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The O'Reilly Velocity Conference is the best place on the planet for web ops and systems engineering professionals like you to learn from your peers, exchange ideas with experts, and share best practi... more ››

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The O’Reilly Artificial Intelligence Conference gathers some of the brightest minds in AI to cut through the hype, identify and explain the most promising AI developments, and provide practical case s... more ››

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Strata Data Conference is where cutting-edge science and new business fundamentals intersect—and merge. It's a deep dive into emerging techniques and technologies. You'll dissect case studies, develop... more ››

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How do you get people to understand—and act on—your data? Join us at JupyterCon to discover how Jupyter Notebook, the immensely powerful tool for creating self-documenting, reproducible, and understan... more ››

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Discover the untapped opportunities of applied AI - The brightest minds in artificial intelligence will gather in New York to share how to implement AI in real world projects. Join us as we explore th... more ››

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From System Administration to Systems Engineering We've reached a point where the component parts of our software—technical, social, and organizational—exceed our ability to control their complexity. ... more ››

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In this practical book, author Susan Fowler presents a set of microservice standards in depth, drawing from her experience standardizing over a thousand microservices at Uber. You’ll learn how to desi... more ››

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Author Jeff Patton shows you how changeable story maps enable your team to hold better conversations about the project throughout the development process. Your team will learn to come away with a shar... more ››

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This book provides developers, enterprise architects, and site reliability engineers with a sound introduction to bleeding-edge Linux-based tools and technologies for both development and production e... more ››

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Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applicatio... more ››

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