don't want to miss it.

6. Learning how to learn JavaScript

Think you're ready to learn JavaScript? Not so fast. Jim Rottinger makes five recommendations on how to approach learning JavaScript.

7. The end of app stores

"A new generation of Progressive Web Applications (PWAs), now taking root on desktop computers, may soon make the jump to your smartphone, changing how you download apps—and where they come from—forever."

8. GraphQL is the key to staying out of technical debt

Here's why.

+ Creating React Applications with GraphQL (live online course on the O'Reilly learning platform, June 24)

Hi there,

We’re thrilled that Training Industry has recognized O’Reilly as a leader in the constantly evolving IT training market, naming us a 2018 Top IT Training Company for the second year in a row.

O’Reilly was selected for the breadth and quality of technical content and courses available on our online learning platform and for our innovation in IT training.

That innovation has been honed by nearly 40 years experience bringing the knowledge of experts to the world. But we can’t claim all the credit for the breadth and depth of our content and courses—our platform includes content from all of the top tech publishers including Pearson, Wiley, and Packt, in addition to our own.

If you’ve been thinking about trying out O’Reilly online learning, now is the time. Request a demo.

Karen Hebert-Maccaro
Chief Learning Experience Officer, O’Reilly

1. The modern PWA cheat sheet

In this YouTube video, Maximiliano Firtman explains the app lifecycle on every OS, covering new APIs, limitations on iOS and how to deal with them, and how WebAPK works on Android—as well as multiwindow management, distribution channels (including new DOM events to improve analytics), how to create a custom install experience, and how to distribute the app in the store.

+ Check out Web Performance in Practice, a live online O'Reilly course, August 28

2. Understanding Worker threads in Node.js

This post offers a look at Worker threads and some examples of how to use them.

3. How Google PageSpeed works

There have been a couple of crucial changes made to Google's search indexing and ranking algorithms. If you've been curious about how PageSpeed calculates it's critical speed score—and how to make it work for you to improve your SEO ranking and ad quality score—this article will give you the details.

4. React Native 0.60 released

This new release handles significant migrations for both the Android and iOS platforms and includes accessibility improvements, AndroidX support, a new upgrade helper, lean core removals, and more. See what's new.

+ Want to master the basics of React? Take a look at Getting Started with React.js, a live online O'Reilly course, August 14.

5. Firefox 68

Firefox 68 was released on July 9. Here's what that means for developers.

6. JSS in CSS

Scott Kellum calls it CJSS (JS in CSS). Take a look at the code for this CSS-based web framework on GitHub.

7. The OpenJS Foundation is official. Now what?

What's been going on since the official merge of the OpenJS Foundation? Here's an update.

8. Matrix digital rain effect

1. Micro-frontends: The good, the bad, and the ugly

What are the pros, cons, and compromises of micro-frontends? This post lays it all out.

+ Ready to go deeper? Check out Building Micro-frontends, a live online O'Reilly course, July 22.

2. Intro to VuePress 1.x

VuePress has moved from alpha to beta. Here's a look at what's new.

3. The joy of ClojureScript

It's not the most popular language. It's even a bit...quirky. But ClojureScript is worth considering.

+ ClojureScript cheat sheet

4. An intro to test-driven development with Vue.js

"Test-driven development (TDD) is a process where you write tests before you write the associated code. You first write a test that describes an expected behavior, and you run it, ensuring it fails. Then, you write the dumbest, most straightforward code you can to make the test pass. Finally, you refactor the code to make it right. And you repeat all the steps for each test until you're done." Here's why it works.

+ If you want to know how to write end-to-end tests for your Vue.js applications, take a look at Testing Vue.js Applications, a live online O'Reilly course, happening August 15.

5. Tips for writing full stack JavaScript apps

Good advice on writing full stack JavaScript apps from Elie Steinbock, whose team of freelancers' full stack boilerplate repo recently received 10,000 stars on GitHub.

Hurry! Your VIP deal for OSCON expires Friday at midnight

As a newsletter subscriber, you can take 30% off your Gold, Silver, or Bronze pass to the O'Reilly Open Source Software Conference (OSCON). But only until this Friday at midnight.

Remember to use code VIP30 when registering to claim your VIP discount.

6. Node.js 12 release

The Node.js 12 release improves the underlying V8 JavaScript engine, startup performance, security, and ES6 modules. It also makes it easier to properly configure default heap limits, which significantly improves performance if you're working with large datasets.

+ Working with Node.js? Check out Secure JavaScript with Node.js, a live online O'Reilly course, July 10.

7. Improve render times with critical CSS technique

Milica Mihajlija explains how to improve render times with the critical CSS technique.

8. What are some of the classic frontend challenges that you encounter in every single project?

Interesting discussion.

1. 10 Laravel helpers that you should know

You probably know the common Laravel helper functions. But with a little digging, you can discover some lesser-known ones that will save a ton of time. Or let Daan Mooij do the digging for you.

2. The cost of JavaScript in 2019

The last few years have seen a big improvement in how fast browsers can parse and compile script. Today, the dominant costs of processing scripts are now download and CPU execution time. Addy Osmani explains.

3. 12 tips for improving JavaScript performance

Because it can always be at least a little better.

4. A showcase of Google's web performance tools

In this YouTube video, Elizabeth Sweeny, Paul Irish, and Amir Rachum from the Chrome developers team explain how to assess and optimize site performance using Google tools.

+ Want to master web performance optimization? Check out Web Performance in Practice, a live online O'Reilly course happening August 28.

5. How to build a theme manager in Flutter

Here's an easy-to-follow tutorial on creating a theme manager in Flutter.

Free: $99 OSCON Expo Plus pass for subscribers

The OSCON Expo Plus pass is a great deal at $99. You get access to the keynotes, sponsored sessions and workshops (and there's a lot there), entrance to the Expo Hall and Expo Hall events.

But for our subscribers, we have an even better deal—you get all that for free. Just use code EPPNL when you register.

The O'Reilly Open Source Software Conference is coming to Portland July 15–18, so make your plans soon.

6. The state of Angular in 2019

A little bit of everything about Angular: the state of the ecosystem, new features, what's coming, summaries of a few tools, and a tip or two.

7. Write HTML like it's 1999

Bradley Taunt writes HTML as if he's "stuck with the constraints of the '90s (within reason)." So tables are coded with table elements. Navigations are coded with nav and ordered and unordered list-items. Form inputs are not set with display: none and replaced with custom containers. And it might be worth a try. Here's why.

8. Does my website look fat in this browser to you?

Google's Katie Hempenius on the growth (literally) of websites.

1. Bring scalable real-time analytics to the enterprise

In this episode of the O’Reilly Data Show Podcast, Dhruba Borthakur and Shruti Bhat discuss enabling interactive analytics and data applications against live data.

+ Check out the data engineering and architecture sessions at the Strata Data Conference in New York.

2. How to get research-grade data

How to know if your data is research-grade—and what to do about it if it’s not.

3. Software engineering for machine learning

This paper explains best practices that Microsoft teams discovered and compiled in creating large-scale AI solutions for the marketplace.

4. Categorizing listing photos at Airbnb

Here’s a look at how Airbnb uses TensorFlow to classify photos in listings at scale.

+ Folks from Airbnb will be speaking at TensorFlow World. Save the date: Oct 28–31.

5. What is DataOps?

And do you need a DataOps engineer?

IN COLLABORATION WITH Tamr

Free report: Getting DataOps Right

You may have accumulated dozens of disconnected data sources to serve different lines of business over the years—useful in one area of the enterprise but inaccessible to other data consumers in your organization. In this short report, five data industry thought leaders explore how to overcome those sorts of problems with DataOps. And it’s free, courtesy of Tamr.

