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.
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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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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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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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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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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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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These books are not required for you to learn Python, but they are highly recommended for you to deepen your knowledge.
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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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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Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast? This book is for you. You no longer have to waste your time and money learning Python from …
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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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Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll lear…
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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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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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