Here are our top ten recommendations if you are looking for the best books to read in Python Programming. We have made sure our list is diverse to cater to the interests of different types of readers.
1. Python Crash Course, 2Nd Edition: A Hands-On, Project-Based Introduction To Programming
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- Author: Eric Matthes
- Publisher: No Starch Press; 2nd edition (May 3, 2019)
- Genre: Computers & Technology, Programming
- ISBN: 978-1593279288
- Dimensions: 7.06 x 1.22 x 9.25 inches
2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and Tensor Flow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the Tensor Flow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.
- Author: Aurélien Géron
- Publisher: O'Reilly Media; 2nd edition (October 15, 2019)
- Genre: Computers & Technology, Computer Science
- ISBN: 978-1492032649
- Dimensions: 7 x 1.2 x 9.2 inches
3. Python Programming Language
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 concisely cover the planning of a program written in Python, assigning your first variables, importing other libraries, formatting output strings, and creating classes. Beginning students or seasoned programmers will find this tool a perfect go-to for reference to those core concepts. This unbeatable value makes it easy to add this reference to your programmer’s toolbox. 6 page laminated guide includes: Working with Python Using Python Code Importing Modules Scope (Indentation) Naming Conventions Reserved Keywords Comments Writing Code Basics Making Variables Types Console Error Handling Saving & Loading Files Coding Structures Math Operators (int, float & complex) List Operations (list, tuple & dict) Strings Statements Functions Dictionaries Using Structures String Formatting String Methods Escape Sequences Bool Characters Writing Boolean Statements Recursion & Iteration Classes Coding Concepts Inheritance Generators Polymorphism Lambda Expressions
- Author: Berajah Jayne
- Publisher: QuickStudy Reference Guides; First Edition, New (May 1, 2019)
- Genre: Computers & Technology, Programming Languages
- ISBN: 978-1423241881
- Dimensions: 8.5 x 0.06 x 11 inches
4. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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 effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupiter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupiter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas group by facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples.
- Author: Wes McKinney
- Publisher: O'Reilly Media; 2nd edition (October 31, 2017)
- Genre: Computers & Technology, Databases & Big Data
- ISBN: 978-1491957660
- Dimensions: 7 x 1.3 x 9.1 inches
5. Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
Summary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion , a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book 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. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io . Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors.
- Author: Aditya Bhargava
- Publisher: Manning Publications; 1st edition (May 1, 2016)
- Genre: Computers & Technology, Computer Science
- ISBN: 978-1617292231
- Dimensions: 7.38 x 0.4 x 9.25 inches
6. Learning Python, 5th Edition
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
- Author: Mark Lutz
- Publisher: O'Reilly Media; Fifth edition (July 16, 2013)
- Genre: Computers & Technology, Programming
- ISBN: 978-1449355739
- Dimensions: 7 x 2.8 x 9.19 inches
7. Python for Everybody: Exploring Data in Python 3
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. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software. This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".
- Author: Charles Severance
- Genre: Kindle Store, Kindle eBooks, Computers & Technology
8. Coding for Kids: Python: Learn to Code with 50 Awesome Games and Activities
Games and activities that teach kids ages 10+ to code with Python 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 very own games, kids will progress through unique lessons packed with helpful examples―and a little silliness! Kids will follow along by starting to code (and debug their code) step by step, seeing the results of their coding in real time. Activities at the end of each chapter help test their new knowledge by combining multiple concepts. For young programmers who really want to show off their creativity, there are extra tricky challenges to tackle after each chapter. All kids need to get started is a computer and this book. This beginner’s guide to Python for kids includes: 50 Innovative exercises ―Coding concepts come to life with game-based exercises for creating code blocks, drawing pictures using a prewritten module, and more. Easy-to-follow guidance ―New coders will be supported by thorough instructions, sample code, and explanations of new programming terms. Engaging visual lessons ―Colorful illustrations and screenshots for reference help capture kids’ interest and keep lessons clear and simple. Encourage kids to think independently and have fun learning an amazing new skill with this coding book for kids.
- Author: Adrienne Tacke
- Publisher: Rockridge Press (March 19, 2019)
- Genre: Children's Books, Computers & Technology
- ISBN: 978-1641521758
- Dimensions: 7.5 x 0.64 x 9.25 inches
9. The Self-Taught Programmer: The Definitive Guide to Programming Professionally
I am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer II at eBay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn't learned yet. My journey learning to program, and my experience at my first job as a software engineer were the inspiration for this book. This book is not just about learning to program; although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, I also cover the rest of the things you need to know to program professionally that classes and books don't teach you. "The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into five sections: 1. Learn to program in Python 3 and build your first program. 2. Learn Object-oriented programming and create a powerful Python program to get you hooked. 3. Learn to use tools like Git, Bash, and regular expressions. Then use your new coding skills to build a web scraper. 4. Study Computer Science fundamentals like data structures and algorithms. 5. Finish with best coding practices, tips for working with a team, and advice on landing a programming job. You CAN learn to program professionally. The path is there. Will you take it?
- Author: Cory Althoff
- Publisher: Self-Taught Media (January 24, 2017)
- Genre: Computers & Technology, Programming
- ISBN: 978-0999685907
- Dimensions: 7.5 x 0.68 x 9.25 inches
10. Black Hat Python, 2nd Edition: Python Programming for Hackers and Pentesters
Fully-updated for Python 3, the second edition of this worldwide bestseller (over 100,000 copies sold) explores the stealthier side of programming and brings you all new strategies for your hacking projects. When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. In this second edition of the bestselling Black Hat Python , you’ll explore the darker side of Python’s capabilities: everything from writing network sniffers, stealing email credentials, and bruteforcing directories to crafting mutation fuzzers, investigating virtual machines, and creating stealthy trojans. All of the code in this edition has been updated to Python 3. x . You’ll also find new coverage of bit shifting, code hygiene, and offensive forensics with the Volatility Framework as well as expanded explanations of the Python libraries ctypes, struct, lxml, and BeautifulSoup, and offensive hacking strategies like splitting bytes, leveraging computer vision libraries, and scraping websites. You’ll even learn how to: • Create a trojan command-and-control server using GitHub • Detect sandboxing and automate common malware tasks like keylogging and screenshotting • Extend the Burp Suite web-hacking tool • Escalate Windows privileges with creative process control • Use offensive memory forensics tricks to retrieve password hashes and find vulnerabilities on a virtual machine • Abuse Windows COM automation • Exfiltrate data from a network undetected When it comes to offensive security, you need to be able to create powerful tools on the fly. Learn how with Black Hat Python .
- Author: Justin Seitz
- Publisher: No Starch Press; 2nd edition (April 14, 2021)
- Genre: Computers & Technology, Networking & Cloud Computing
- ISBN: 978-1718501126
- Dimensions: 7 x 0.48 x 9.25 inches