6. A road map for secure elections

The Stanford Cyber Policy Center released a report (PDF here) late last week that details Russian interference in the 2016 election and makes recommendations on how to secure the integrity of future elections.

7. 25 machine learning startups to watch

There are more than 8,000 machine learning startups and companies listed in Crunchbase. Here are 25 to watch.

+ The Fundamentals of Machine Learning and Data Analytics (live online course, July 10–11)

8. What does this wave of BI acquisitions mean?

“Holy crap.” Tristan Handy looks at recent acquisitions and tries to suss out what they mean for the stack.

O’Reilly AI Conference pass prices go up this Friday

Sometimes procrastination costs. The price for the O’Reilly AI Conference in San Jose goes up at midnight this Friday, June 14. Make your plans now.

9. Maximizing paper clips

We won’t get the chance to worry about artificial general intelligence if we don’t deal with the problems we have in the present. Mike Loukides explains.

Spotlight on data: Caching big data for ML at Uber with Zhenxiao Luo

Join us for this edition of Spotlight on Data on the O’Reilly learning platform to find out how Uber tackles challenges of efficiency and scalability as a result of its growing business, data, and task complexity and how it’s designing and implementing data-caching solutions to speed up its machine learning platform.

June 17, 10am–11am PDT

10. What skills do you need to be a blockchain engineer?

Data structures and architecture, of course. But what else?

1. A look at dynamic filtering

Roman Zeyde describes how Presto implemented dynamic filtering (evaluating predicates when parsing files). While reading less data, the company significantly optimized highly selective inner joins.

2. Acquiring and sharing high-quality data

In this episode of the O’Reilly Data Show podcast, Roger Chen talks about the fair value and decentralized governance of data.

3. How to derive logistic regression from Bayes’ theorem

“Despite being a very commonly used tool in statistics, machine learning and data science, people frequently get confused about the details of how logistic regression actually works. By showing you how you can derive logistic regression from Bayes’ theorem, you should have a much easier time remembering exactly how this useful tool works.”

+ Machine Learning Series: Logistic Regression Algorithm in Python (video training on O’Reilly learning).

4. Simulacra and selection

How many sets of five can you make from 10,000 distinct items?

5. Managing machines

Pete Skomoroch explains what you need to know as we shift from a world of deterministic programs to systems that give unpredictable results on ever-changing training data. (video)

IN COLLABORATION WITH SAS

How to go from data to decisions quickly

Analytical models are at the heart of critical business decisions. But what’s the best way to create and manage these high-value assets when there are more decisions and data than ever? The SAS Analytics Life Cycle guides you through the entire iterative process so you can automate as many decisions as possible, as quickly as possible.

6. Uber’s best practices for distributed computing

Gergely Orosz spent several years working on Uber’s payment systems. In this post, he explains what he’s learning about distributed architecture concepts and the challenges of high-load and high-availability systems.

+ Check out the data engineering sessions at the O’Reilly Strata Data Conference in New York.

7. Crazy things on the road

“We overestimated the arrival of autonomous vehicles,” Jim Hackett, Ford’s chief executive, said. It seems that predicting human behavior on the roads is more of a challenge than anticipated. “You see all kinds of crazy things on the road, and it turns out they’re not all that infrequent,” he explained.

8. Your dataset is a giant inkblot test

The danger of apophenia in analytics—and what you can do about it.

Speak at Strata 2020

The O’Reilly Strata Data Conference is returning to San Jose, March 15–18. We’re looking for tested best practices, intriguing use cases, high-level exec briefings, the latest developments in data (and how to implement them), detailed case studies, and rock-solid tech skills (and the ability to share them).

If you want to join a stellar lineup of data’s innovators on stage at Strata, see our tips for submitting a great proposal and apply to speak by September 5.

9. Will blockchain goose the next age of open innovation?

In this video highlight from OSCON, Alison McCauley explores how blockchain technology offers new tools that can help extend the ethos of open innovation into new areas.

+ Watch more highlights from the 2019 O’Reilly Open Source Software Conference in Portland.

Tell us about your O’Reilly online learning experience

How are you using O’Reilly to stay on top of industry trends, gain insights, and advance your skills? Let us know by taking this short survey. It will only take a few minutes, and your participation will go a long way toward helping us make your experience the best it can be.

10. 30 weird chess algorithms

“We conduct a tournament of fools with a pile of different weird chess algorithms, ostensibly to quantify how well my other weird program to play color- and piece-blind chess performs. On the way, we ‘learn’ about mirrors, arithmetic encoding, perversions of game tree search, spicy oils, and hats.” (YouTube video.)

AI Conference in London pass prices going up July 26

At midnight this Friday, July 26, pass prices for the O’Reilly AI Conference in London are going up. Register by midnight Friday or you’ll pay up to £479 more. (Training courses, tutorials, and hotel rooms are also filling up, so make your plans now.)

1. ML engineer salaries are among highest in AI

Indeed released its 2019 research on AI careers, and machine learning engineer now tops the list of highest paid positions, replacing director of analytics and principal scientist. According to Indeed, machine learning engineers earn an average annual salary of $142,858. In addition, a new role has emerged—deep learning engineer.

+ Check out the data engineering sessions at the O’Reilly Strata Data Conference in New York.

2. What’s coming in PostgreSQL 12

Bruce Momjian prepared this slide deck describing the most significant improvements coming to PostgreSQL 12.

3. A visual intro to NumPy and data representation

A look at different ways NumPy can be used to represent data.

4. Cloud is now the default platform for managing data

According to a recent Gartner study, “on-premises is the past, and only legacy compatibility or special requirements should keep you there.”

+ Check out the O’Reilly Cloud Resource Center.

5. Machine learning has been used to translate long-lost languages

A team from MIT and Google’s AI lab has developed a machine learning system capable of deciphering lost languages. They demonstrated it by having it decipher Linear B—a language discovered inscribed on stones discovered in Crete in 1856 that had gone undeciphered for 67 years. This was the first time this was done automatically, and their approach was very different from standard machine translation techniques.

IN COLLABORATION WITH Unravel

Free ebook: Rebuilding Reliable Data Pipelines Through Modern Tools

Data applications that combine customer data from multiple business channels can fail for many reasons. Identifying the cause and finding a fix is both challenging and time-consuming. This practical ebook will show you how to plan, migrate, and operate data workloads and data pipelines using cloud-based and hybrid deployment models. And it’s free, courtesy of Unravel.

6. Top 30 Python libraries for ML

There are a lot of Python libraries and projects for machine learning. This article takes a look at 30 of them.

7. Hypothetical indexes in PostgreSQL

Here are some examples.

8. 6 principles for designing any chart

Google’s data visualization team has released detailed public guidelines for creating data visualizations, distilling the team’s most important principles and considerations. This is an introduction to the guidelines. (And here are the full guidelines.)

Working with data in finance? Take a look at Findata Day.

Finance couldn’t run without data. And while many industries use the same frameworks and tools—AI, ML, predictive analytics, or cloud services, for example—security, real-time, and regulatory stakes are considerably higher in finance. That’s why you have your own day at Strata in New York: Findata Day, Tuesday, September 24. From analyzing risk and detecting fraud to predicting payments and improving customer experience, you’ll hear about the data technologies the finance industry needs. And you’ll discover how companies like Amex, Capital One, and Wells Fargo solve their data problems.

9. kepler.gl for Jupyter

kepler.gl—an advanced geospatial visualization tool open-sourced by Uber’s Visualization team—is now included as a widget in Notebook. At Uber, kepler.gl is the de facto tool for geospatial data analysis. Here’s an intro to kepler.gl.

10. Stopping feline murder with AI

Amazon engineer Ben Hamm used AI to stop his “sweet, murderous cat” Metric from bringing home dead and half-dead prey in the middle of the night. He describes the device in this Ignite talk.

