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Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, w…

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Effective Python: 90 Specific Ways to Write Better Python

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Nexus: A Brief History of Information Networks from the Stone Age to AI

From the author of Sapiens comes the groundbreaking story of how information networks have made, and unmade, our world.

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Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'l…

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Psychiatrist Viktor Frankl's memoir has riveted generations of readers with its descriptions of life in Nazi death camps and its lessons for spiritual survival. Based on his own experience and the sto…

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Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures

There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With …

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Cosmos

This visually stunning book with over 250 full-color illustrations, many of them never before published, is based on Carl Sagan’s thirteen-part television series. Told with Sagan’s remarkable ability …

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Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices

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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with dat…

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The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change

Managing people is difficult wherever you work, but the tech industry as a whole is pretty bad at it. Tech companies in general lack the experience, tools, texts, and frameworks to do it well. And the…

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Spark: The Definitive Guide: Big Data Processing Made Simple

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new feat…

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The Little Book of Deep Learning

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The Pragmatic Programmer: From Journeyman to Master

Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a …

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Why Machines Learn: The Elegant Math Behind Modern AI

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence

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A Little History of Economics (Little Histories)

What causes poverty? Are economic crises inevitable under capitalism? Is government intervention in an economy a helpful approach or a disastrous idea? The answers to such basic economic questions mat…

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Deep Learning with Python

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What If?: Serious Scientific Answers to Absurd Hypothetical Questions

Fans of the xkcd comic ask Munroe a lot of strange questions: What if you tried to hit a baseball pitched at 90 percent the speed of light? How fast can you hit a speed bump while driving and live? If…

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Data Pipelines with Apache Airflow

Data Pipelines with Apache Airflow similar books

Fundamentals of Data Engineering: Plan and Build Robust Data Systems