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Getting Started with Python: 17 Books to Read

Friends, bookmark this selection of 17 Python books — they will help you master the programming language from scratch or with minimal knowledge.

Ready to start learning Python? Then let’s begin!

Learning Python

If You Are New to Coding

If you’re not switching to Python from another programming language, but starting from scratch, first understand basic development concepts. To read technical literature in English, improve your language level. These books will help:

Computer Programming for Beginners: Fundamentals of Programming Terms and Concepts by Nathan Clark

Beginners can easily drown in professional concepts. This book will help you understand the most basic terminology, i.e. what are functions, functional and object-oriented programming, how to structure and deploy a program, how to store, manage and exchange data, etc.

English for Information Technology by Pearson Longman

Even if you are fluent in English, professional terminology can be confusing — spend time googling. This textbook with audiobooks and interactive dictionaries will help you improve your grammar and vocabulary with technical terms.

Basic English for Computing by Oxford

This is a training course that will help you improve your grammar skills and expand your vocabulary with technical terms. The trick of this book is that it contains texts and diagrams for a better understanding of the material, a dictionary of modern computing terms, and abbreviations and symbols.

If You Have Some Experience in Coding

Start learning this programming language if you have mastered theoretical foundations — understand the terms and principles of the language. To do this, study these books:

Hello World. Entertaining programming by Carter Sand & Warren Sand

This is a simple book for an introduction to Python. The author explains the basic terms and features of the language in an accessible language. The publication is mainly theoretical, from practice to guidelines for creating elementary programs.

Programming in Python by Michael Dawson

An experienced developer and trainer explains the basic principles of development using examples of creating simple games. After each chapter, the author offers a draft of the game, a summary of the material covered, and tasks for consolidation. After reading, you will master the basic Python development skills and learn how to put them into practice.

When You Are Ready to Apply Python Concepts

When you understand the theoretical foundations, your go-to books are those with practice, i.e. real code examples, tasks, and guides for the development of simple projects.

Learning Python by Marz Lutz

The author describes the main types of objects in Python, the order of their creation and further work with them. He goes into great detail about the main procedural element of the language — functions. After each chapter, he gives control questions to consolidate the material, and after each part, readers can complete practical exercises.

Programming in Python by Mark Lutz

As another work by Mark Lutz, this book is a guide to using Python in a variety of areas — system administration, web application development, and graphical user interfaces. The author explains how to work with databases, program networking, and create interfaces for scripts and other tasks.

Python — to the Heights of Mastery by Luciano Ramalho

This is a book by developer Luciano Ramalho for those who have already learned how to write in Python, but still do not know how to use all of its features. The author talks about the basic tools and libraries of the language and gives illustrative examples of how to make Python code shorter, clearer, and faster.

Python Programming: A Step By Step Guide For Beginners by Brian Jenkins

This is a step-by-step guide for beginners who want to learn a programming language from scratch. The author explains the basic syntax, teaches you to work with data types, variables, classes and objects, and handle files and exceptions.

Python Programming: The Basic, Blackhat, Intermediary and Advanced Guide to Python Programming by Richard Ozer

This book is a complete four-part Python guide. Beginners should study the first part of the book. The author simply and clearly talks about the mechanisms of Python, how to understand the basics of the language, and how to write your first program.

Python Programming Illustrated For Beginners & Intermediates: “Learn By Doing” Approach — Step By Step Ultimate Guide To Mastering Python: The Future Is Here by William Sullivan

This is a step-by-step guide to help you learn and practice Python. The author teaches how to run the first program, and describes variables, data types, identifiers, and other useful information.

Python in Practice by Mark Summerfield

This is a book for beginners who have already mastered the Python language and want to program better. The author explains how to use programming patterns to improve code, parallelize and compile programs, explains the principles of high-level network programming and graphics.

Continuing the Study: Python Books by Destinations

Python can be used to solve many problems — working with websites and web applications, machine learning, etc. Decide in which direction you want to develop, and start with specialized literature.

GIS Applications – Development of Geo applications in Python by Eric Vestra

The author tells in detail how to write Geo applications. You will learn how to access and visualize geodata, read and write data in vector and raster formats, store and access data, and perform geospatial calculations in Python.

Website Scraping — Website Scraping with Python by Ryan Mitchell

This is a guide on how to use Python scripts and web APIs to collect and process data from thousands of sites. It will be of interest to programmers and web administrators who want to study the work of web scrapers, master the analysis of raw data, and test the interface. The author also gives practical examples on how to scrape websites like dll-hub.com

An Introduction to Machine Learning with Python. A Guide for Data Scientists by Andreas Müller & Sara Guido

This is a beginner’s book. The authors explain how to build machine learning systems, explain in detail the stages of work using Python and the scikit-learn, NumPy, and matplotlib libraries.

Django. Detailed Guide by Adrian Holovaty by Jacob Kaplan-Moss

The book is about Django — a framework for developing web applications in Python. The authors talk about the components of the framework and methods of working with it and give examples of their use in different projects.

Developing Web Applications Using Flask in Python by Miguel Greenberg

The author teaches how to work with the popular Flask framework and gives a step-by-step guide on how to create a social blogging application. Learn the capabilities of the framework and learn to extend applications with additional technologies. 

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