What’s happening at the O’Reilly AI Conference in San Jose

O’Reilly AI Conference is coming to San Jose Sept 9–12. Take a look at what you’ll find:

• An amazing lineup: Michael Jordan, Srinivas Narayanan, Paige Bailey (and 121 more).
• Crazy useful tutorials
• The AI Business Summit
• Intensive two-day training courses
• Fun events

There’s more, but we’re out of space, so go to the website and see for yourself.

1. Should chatbots replace forms on mobile?

Is a chatbot better than a traditional email form? Suzanne Scacca takes a look at when you might want a chatbot instead of a form (and when you might not).

2. An intro to GraphQL

If you are thinking of using GraphQL to build your APIs, here's a nice intro.

+ Want a deeper dive? Check out Creating React Applications with GraphQL, a live course at O'Reilly online learning, June 24

3. What's new in Chrome 75?

What's been announced about Chrome 75? A way to reduce latency on canvas elements. A way for web apps to share files with other installed apps using the system-level share sheet. Underscores as separators for numeric literals. And more.

4. How we eliminated 13,000+ wasted renders

Michael Haglund explains how to optimize React performance.

5. Are JavaScript Long Tasks delaying your Time to Interactive?

Long Tasks keep the main thread busy, delaying user interaction. You can now visualize Long Tasks with Chrome DevTools, making it easier to see which tasks to optimize. Addy Osmani explains.

What $99 will buy you at OSCON

Don't want to miss the O'Reilly Open Source Software Conference but can't find the time or the budget for four days of intense action? We want to make sure everyone has a chance to attend—including you. The Expo Plus pass is an inexpensive way for you to attend all keynotes and sponsored sessions, as well as network with peers at evening events and other casual discussion spaces at the conference and, of course, learn about the latest products and services at the Expo Hall.

6. Flutter versus React Native

Marius Reimer compares Flutter with React Native.

7. Google is tweaking its search results

Here's what to expect.

8. How tech can make us better humans

Technology can be isolating and dystopian. But it can also connect us. Wired looks at why we still love tech.

Hi there,

Just a friendly reminder that I’m hosting a free 60-minute webcast, How to Make Your Organization a Tech Talent Hotspot, next Wednesday, July 10 at 10am PT.

Find out how your organization can bring in—and keep—the best and brightest employees in the industry.

While spaces are going fast, there’s still time to RSVP.

See you next Wednesday,

Karen Hebert-Maccaro,
Chief Learning Experience Officer, O’Reilly

1. Accelerating Uber’s self-driving vehicle development with data

Interaction with pedestrians is a pretty important piece of the self-driving car puzzle. Here, Uber’s engineering team describes how analyzing people walking can speed the development of driving technology.

2. Modeling the unseen

How Instacart uses machine learning to spot lost demand in its fulfillment chain.

+ Data analytics for efficiency at Instacart (case study at O’Reilly online learning)

3. When algorithms mess up, the nearest human gets the blame

A study of historical cases shows how we handle the liability of automated systems.

+ War Stories from the Front Lines of ML (session at Strata in New York)

4. Artful dodgers

Researchers from the University of Maryland and the University of Zurich have taught drones how to dodge rapidly moving objects, moving toward building semiautonomous, adaptive small-scale aircraft.

+ “How Amazon Cloned a Neighborhood to Test Its Delivery Robots” (article)

5. Data engineering resources

Here’s a curated list of resources for data engineers, with sections for algorithms and data structures, SQL, databases, programming, tools, distributed systems, and more.

+ Check out the data engineering and architecture sessions at the Strata Data Conference in New York.

IN COLLABORATION WITH Qubol

Free ebook: Operationalizing the Data Lake

As companies are leveraging more and more unstructured data to make data-driven decisions, data lakes have become essential. But few companies have been able to truly operationalize data across the entire organization and extract value from a cloud data lake. This ebook, courtesy of Qubol, will help you build a cloud data lake operation.

6. How to learn the math of data science...

...using only the math you learned in high school.

7. Testing statistical software

“If you use statistical software, this post will help you evaluate whether a package is worth using. If you write statistical software, this post will help you confirm the correctness of the code that you write.”

8. Have the public clouds killed Hadoop?

MapR Technologies recently announced that, without a buyer or major funder, the company was weeks away from having to shut down operations and lay off more than 120 employees. (They may have found a buyer.) Cloudera, which in January closed a $5.2 billion merger with Hortonworks, recently announced a poor quarter (and the retirement of its CEO). The announcement was rapidly followed by a 40% drop in stock prices. Is this the demise of Hadoop or just a bump in the road?

Strata NY Best Price

Deadline for the Strata New York Best Price is Friday, June 28. Reserve your spot before midnight and you’ll save up to $509. It’s happening Sept 23–26, and the lineup looks amazing. Make your plans soon.

9. Towards multiverse databases

“The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. The database takes on responsibility for authorization and transformation, and the application retains responsibility only for authentication and correct delegation of the authenticated principal on a database call. Such a design rules out an entire class of application errors, protecting private data from accidentally leaking.”

Registration is now open for the O’Reilly AI Conference in London

O’Reilly AI Conference is coming to London October 14–17 and registration is now open.

You’ll get insider info on the newest technologies—including specialized hardware for sensing, model training, and inference and cloud and on-premises tools for building AI applications. In-depth training courses. A look at what’s coming so you can develop strategies to implement AI systems that give you a competitive advantage. And a unique opportunity to brainstorm with the brightest minds in AI.

10. I spy, you spy, they all spy

WeChat got zero out of 100 from Amnesty International for its lack of freedom-of-speech protection and lack of end-to-end encryption (for comparison, Facebook scored a 73). “WeChat is watching” explains how WeChat’s ability to tie apps together with social media and payments created a data centralization tool that has “metastasized into every aspect of people’s lives in China.”

1. Enabling end-to-end machine learning pipelines in real-world applications

In this episode of the O’Reilly Data Show Podcast, Nick Pentreath and Ben Lorica discuss overcoming challenges in productionizing machine learning models.

2. The mystery of the miserable employees

“The business unit was doing well, but the employees were sad. Could data offer a clue?”

3. What are model governance and model operations?

Here’s a look at tools for building and deploying robust, production-ready machine learning models.

+ Check out the model development, governance, and operations sessions at the O’Reilly Strata Data Conference in New York, September 23–26.

4. Unsatisfied

Although data scientist demand is growing (with a healthy average salary of $120,000 a year), 30% of data scientist and ML engineer respondents to a recent FigureEight survey said that they’re only somewhat satisfied in their job role, and nearly 9% said they’re not satisfied at all. Meanwhile, 73.5% of technical respondents say they spend 25% or more of their time managing, cleaning, and/or labeling data. Hmmm...

+ Practical Data Cleaning with Python, live O’Reilly online course, June 26–27

5. 10 compelling machine learning dissertations from PhD students

This could be a glimpse of the future of machine learning.

IN COLLABORATION WITH Qubole

Free ebook: Operationalizing the Data Lake

As companies are leveraging more and more unstructured data to make data-driven decisions, data lakes have become essential. But few companies have been able to truly operationalize data across the entire organization and extract value from a cloud data lake. This ebook, courtesy of Qubole, will help you build a cloud data lake operation.

6. Why you’re not a job-ready data scientist (yet)

Jeremie Harris lays out the specific technical and nontechnical skills that companies want most in a data scientist—but that most applicants don’t have.

If any of this advice applies to you, here are some resources to get the necessary skills:

• Learning Python for Data Science (video course on O’Reilly)
• Getting Started with Python 3 (live online O’Reilly course, Aug 5–6)
• Probability Theory (PDF of textbook)

7. Tackling climate change with machine learning

Quite a few machine learning experts cooperated on this wide-ranging paper that details ways that machine learning could help combat climate change.

