Robust Python: Write Clean and Maintainable Code
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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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Fluent Python: Clear, Concise, and Effective Programming
Python's simplicity lets you become productive quickly, but this often means you aren't using everything it has to offer. With this hands-on guide, you'll learn how to write effective, idiomatic Pytho…
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Hands-On Machine Learning with Scikit-Learn and TensorFlow
A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about t…
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Artificial Intelligence: A Modern Approach
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduct…
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Clean Code: A Handbook of Agile Software Craftsmanship
Even bad code can function. But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code…
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Learning Go: An Idiomatic Approach to Real-World Go Programming
Go is rapidly becoming the preferred language for building web services. While there are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languag…
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The Art of Thinking Clearly
In engaging prose and with practical examples and anecdotes, an eye-opening look at human reasoning and essential reading for anyone with important decisions to make.
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Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More
An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers …
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Designing Data-Intensive Applications
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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Feel-Good Productivity: How to Do More of What Matters to You
The secret to productivity isn’t discipline. It’s joy.
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We think that productivity is all about hard work. That the road to success is lined with endless frustration and toil. But what if there’s anothe… -
Time Series Forecasting in Python
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.
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Pro Git (Expert's Voice in Software Development)
Git is the version control system developed by Linus Torvalds for Linux kernel development. It took the open source world by storm since its inception in 2005, and is used by small development shops a…
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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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How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers
The key to good and efficient writing lies in the intelligent organisation of ideas and notes. This book helps students, academics and nonfiction writers to get more done, write intelligent texts and …
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-a…
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged …
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Co-Intelligence: Living and Working with AI
**A New York Times Bestseller**
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'Co-Intelligence is the very best book I know about the ins, outs, and ethics of generative AI. Drop everything and read it cover to cover NOW' Angela Duckworth
Consumer …