At MentorCruise, we are all about making the most out of the experience of others. As part of that, we have connected and asked dozens of experts and professionals about their favouritePython books – and here are the answers.
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Understanding the concepts of Python starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.
Causal Inference and Discovery in Python helps you unlock the potential of causality. You'll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more.
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Created for developers of all skill levels to find the essentials of common operations combined with the fastest reference guide for writing code. This handy 6 page laminated guide is a concise desktop reference to key concepts behind Python logic, syntax, and operation. Expertly written to conc…
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Practices of the Python Pro teaches you to design and write professional-quality software that's understandable, maintainable, and extensible. Dane Hillard is a Python pro who has helped many dozens of developers make this step, and he knows what it takes.
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Effective Python, 59 Ways to Write Better Python by Brett Slatkin is a neat little book to help you hone your Python skills (both for 2 and 3). It consists of tips across various concepts, from useful built-in modules to documentation.
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Author Luciano Ramalho shows you how to get more from Python by outlining its core features — and demonstrating how that helps write clear, concise and effective code. This book provides a hands-on guide for writing modern Python 3 code.
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If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do …
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These books are not required for you to learn Python, but they are highly recommended for you to deepen your knowledge.
Head First Python, you'll quickly grasp Python's fundamentals, working with the built-in data structures and functions. Then you'll move on to building your very own webapp, exploring database management, exception handling, and data wrangling.
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If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.
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The hands-on Machine Learning book is an amazing piece by Aurélien Géron, taking you from the basics of Machine Learning to applying them to real-word scenarios all in one book.
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Ready to master Python? Learn to write effective code with this award-winning comprehensive guide, whether you’re a beginner or a professional programmer. Review core Python concepts, including functions, modularization, and object orientation and walk through the available data types. Then dive…
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Python Distilled has a perfectly suited title: This book is for experienced programmers who want to learn Python and need the Python programming language's core syntax, standard library, and Pythonic idioms.
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Learning to code isn't as hard as it sounds―you just have to get started! Coding for Kids: Python starts kids off right with 50 fun, interactive activities that teach them the basics of the Python programming language. From learning the essential building blocks of programming to creating their …
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You've got your basics in order – time to move on to some advanced and specialized concepts. Python is evolving every day, these books can help you master it.
This book is aimed at more experienced Python programmers who are looking to deepen their understanding of the language and modern programming idioms. Much of the material focuses on some of the more advanced techniques used by libraries, frameworks, and applications.
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