8. The Sleeping Beauty problem

“Never, ever, draw a graph representing measurements without error bars....There is a deeper truth to this practical rule. It implies that with any empirical evidence or data, there comes uncertainty as to its veracity. More so, if we are not able to gauge this uncertainty, the data become utterly useless.”

Registration is now open for TensorFlow World

The inaugural O’Reilly TensorFlow World is the first event of its kind—gathering the TensorFlow team, TensorFlow contributors and users, and machine learning experts to share best practices, promising (and tested) use cases, and a firsthand look at TensorFlow 2.0.

Join us at TensorFlow World in Santa Clara, October 28–31, to tap into this vibrant community and see TensorFlow’s power in action.

9. GDPR: One year later

“The General Data Protection Regulation (GDPR), the new privacy law for the European Union, went into effect on May 25, 2018. One year later, there is mounting evidence that the law has not produced its intended outcomes; moreover, the unintended consequences are severe and widespread.”

10. Stored in space

“Data centers consume the energy of 50 power plants and spew out more greenhouse gases than 140 countries. Now, space could save the day.”

Strata NY Best Price

Deadline for the Strata New York Best Price is Friday, June 28. Reserve your spot before midnight and you’ll save up to $509. It’s happening Sept 23–26, and the lineup looks amazing. Make your plans soon.

1. Rebuilding the solar system with CSS

Want to build the planets in our solar system using only CSS? This demo shows you how, including how to get the right relative rotation speed and tilt (and a fair amount of photorealism).

2. Generate new repositories with templates

GitHub has introduced repository templates. You just mark a repository as a template and you'll immediately be able to use it to generate new repositories with all of the template repository's files and folders.

3. How to use the Web Share API

The Web Share API triggers the native share dialog of a device (or desktop, if using Safari) when sharing content directly from a website or web app. This gives developers more control over what's shared and allows you to add sharing functionality into apps or websites by taking advantage of the native content sharing capabilities on a user's device. Here's an intro.

4. Advanced JavaScript questions (and their answers)

Lydia Hallie offers a list of advanced JavaScript questions and their answers.

+ Secure JavaScript with Node.js (O'Reilly live online course, July 10)

5. Incorporating Google Analytics into web apps

Take a look at this YouTube tutorial that explains how to incorporate Google Analytics into web apps.

Subscriber's deal for OSCON

Our readers are rewarded. Here's an example: you can take 30% off your Gold, Silver, or Bronze pass to the O'Reilly Open Source Software Conference (OSCON). It's a great lineup; check out the program. (With well over 100 sessions plus tutorials, training courses, and events, it may be hard to choose.)

Then make your plans—and remember to use code VIP30 before the June 28 deadline when registering to claim your newsletter reader discount.

6. Why Siri and Alexa weren't built to smack down harassment

If a user told Siri, "You're a slut," her programmed response was, "I'd blush if I could." Why didn't she say, "Hey, jerk, why don't you find another assistant to make stupid comments to!"? Here's why.

7. Checklist for mobile app security

If you're building a mobile app, you know this. But it's handy to have a checklist to make sure you haven't forgotten anything.

8. Coming soon to a Twitter feed near you: The GraphQL documentary trailer

+ Want a deeper dive? Check out Creating React Applications with GraphQL, an O'Reilly live online course, June 24

1. React for Vue developers

Sebastian De Deyne prefers React to Vue. In this post he takes a look a Vue features and how he would write them using React with hooks.

+ React Hooks in Action (live online course on the O’Reilly learning platform, June 14)

2. 50 awesome new tools for developers

The best new build tools, frameworks and libraries, and HTML and CSS tools.

3. Why I'm still using jQuery in 2019

"I don’t need jQuery, but it sure is nice!" Here’s why.

4. I don’t understand micro-frontends

Dan Abramov tweeted, "I don’t understand micro-frontends." He’s not the only one. Luca Mezzalira responded with this post explaining micro-frontends.

+ Building Micro-frontends (live online course on the O’Reilly learning platform, July 22)

5. Just enough React for the interview

Got an interview coming up? This cheat sheet tells you what you need to know about React before you walk in.

Subscriber perk: Get 25% off your OSCON pass (ends June 7)

Subscribing has its perks: you can take 25% off your O’Reilly Open Source Software Conference pass (on top of Best Price) if you reserve by June 7. Just use promo code WEBNL25 when registering. It’s happening July 15–18 in Portland, and you don’t want to miss it.

6. How eBay made a web app 50x faster by switching programming languages

eBay boosted the performance of a demanding web app by 50x by using WebAssembly instead of JavaScript.

7. How to optimize reactive websites for search engines and bots

Websites created with reactive frameworks such as React, Vue.js, and Angular can do amazing things. But how do they perform in terms of SEO? Here’s a look at Vue and SEO.

+ Building Web Apps with Vue.js (live online course on the O’Reilly learning platform, June 12)

8. Utility-first CSS: Ridiculously fast front end development

Utility-first CSS is a fast, robust, and a low-maintenance approach to creating fully responsive web applications. Sascha Wolff explains.

1. One simple chart: Who’s interested in Spark NLP?

As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use.

+ For more on Spark NLP, check out the three-hour tutorial, Natural Language Understanding at Scale with Spark NLP, at the O’Reilly Strata Data Conference in New York.

2. Data as a service is not SaaS. It’s not compute, either.

“Data businesses are generally misunderstood. DaaS has different metrics than SaaS,” tweets Auren Hoffman. (His Twitter thread is worth reading in itself.) In this post, he explains “In the end, great data companies look like the ugly child of a SaaS company (like Salesforce) and a compute service (like AWS).”

3. Using AWK and R to parse 25 TBs of TSVs

Nick Strayer walks through the steps he took (and the lessons he learned) using R and AWK to clean up a large amount of raw DNA sequencing data for faster querying.

4. Query speed can solve data silo issues

Here’s how.

5. Using causal inference to improve the Uber user experience

Uber Labs leverages causal inference, a statistical method for better understanding the cause of experiment results, to improve its products and operations analysis. See how Uber does it.

+ How Machine Learning Powers the Uber Infrastructure (case study on O’Reilly)

IN COLLABORATION WITH Qubole

Free ebook: Machine Learning at Enterprise Scale

Machine Learning at Enterprise Scale: How Real Practitioners Handle Six Common Challenges will help you:

• Reconcile disparate interfaces
• Resolve environment dependencies
• Ensure close collaboration among all ML stakeholders
• Build or rent adequate ML infrastructure
• Meet the scalability needs of your application
• Enable smooth deployment of ML projects

And it’s yours free, courtesy of Qubole.

6. How iRobot uses data science to innovate

In this Masters of Data podcast episode, Angela Bassa, director of data science at iRobot, discusses robot teaming, discharging technical debt, and how iRobot innovates using data.

7. Deep set prediction networks

Current approaches to predicting a set from a feature vector in a deep neural network tend to ignore the set structure of the problem and suffer from discontinuity issues as a result. This paper proposes a general model for predicting sets that avoids these issues by autoencoding point sets, predicting bounding boxes of the set of objects in an image, and predicting the attributes of these objects in an image.

8. Bad news: The game

A browser game designed by Cambridge researchers appears to inoculate users against misinformation. “We conducted a large-scale evaluation of the game with N?=?15,000 participants in a pre-post gameplay design. We provide initial evidence that people’s ability to spot and resist misinformation improves after gameplay, irrespective of education, age, political ideology, and cognitive style.”

