• Title: Automate the Boring Stuff with Python: Practical Programming for Total Beginners
• Author(s) Al Sweigart
• Publisher: No Starch Press; 1 edition (May 1, 2015); eBook (Creative Commons Licensed)
• License(s): CC BY-NC-SA 3.0
• Paperback: 504 pages
• eBook: HTML and Video Lectures
• Language: English
• ISBN-10: 1593275994
• ISBN-13: 978-1593275990
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Book Description

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 this, 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 to:

• Search for text in a file or across multiple files
• Create, update, move, and rename files and folders
• Search the Web and download online content
• Update and format data in Excel spreadsheets of any size
• Split, merge, watermark, and encrypt PDFs
• Send reminder emails and text notifications
• Fill out online forms
• Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work.

• Al Sweigart (Albert Sweigart) is a software developer and teaches programming to kids and adults. He has written several Python books for beginners, including Hacking Secret Ciphers with Python, Invent Your Own Computer Games with Python, and Making Games with Python and Pygame.

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• Python Programming
• Computer Programming
• Computer and Programming Languages

• Automate the Boring Stuff with Python: Practical Programming for Total Beginners (Al Sweigart)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - ePub
• Video Lectures (YouTube)

• Introduction to Computer Programming with Python (Harris Wang)

  This introduction to computer programming with Python begins with some of the basics of computing and programming before diving into the fundamental elements and building blocks of computer programs in Python language.

• Beyond the Basic Stuff with Python: Writing Clean Code

  More than a mere collection of advanced syntax and masterful tips for writing clean code, advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control.

• Python for Everybody: Exploring Data in Python 3

  This book 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.

• O'Reilly® Think Python, 2nd Edition (Allen B. Downey)

  This hands-on guide takes you through the Python programming language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. 2nd edition updated for Python 3.

• Fundamentals of Python Programming (Richard L. Halterman)

  It focuses on introducing programming techniques and developing good habits. To that end, our approach avoids some of the more esoteric features of Python and concentrates on the programming basics that transfer directly to other imperative programming.

• Problem Solving with Algorithms/Data Structures using Python

  This is a textbook about computer science. It is also about Python. However, there is much more. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.

• O'Reilly® Python Data Science Handbook: Essential Tools

  Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.

• Modeling and Simulation in Python (Allen B. Downey)

  This book is an introduction to physical modeling using a computational approach with Python. You will learn how to use Python to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; etc.

• Architecture Patterns with Python (Harry Percival, et al.)

  Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices, it introduces proven architectural design patterns to help Python developers manage application complexity, and get the most value out of their test suites.