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: Practical Programming for Total Beginners, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation.
Free Python Books
Learn to use the Python language to create programs of all kinds. Author Jason Cannon will guide you from complete unfamiliarity with Python to creating practical applications. With Python Succinctly, lack of experience isn’t an obstacle to programming language mastery.
This book is an introduction to computer programming, using the Python programming language. The core Python language (both versions 2.x and 3.x) is discussed.
Read the free online version of Python Cookbook, 3rd Edition: Recipes for Mastering Python 3, by David Beazley and Brian K. Jones, on O’Reilly Atlas.
“Porting to Python 3: An in-depth guide” is available online for free. This book guides you through the process of porting your Python 2 code to Python 3, from choosing a porting strategy to solving your distribution issues.
“Problem Solving with Algorithms and Data Structures Using Python”, by Brad Miller and David Ranum, is an interactive book which you can access online.
“Become a Code Breaker with Python: A beginner’s guide to cryptography and computer programming with Python” describes several encryption programs for various ciphers, along with how to write programs that can break these ciphers.
“Start Here: Python Programming for Beginners” is a book for the total beginner who is interested in programming. It teaches the new programmer from ground zero through hands-on exercises.
The complete draft version of up-comming O’Reilly Media book “Programming Computer Vision with Python” by Jan Erik Solem. You can download it in pdf format. If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start.