Execs: Check out the Strata Business Summit

At the Strata Business Summit in New York, business leaders and strategists gather to get a thorough understanding of how some of the world’s leading companies build successful data strategies. You’ll also get a handpicked lineup of concise, insightful executive briefings on the key data and AI issues you need to be aware of.

If you’re responsible for your organization’s data or AI strategies, you won’t want to miss this.

9. Must have 10+ years of deep learning experience…

Time travel experience a +. Data science job postings are often confusing (or the object of ridicule). Here’s how to make sense of (some of) them.

10. Fish + music = bass

Word2vec is funny. But do you know how funny? As Grace Avery points out, “Everyone mentions the example ‘king – man + woman = queen’, but no one mentions the delightful ‘yeti – snow + economics = homo economicus’.” What about “fish + education = Matt Krupnick covers”? Or “desert : quicksand :: suburbia : neurosis.” How about “gospel – God = jazz”?

Who’s coming to the O’Reilly AI Conference in London?

At the O’Reilly AI Conference happening in London October 14–17, you’ll hear from innovative researchers, talented CxOs, and senior developers who are doing amazing things with AI—representing companies as diverse as Google, Travelers Insurance, Amazon Web Services, Siemens, Melbourne Business School, Facebook, Rakuten, Capital One, and (wait for it) more. Outstanding depth and breadth and a fascinating lineup. Check it out.

Hello there,

Curating learning for an entire organization can be daunting. Your workforce needs to continually learn topics specific to their career, skill level, and the technologies they are required to use.

A newly promoted manager may need basic leadership skills, while your CIO needs a deeply technical approach to data security. One person may need to learn a new skill, while another just needs a quick solution to a pressing problem.

In fact, our research shows that users of the O’Reilly online learning platform save about an hour a week by using it to solve problems while they work. Coupled with building new skills, we’re helping to make teams more productive. Request a demo to learn more.

The free ebook, Investing in Employees, explores how to scale learning across your entire organization.

Enjoy!

1. Machine learning use cases in finance

In this episode of the O’Reilly Data Show Podcast, Jike Chong, chief data scientist at Acorns (a startup focused on building tools for micro-investing), discusses the current state of data science in financial services in both the US and China; recruiting, training, and managing data science teams in the US and China; and interesting data use cases for finance.

+ Jike Chong will teach a two-day training course on the applications of data science in financial services at the Artificial Intelligence Conference in Beijing, June 18–21.

2. Becoming a machine learning company

Companies successfully adopt machine learning either by building on existing data products and services or by modernizing existing models and algorithms. Ben Lorica shares the results from a recent survey on machine learning adoption.

+ Want to know more? Join us at the O’Reilly Strata Data Conference in New York, September 23–26.

3. How data (and some breathtaking soccer) brought Liverpool to the cusp of glory

“The club is finishing a phenomenal season—thanks in part to an unrivaled reliance on analytics.”

4. Why managing machines is harder than you think

Here’s a recap of a recent talk by Pete Skomoroch about product management for machine learning products.

+ Herding Cats: Product Management in the Machine Learning Era (tutorial at the AI Conference in San Jose, Sept 10)

5. Cross validation in one picture

A picture’s worth a thousand words. This one explains k-fold cross validation.

IN COLLABORATION WITH Dataiku

Free chapters of the not-yet-released Practical Deep Learning for Cloud and Mobile

This preview edition of chapters 2 and 3 of Practical Deep Learning for Cloud and Mobile is a work in progress. The final book is currently scheduled for release in October 2019. But, courtesy of Dataiku, you can get a first look at this upcoming book.

6. Do your data scientists know the “why” behind their work?

We probably don’t need to tell you they should. Here are some steps you can take to ensure they do.

7. Matrices as tensor network diagrams

“Here’s the basic idea. An m×n matrix M with real entries represents a linear map from Rn?Rm. Such a mapping can be pictured as a node with two edges. One edge represents the input space; the other edge represents the output space.” Recommended.

8. The quiet semisupervised revolution

Vincent Vanhoucke, principal scientist at Google, explores the latest advances in semisupervised learning—and how they could change machine learning.

Who will be at the O’Reilly AI Conference in San Jose?

Michael Jordan. Srinivas Narayanan. Paige Bailey. Lukas Biewald. Bahman Bahmani. Anuradha Gali. And 118 more speakers, representing companies as diverse as Google, Uber, Capital One, Rakuten, AT&T, Twitter, Visa, Microsoft, AWS, and more.

The O’Reilly AI Conference is coming to San Jose Sept 9–12. Don’t miss it.

9. Tips for maintainable ETLs

Stich Fix data scientist Chris Moradi tips for making your pipelines easier to debug, support, and extend.

+ The Changing Face of ETL: Event-Driven Architectures for Data Engineers (video from the 2019 Strata Data Conference in London on the O’Reilly learning platform)

10. Innovations in data storage

Robin Harris looks ahead to predict what’s coming in computer data storage.

1. How NerdWallet dialed machine learning up to 11

“Our data science team set out on building the best model they could. They wrote a query, downloaded their datasets, and used their Jupyter notebooks to build a model. Once completed, they handed off a serialized version of said model to integrate into a web-service. While seemingly simple, this workflow had a few fatal flaws.” Here are the fatal flaws (and how NerdWallet addressed them).

+ Machine Learning at Enterprise Scale (ebook available only to O’Reilly learning subscribers)

2. 3 pitfalls to avoid in machine learning

Google’s Patrick Riley calls for clear standards in machine learning research and reporting.

The O’Reilly data engineering resource center is live

If you’re a member of O’Reilly learning, good news: The first set of our resource centers are now live. Each one is hand-curated by experts. No more guesswork—you’re guided to exactly where you need to begin (and where to go next), to get the answers you need. This first set includes data engineering, AI, cloud, beginning Python, new manager, and several others. If you’re an O’Reilly learning subscriber, check them out. (If you’re not a member, you can get a 10-day free trial.)

3. How to allocate and size your data teams

Pardis Noorzad, a data science manager at Twitter, offers recommendations on how to organize data science teams.

4. Make your SQL queries faster

Randy Au describes some useful strategies for making your SQL queries faster.

5. Microsoft looks to “do for data sharing what open source did for code”

Microsoft wants to standardize data-sharing terms through redesigned licensing agreements. Samples are ready for preview and comment.

6. Make data science more useful

In this episode of the O’Reilly Data Show podcast, Cassie Kozyrkov and Ben Lorica discuss connecting data and AI to business.

+ Cassie Kozyrkov will deliver a keynote on safe, reliable, and responsible machine learning at the Strata Data Conference in New York, September 26

7. How I built a spreadsheet app with Python to make data science easier

Rick Lamers has open-sourced Grid studio, his web-based Python spreadsheet application. Here’s an intro and here’s the GitHub repo.

8. Meet the data viz wonk who won over Reddit’s r/dataisbeautiful

Bo McCready has become a mainstay on Reddit’s r/dataisbeautiful thanks to his creative data visualizations covering everything from farm animals to the history of one-hit wonders. “I spent so many years working in an academic setting where I was happy if anyone read my work at all. When you add up the hits, upvotes, likes, and retweets, I think millions of people have engaged with my creative data projects in 2019, and that’s something I never would have imagined being able to say a year ago,” he said.

Heads up: TensorFlow World and Strata prices going up Friday

• The O’Reilly Strata Data Conference in New York Early Price expires at midnight this Friday (August 9). Get your pass and reserve the training courses and tutorials you’re interested in today—seats are limited and filling up fast.

• TensorFlow World Best Price also expires at midnight Friday. Check out the program and make your plans today.

9. Moving data from Kafka to BigQuery

A look at Gojek’s open source solution for easy movement of data from Kafka to BigQuery.

