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.
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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Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectivel…
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Pythonâ??s simplicity lets you become productive quickly, but this often means you arenâ??t using everything it has to offer. With this hands-on guide, youâ??ll learn how to write effective, idiomatic Python code by leveraging its bestâ??and possibly most neglectedâ??features. Author Luciano Ram…
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Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching.
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Our book will help you understand some of the basic skills used daily by football analysts. For fans, this will likely be enough data science skills. For the aspiring football analyst, we hope that our book serves as a springboard for your dreams and lifelong learning. To help you learn, this bo…
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Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.
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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.
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 can quickly create and manage data structures, allowing you to analyze and manipulate complex data sets. Python also has a massive ecosystem of libraries and tools that can assist in processing data quickly and efficiently. It features simple syntax, making Python easier to learn and unde…
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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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Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Perfor…
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Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.
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Python Crash Course is a fast-paced, thorough introduction to programming with Python that will have you writing programs, solving problems, and making things that work in no time.
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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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