Learn how to enable functional behavior in Scala code.
What data scientists need to know about production—and what production should expect from their data scientists.
HPC Training, Hard Tech, Analytics Platform, and Government-Vended Surveillance Data
Best practices and scalable workflows for reproducible data science.
The O’Reilly Design Podcast: Collaborating with engineering, hiring for humility, and the code debate.
Create business value and add new functionality through an automated build pipeline.
Lessons learned from 2016’s most important Linux security events.
Putting deep learning into practice with new tools, frameworks, and future developments.
The O’Reilly Security Podcast: Human error is not a root cause, studying success along with failure, and how humans make systems more resilient.
Results from the O’Reilly Cloud Platform Survey.
An interview with Susan Fowler, Site Reliability Engineer at Uber Technologies.
A look into the unspoken side of software architecture.
The O'Reilly Radar Podcast: The art and science of fostering serendipity skills.
The O’Reilly Data Show Podcast: Greg Diamos on building computer systems for deep learning and AI.
The O’Reilly Bots Podcast: A universal bot for messaging, mobile voice, and the home.
5 questions for Amy Silvers: Implementing, embedding, and championing user research in design teams.
Communication skills make or break the effectiveness of a developer.
What's coming with PWAs, Angular, React, and Vue; the rising tide of functional reactive; looking beyond REST to GraphQL and Falcor; and the future of artificial intelligence on the web.
BioHTP explored the projects the biohacking community is tackling, how the community is organized, and where it's going.
Drew Paroski and Gary Orenstein on the rapid spread of machine learning and predictive analytics
Focus on your customer’s needs and iterate.
An interview with Martin Thompson, High-Performance Computing Specialist at Real Logic.
From "Linux is a cancer" to Windows Subsystem for Linux.
Turning physical resource management into a data and learning problem.
Oren Etzioni talks about the current AI landscape, projects at the Allen Institute, and why we need AI to make sense of AI.
The O’Reilly Design Podcast: Identifying use cases for robots, the five laws of robots, and the ethics and philosophy of robotics.
The O’Reilly Hardware Podcast: An all-in-one workshop factory.
Hint: It’s not just one bright idea, repeated several times.
What to watch for in distributed systems, SRE, serverless, containers and more.
From disclosure to machine learning to IoT, here are the security trends to watch in the months ahead.
O'Reilly editors and web practitioners weigh in on what they hope to see in 2017.
From systems thinking to voice interfaces, these are the design trends to watch in the months ahead.
This DIY initiative aims to genotype Pacific salmon to help sustain and improve salmon populations.
Designers may well provide the missing link between AI and humanity.
What will innovations like dynamic plugins, serverless Go, and HTTP/2 Push mean for your development this year?
The O’Reilly Security Podcast: Sniffing out fraudulent sleeper cells, incubation in money transfer fraud, and adopting a more proactive stance.
An improved asyncio module, Pyjion for speed, and moving to Python 3 will make for a rich Python ecosystem.
From AI to uncertain political outlooks: What's on our radar.
From tools, to research, to ethics, Ben Lorica looks at what’s in store for artificial intelligence in 2017.
From deep learning to decoupling, here are the data trends to watch in the year ahead.
Mike Roberts, Co-founder at Symphonia, on how serverless came about, where it's being used, and what lies ahead.
Open source development, changing infrastructure, machine learning, and customer-first design meet in a perfect storm to shape the next massive digital transformation.
The biggest challenges for companies trying to reinvent themselves come from an inability to imagine a different way of doing things.
The O’Reilly Data Show Podcast: A look at some trends we’re watching in 2017.
The O'Reilly Radar Podcast: Designing for mainstream AI, natural language interfaces, and the importance of reinventing yourself.
The O’Reilly Bots Podcast: Recapping a revolutionary year in AI and bots, and looking ahead to 2017.
5 questions for Steve Portigal: User research war stories, mishaps and patterns, and challenging your assumptions.
How bots, threat intelligence, adversarial machine learning, and deep learning are impacting the security landscape.
The O’Reilly Design Podcast: Solving problems, user-centered design, and culture at NASA.
The O’Reilly Hardware Podcast: Designing and manufacturing a screenless tech device.
The O’Reilly Security Podcast: DRM in unexpected places, artistic and research hindrances, and ill-anticipated consequences.
The focus of the O'Reilly Velocity Conference is shifting from system administration to systems engineering.
Human-centered design and the challenges of complex problem-solving.
We need more philosophers, psychologists, poets, artists, politicians, anthropologists, social scientists, and critics of art in the conversation.
An interview with Scott Shaw, Head of Technology, Australia, at ThoughtWorks.
The O’Reilly Podcast: Stephen Ludin discusses how to get started with HTTP/2.
The O’Reilly Bots Podcast: X.ai founder on personal assistant agents that schedule your meetings.
The O’Reilly Data Show Podcast: Ion Stoica on building intelligent and secure applications on live data.
The O'Reilly Radar Podcast: Imbuing robots with magic, eschewing deception in AI, and problematic assumptions of human-taught reinforcement learning.
Cathy Pearl on how to think about conversations when designing for voice interactions.
5 questions for Desiree Garcia: Moving beyond building features and solutions to products and experiences.
Evaluating the state and development of Scala from a data engineering perspective.
The telecommunication industry’s unique position for new revenue opportunities in big data, IoT, and VR
Telcos must regain value from over-the-top services and develop new sources of revenue by leveraging their data and infrastructure.