10. “The Google Cloud Developer’s Cheat Sheet”

“Every product in the Google Cloud family described in <=4 words (with liberal use of hyphens and slashes ????) by the Google Developer Relations Team.”

Hi there,

Many training failures could be avoided if the learner could engage with the content in a way that’s convenient and doesn’t disrupt their work, and it was in a format that resonates with their style of learning.

Providing the right information, at the right time, and in the right format is essential, but it’s a tall order for L&D professionals to fill.

Some employees may need to find a solution to a problem in the midst of their workday; while others need a quiet block of time to build their skills. Some prefer to learn by reading, others by listening or watching, and still others learn best in person or need to interact in a hands-on way to really master the topic. And the format that works best at one stage may be ineffective later in their learning process.

This free excerpt from Chapter 4 of Revolutionize Learning & Development: Performance and Innovation Strategy for the Information Age, explores how learners need different support at different times and what is necessary to achieve true learning.

Enjoy!

P.S. Our learning platform provides information in the format your employees prefer for the challenge at hand—from books and videos to curated learning paths and case studies to interactive tutorials and live online classes. Request a demo.

1. JavaScript SEO basics

Google offers a guide that explains how Google search processes JavaScript and provides some best practices for improving JavaScript web apps for Google search.

2. Twitter's redesign isn't about you

It's about them.

3. 5 ways to write better JavaScript

A few practical things to consider in order to write better JavaScript.

4. Just in time for the TypeScript 3.6 beta...

TypeScript is now a 'top 10' language according to the RedMonk Programming Language Rankings. Maybe with the 3.6 beta's improved iterator types and generator functions, it will move up to #nine.

+ Take a look at Introduction to TypeScript programming, a live online O'Reilly course, August 5.

5. US mobile speeds are super slow

The US ranks 40th in the world for mean mobile download speeds. Here's what we can do about it.

Did you miss OSCON?

The recent O'Reilly Open Source Software Conference in Portland was pretty spectacular. You can get a glimpse of some of the highlights here. If you want to be sure you don't miss it next year, book your Bronze pass for 2020 now for just $700 using code SAVENOW. (Offer is only good until midnight, August 2.)

6. 3 essential tools to boost your React app's SEO

Want to ramp up your React app's SEO? This intro, with sample code and a companion video, should help.

+ Check out Getting Started with React.js, a live online O'Reilly training course, August 14

7. Building PizzaQL at the age of 16

Want to feel like an underachiever? This episode of the JS Party podcast features Antoni Kepinski discussing the open source pizza ordering management web app he built at 16.

8. The worst volume control UI in the world

Old, but funny. And maybe just a bit instructive (in that whatever-you-do-don't-do-this way).

1. TypeScript gets a long-awaited feature

Optional chaining is expected in TypeScript’s 3.7 release.

+ Using (or thinking about using) TypeScript? Check out Boris Cherny’s new book, Programming TypeScript: Making Your JavaScript Applications Scale.

2. I used the web for a day on a 50 MB budget

In developing countries, broadband infrastructure is skimpy and data can be prohibitively expensive. Chris Ashton put himself in the shoes of someone on a tight data budget to see what the experience is like and offers practical tips for reducing our websites’ data footprint.

3. Google’s new Chrome update makes it easier to bypass newspaper paywalls

Many newspapers cap the number of free articles you can read. But with Google Chrome’s Incognito mode, it was pretty easy to get past the paywall. In response, several newspapers (including the NYT and Washington Post) implemented a fix that detected and blocked users in Incognito mode. But the latest update to Google’s Chrome browser promises an Incognito mode workaround for the block, which may encourage newspapers to build hard paywalls.

4. New bill would ban autoplay videos and endless scrolling

Because video autoplay and endless scrolling is “addictive design.”

5. 6 assumptions that could break your website

Ada Rose Cannon discusses six “false assumptions developers often make which will make websites brittle.”

6. 13 free tools for API design, development, and testing

If you’re working with APIs, check out these free tools.

7. An intro to optimizing a React Native app

Thomas Kjær-Rasmussen optimized the performance of a large bank’s mobile app. Here’s what he wishes he knew before starting.

+ Check out Getting Started with React.js, a live online O’Reilly course, August 14

8. How to write a simple MVC app in plain JavaScript

Want to write an application in plain JavaScript using the model-view-controller architectural pattern? This tutorial may help.

1. One simple graphic: Researchers love PyTorch and TensorFlow

Interest in PyTorch among researchers is growing rapidly. Ben Lorica demonstrates.

+ Deep Learning with PyTorch (two-day training course at the O'Reilly AI Conference in San Jose)

2. All hail the algorithm

Al-Jazeera has published a five-part series exploring the impact of algorithms on our everyday lives.

3. The average US data breach costs $8.19 million

Although inadvertent data breaches still account for 49% of all data breaches, malicious breaches are on the rise and cost on average $4.45 million—but in the US the average is nearly twice that. The average lifecycle of a breach was 279 days with companies taking 206 days to first identify a breach after it occurs and an additional 73 days to contain the breach. The good news is those who detected and contained a breach in less than 200 days spent $1.2 million less.

+ Equifax has been fined $700 million for its 2017 data breach.

4. How is Prefect different than Airflow?

Christopher White takes a look at the Prefect engine for Airflow users.

5. NYT thinks a blockchain could help stamp out fake news

The New York Times has launched the News Provenance Project, experimenting in ways to combat misinformation in the news media. The first project will focus on using a blockchain to prove that photos are authentic.

+ Hadley Stern on how blockchain technology will affect you and your business (video)

Free eBook: Machine Learning Interpretability

Understanding and trusting models and their results is a hallmark of good science. Get the ebook from O'Reilly, compliments of Dataiku, to get an applied perspective on how this applies to machine learning, including fairness, accountability, transparency, and explainable AI

6. 3 strategies for working with data in R

"For many R users, it’s obvious why you’d want to use R with big data, but not so obvious how." Here's how.

+ How the R-ladies made data science inclusive.

7. Open-sourcing Brooklin: Near real-time data streaming at scale

LinkedIn is open-sourcing Brooklin, a distributed service for streaming data in near real-time and at scale. Here's a description of Brooklin (and here's the GitHub repo).

8. How is ML transforming small business lending?

Daniel Gutierrez looks at how AI and ML are changing small business lending practices.

+ Check out Findata Day at Strata in NY.

Prices are going up Friday for the AI Conference in San Jose

Early Price for the O'Reilly AI Conference in San Jose expires at midnight this Friday, August 2. That's up to $400 off. It's happening September 9–12.

9. 5 ways to keep your data warehouse organized

"Unless action is taken to maintain order in your data warehouse, it will inevitably spiral into a hard to navigate, hard to operate collection of objects that you’re too afraid to delete. While maintaining databases was once the job of dedicated Database Administrators, these days it’s common for no one (or rather, everyone) to be directly responsible for maintaining order in the database." Claire Carroll maps a route through the chaos.

Got a data engineering article idea?

O'Reilly is developing a new collection of articles, pearls of wisdom collected from leading experts, called 97 Things Every Data Engineer Should Know. This collection will include varied perspectives on a range of topics that data engineers should be aware of—building pipelines, batch and stream processing, data privacy, data security, data governance and lineage, data storage, career advice, data team makeup and culture—from the granular issues to big-picture concepts. To submit an article (maximum 500 words), please fill out this Google Form.

10. Florence Nightingale was a data vis hero

1850's style: "It is as criminal to have a mortality of 17, 19, and 20 per thousand in the Line, Artillery and Guards, when that in civil life is only 11 per 1,000, as it would be to take 1,100 men out upon Salisbury Plain and shoot them." Worth a read.

1. Companies collect a lot of data, but how much do they actually use?

55% of the data collected is “dark data”—data that’s never used.

