• Title A Byte of Python
• Author(s) Swaroop C H
• Publisher: Lulu.com (October 1, 2008)
• License(s): CC BY-NC-SA 2.0 and The 3-Clause BSD License (Source Code)
• Hardcover/Paperback 159 pages
• eBook HTML, PDF, and ePub
• Language: English
• ISBN-10/ASIN: B00FJ7S2JU
• ISBN-13: N/A
• Share This:  

Book Description

This is a free book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience. If all you know about computers is how to save text files, then this is the book for you. This book is written for the latest Python 3, even though Python 2 is the commonly found version of Python today (read more about it in Python 2 versus 3 section).

• Swaroop C H is 26 years of age (2013). He graduated in B.E. (Computer Science) from PESIT, Bangalore, India. He has previously worked at Yahoo! and Adobe. He is currently involved in his co-founded startup called IONLAB.

• Amazon

• Python Programming
• Computer Programming

• A Byte of Python (Swaroop C H)
• The Mirror Site (1) - PDF, ePub, and Source Code
• The Mirror Site (2) - PDF, ePub, Mobi
• The Mirror Site (3) - HTML

• 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 Packages (Tomas Beuzen, et al.)

  An open source book that describes modern and efficient workflows for creating Python packages. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating.

• Deep Learning with Python, 2nd Edition (Francois Chollet)

  This book introduces the field of deep learning using Python and the powerful Keras library. It offers insights for both novice and experienced machine learning practitioners, and builds your understanding through intuitive explanations and practical examples.

• 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.

• Clean Architectures in Python: Better Software Design

  The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing.

• Automate the Boring Stuff with Python (Albert Sweigart)

  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. You'll create Python programs that effortlessly perform useful and impressive feats of automation.

• 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.

• 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.

• 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.

• 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.

• The Big Book of Small Python Projects: 81 Easy Practice Programs

  This book demonstrates how to combine different libraries and frameworks to build amazing things. It picks up where the complete beginner books leave off, expanding on existing concepts and introducing new tools that you'll use every day.