2. The future of data engineering

Chris Riccomini discusses what to expect in the next few years in data engineering and four areas he anticipates will face major change.

+ Check out the data engineering sessions at the O’Reilly Strata Data Conference in New York. And the data engineering resource center on O’Reilly learning.

3. These companies claim to provide fair-trade data work. Do they?

There’s a lot of human labor in building AI systems, mostly tedious cleaning, categorizing, and labeling of data. Many of these invisible human workers live in India, Kenya, Malaysia, and the Philippines. Companies like CloudFactory, iMerit, and Samasource promise datasets provided by workers who are well paid and cared for. But standards vary widely.

4. What is decision intelligence?

“Decision intelligence is a new academic discipline concerned with all aspects of selecting between options.” Cassie Kozyrkov explains.

+ Cassie Kozyrkov will give a keynote at the Strata Data Conference in New York, September 23–26.

5. Introducing the funneljoin package

“Have you ever had a ‘first this then that’ question? For example, maybe you’re an e-commerce business and you want all the times people clicked on an item and then added it to their cart within 2 days, or the last page they visited before registering.” If so, you may want to read up on the funneljoin package for R.

Small-group, hands-on training at Strata in New York

Strata’s two-day intensive, expert-led training courses give you hands-on experience in the technologies you need to succeed—they cover everything from TensorFlow to recommendation systems to serverless data apps. And the class size is kept small so you get individual attention. But that means they fill up fast. So reserve your seat at the courses that interest you ASAP.

6. Modeling conversion rates and saving millions of dollars

This post clearly shows how to analyze conversion rates and conversion rate changes over time and estimate lifetime value—without substantial delay. It includes a description of Convoys, a Python package that you can use to fit the models described. Recommended.

7. Python is eating the world

“How one developer’s side project became the hottest programming language on the planet.”

8. I studied machine learning every day for 9 months, then got a job.

Daniel Bourke taught himself machine learning five days a week and drove Uber on weekends to earn himself an ML job. Here’s how he did it.

+ Looking for a place to start your own self-designed master’s program? Check out O’Reilly learning.

What do you get with the O’Reilly AI Conference Expo Plus Pass?

You get a lot for just $145. If you’re not ready to commit to the full O’Reilly AI Conference in San Jose experience, take a look at the Expo Plus Pass. You’ll be able to test-drive new tools, compare products, attend sponsored sessions, meet with speakers and authors, get access to 90 days of O’Reilly online learning (a $117 value), and much more. It’s a great opportunity to see what’s new in AI tools and technologies, network, and get a taste of the O’Reilly AI Conference.

9. Progression of a data scientist

“The career trajectory of a data scientist depends chiefly on how much impact they are able to have.”

10. What every data analyst and data scientist should be able to do

1. This ain't Disney

Mohammed Ibrahim offers a practical guide to CSS transitions and animations.

2. Intro to Svelte

"A few months ago, Svelte 3 was released. I tried it out, ran through their tutorial, and built a few small things. And I can honestly say that I think writing Svelte feels even faster and easier than React. Svelte gave me the same spark, the same feeling of 'wow!' that I had with React." Here, Dave Ceddia provides an introduction to Svelte.

3. How to make a realistic glass effect with SVG

This step-by-step tutorial explains how to create a glass text effect using SVG.

4. Blockchain primitives for Web 3.0 development

Kirill Shilov says that it may be time for languages like Ride and Move so we can create easily programmable, automatically synergistic, efficient code to move decentralized technology forward.

5. 13 tips to write faster, better-optimized JavaScript

Here are 13 tips and tricks to increase the speed of your code.

+ Check out Secrets of the JavaScript Ninja, second edition.

6. How to get into open source software

In this episode of the JS Party podcast, Node.js core contributor Ujjwal Sharma discusses how to get into the world of open source software.

+ Want a deeper dive into open source software? Make plans to join us for OSCON 2020 in Portland, July 15–18.

7. Full JAMstack React developer

In this episode of the ShopTalk Show podcast, Dave Rupert and Chris Coyier talk about what JAMstack means to them, what it means to be called a full stack developer, responsible code, and why web tech is hard.

8. Music for programming (2019 edition)

You either like to listen to music when you code, or you hate it. If you hate it, don't click here.

1. Cracking the box: Interpreting black box ML models

Here are a few ways to tackle the interpretability of ML models using Python.

2. Making Apache Spark effortless for all of Uber

Uber’s engineering team offers a deep, deep dive into how Uber uses Spark.

+ Case study on O’Reilly learning: How Uber used natural language processing and deep learning to improve customer service satisfaction.

3. Matplotlib 3.1 cheatsheet

Handy.

4. How to build and manage training data with Snorkel

In this episode of the O’Reilly Data Show podcast, Ben Lorica and Alex Ratner talk about how to build and manage training data with Snorkel.

+ Alex Ratner’s talk, Building and Managing Training Datasets for ML with Snorkel, is part of a strong slate of sessions on data, data networks, and data quality at the O’Reilly Artificial Intelligence Conference in San Jose.

5. Making uncommon knowledge common

Rich Barton founded Zillow, Expedia, and Glassdoor. “The Rich Barton Playbook is building Data Content Loops to disintermediate incumbents and dominate Search. And then using this traction to own demand in their industries. Or as he puts it ‘Power to the People.’”

IN COLLABORATION WITH IBM

Free ebook: Getting Your Data Ready for AI

One of the biggest obstacles to a successful AI implementation is getting the data ready: the tedious process of accessing, labeling, and transforming your data. This practical ebook explores a new crop of self-service data preparation tools and services for automating data wrangling. And it’s free, courtesy of IBM. Check it out.

6. 10 simple rules for Jupyter Notebooks

Check out these ten best practices for writing and sharing computational analysis in Jupyter Notebooks. These guidelines will help ensure that your work is maintainable, reproducible, and understandable.

7. Why Monzo wasn’t working on July 29

In this post, Chris Evans describes Monzo’s recent outage (which was caused by issues with their configuration and usage of Apache Cassandra), how they identified the problem, and how the company plans to split their single Cassandra cluster into multiple clusters.

+ Building Applications with Apache Cassandra, live online O’Reilly course, September 6

8. 5 sampling algorithms you should know

Here’s an intro to common sampling techniques.

IN COLLABORATION WITH Cisco

Cisco Data Intelligence Platform

Come hear Siva Sivakumar’s keynote on the new Cisco Data Intelligence Platform (CDIP) at Strata in New York. Discover how this cloud-scale architecture brings together big data, AI/compute farm, and storage tiers to work together as a single entity while also being able to scale independently to address the IT issues in the modern data center.

9. Blockchain solutions in enterprise

What are the crucial steps for a successful blockchain-based solution?

10. Resume not working?

Seven reasons your resume could be failing you.

Small-group, hands-on training at Strata in New York

Strata’s two-day intensive, expert-led training courses give you hands-on experience in the technologies you need to succeed—they cover everything from TensorFlow to recommendation systems to serverless data apps. And the class size is kept small so you get individual attention. But that means they fill up fast. So reserve your seat at the courses that interest you ASAP.

Hi there,

If you haven’t registered for the O’Reilly AI Conference yet, now’s the time—it’s coming up in just three weeks, September 9–12, in San Jose. Hotel rooms are booking up, and we want to see you again.

To help you make your plans, we have a one-week-only special: 25% off your Gold, Silver, or Bronze pass. Passes start at $821 with code OWO25 if you register by midnight on Friday, August 23.

The O’Reilly AI Conference in San Jose sold out last year. So grab your pass now and see why this event earns rave reviews like:

“Thanks for the great conference. Can’t wait to put some of the things we learned into practice and hope to be back next year.”

“More of a practical AI conference than many of the others.”

“Excellent sessions on the philosophical and policy implications of AI.”

See you in San Jose.

Ben Lorica, Julie Choi, and Roger Chen
Program Chairs

PS Still undecided? Check out the program. It’s pretty impressive, if we do say so ourselves.

Hi there,

We’re thrilled that Training Industry has named us a 2019 Top Online Learning Company. O’Reilly was selected for the breadth and quality of our technical content and courses and for innovation.

We can’t claim all the credit for the breadth and depth of our content and courses—our platform includes content from thousands of experts and all of the top tech publishers’ including Pearson, Wiley, and Packt, in addition to our own.

But the innovation? That’s ours alone. Recent updates to our platform include new learning behavior modules (outcome-based measurements such as linear and nonlinear learning, and deepening and broadening engagement) in our learning Insights Dashboard, resource centers covering the most important technologies, and playlists created by some of the leading experts in their fields. If you’ve been thinking about trying out O’Reilly online learning, now is the time. Request a demo.

1. JavaScript and Node testing best practices

Want to take your testing skills to the next level? Spend some time with this exhaustive repository of JavaScript and Node.js testing best practices.

2. React v16.9.0 and the road map update

Here's a look at what's new in React 16.9.

+ Check out Advanced React.js, a live online O'Reilly course, September 18

3. The best VS Code extension list for full stack developers

Almost every extension full stack developers using VS Code might need, covering documentation, version control, general maintenance, server development, client development, and readability, is listed here.

4. CSS Writing Modes and layout

If you want to work with vertical scripts or just want some creative leeway, CSS Writing Modes can be pretty useful. But they have an effect on layout methods that are increasingly being applied across CSS. Rachel Andrew believes understanding writing modes is essential. Here's why.

+ Rachel is leading a live online course on O'Reilly tomorrow (Aug 22): CSS Layout Fundamentals: From floats to flexbox and CSS grid.

5. 9 JavaScript tips and tricks

Some of these could save you a little time.

6. Is modern JS tooling too complicated?

The JS Party Podcast team takes on JS tooling complexity in this "YepNope" debate segment.

7. The history and legacy of JQuery

Danny Guo explores why jQuery became popular, why it has somewhat fallen out of favor, and why you still might want to use it (and when).

8. How to create image trail effects

Here's a tutorial that shows how to apply a mouse interaction effect that follows the mouse with a trail of random images.

Hi there,

Quick reminder: The O’Reilly AI Conference is coming to San Jose Sept 9–12, and your 25% discount code expires tonight. You’ll save up to $416 on Gold, Silver, and Bronze passes when you use the code OWO25.

Register today to save—and to reserve your spot. Last year, we sold out.

See you in San Jose.

Ben Lorica, Julie Choi, and Roger Chen
O’Reilly AI Conference Program Chairs

PS Hotel rooms are booking up fast too. Nab one before they’re all gone.

Hi there,

Don’t have time for the full O’Reilly Artificial Intelligence Conference experience? Check out the Expo Plus pass.

You get a lot for just $145.

You’ll be able to test-drive new tools, compare products, attend sponsored sessions, meet with speakers and authors, get access to 90 days of O’Reilly online learning (a $117 value), and more. It’s a great opportunity to see what’s new in AI tools and technologies, network, and get a taste of the O’Reilly AI Conference in San Jose.

See you in San Jose, September 9–12.

Ben Lorica, Julie Choi, and Roger Chen
Program Chairs

1. What’s next for R?

Hadley Wickham discusses R and where it’s going, tidy evaluation, and the different cultures of R and Python users and how their viewpoints differ.

2. Understanding Apache Arrow Flight

“A clear opportunity emerged for a standard in-memory representation that every engine can use; one that’s modern, and that takes advantage of all the new performance strategies that are now available; and one that makes sharing of data across platforms seamless and efficient. This is the goal of Apache Arrow.” Lucio Daza takes a look at Apache Arrow Flight and how to use it.

+ Check out the data engineering sessions at the O’Reilly Strata Data Conference in New York. And the data engineering resource center on O’Reilly learning.

IN COLLABORATION WITH MemSQL

Data innovation for banking and FiServ

This new guide from MemSQL shows how banks and other financial services companies are implementing digital transformation through upgrades to their data infrastructure, with reference architectures.

3. Why are p-values like needles?

It’s dangerous to share them.

4. Building shared-state microservices for distributed systems with Kafka Streams

Nitzan Gilkis explains how Imperva used Kafka Streams to build shared-state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in its system.

5. Beyond interactive: Notebook innovation at Netflix

This post explains why Netflix technologists find Jupyter notebooks so compelling, components of the company’s notebook infrastructure, and some of the novel ways they’re using notebooks.

Intro to serverless machine learning with TensorFlow and BigQuery

Jeff Davis (2017 Google Cloud Trainer of the Year) will lead a full-day training course at Strata in New York on Monday, September 23. This course offers an intro to machine learning—and how to build your first ML model. It also covers Keras models, feature engineering, and productionizing the ML model using the Google Cloud AI Platform. And it’s open to anyone with a Bronze pass.

6. The ubiquitous, invisible inspection paradox

“The inspection paradox is a statistical illusion you’ve probably never heard of. It’s a common source of confusion, an occasional cause of error, and an opportunity for clever experimental design. And once you know about it, you see it everywhere.”

What does $145 buy you at the O’Reilly AI Conference?

Don’t have time for the full O’Reilly AI Conference experience? Check out the Expo Plus pass. You’ll be able to test-drive new tools, compare products, attend AI in the Enterprise: The Intel® AI Builders Showcase Event and other sponsored sessions, meet with speakers and authors, get access to 90 days of O’Reilly online learning (a $117 value), and (whew!) more. It’s a great opportunity to get a taste of the O’Reilly AI Conference in San Jose, happening Sept 9–12 for just $145.

7. The 5 graph algorithms that you should know

Rahul Agarwal describes some of the most important graph algorithms you should know and how to implement them using Python.

8. Freeing the data scientist mind from the curse of vectorization

You’ve probably learned to avoid loops and recursion because they make Python and R code slow. In this post, Daniel Moura says that using Julia, “the mindset differs completely and how C-like performance can be achieved out of the box.”

Speak at a Strata Conference

Do you have intriguing new use cases? Proven best practices? Stellar technical skills? Useful new research? Or a brilliant idea (or two) about data? The Call for Speakers is open for the O’Reilly Stata Data Conference in San Jose (deadline Sept 5) and Strata in London (deadline Oct 1). Get us your best ideas, and we’ll put you on stage before one of the most intelligent and engaged audiences in data.

9. Why you need to be using grep when programming with R

“There’s a reason that grep is included in most if not all programming language to this day 44 years later from creation. It’s useful and simple to use.”

10. I wasn’t getting hired as a data scientist. So I sought data on who is.

Hanif Samad decided to figure out what people who are successfully working in the field have actually done. “I had conflated the practice of data science with the strategy to become part of it,” he says. “To my surprise, these turned out not to be the same thing.”

1. Cheat sheet for moving from jQuery to vanilla JavaScript

With broad browser support for ES6 (over 96%), Tobias Ahlin says, "Now is probably a good time to move away from jQuery." Here's how.

2. React Dynamic Charts library

Working with data visualizations? Data doesn't have to be dull; lean into your creativity with customized dynamic charts—add images rather than plain text as a label, add custom callbacks when the animation starts, or go crazy with styles. Daniel Sternlicht's React Dynamic Charts library is a great start.

3. React slider with parallax hover effects

This tutorial explains how to build a React slider and implement a parallax hover effect.

+ Into React? Take a look at Advanced React.js, a live online O'Reilly course happening Sept 18.