Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
20 Python Libraries You Aren't Using (But Should)
Top Free Machine Learning Books 🌠 - 100% Free or Open Source!
  • Title: 20 Python Libraries You Aren't Using (But Should)
  • Author(s) Caleb Hattingh
  • Publisher: O'Reilly Media, Inc. (2016)
  • Hardcover/Paperback: N/A
  • eBook: HTML, PDF, ePub, and Mobi (Kindle)
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: 978-1491967928
  • Share This:  

Book Description

The Python ecosystem is vast and far-reaching in both scope and depth. Starting out in this crazy, open-source forest is daunting, and even with years of experience, it still requires continual effort to keep up-to-date with the best libraries and techniques. This report helps you explore some of the lesser known Python libraries and tools, including third-party modules and several extremely useful tools in the standard library that deserve more attention.

What makes this collection different from other lists online? Author Caleb Hattingh diligently spent time finding and testing hidden gems that fit several criteria: easy to install and use, cross-platform, applicable to more than one domain, and not yet popular but likely to become so soon. You will likely discover at least a couple of cool libraries that will assist you in your everyday Python activities, no matter your specialization.

  • Little-known standard library modules: collections, contextlib, concurrent.futures, logging, and sched
  • Flit for simplifying the process of submitting a Python package to the Python Package Index (PyPI)
  • Colorama and begins for making your command-line applications friendlier for users
  • Pyqtgraph and pywebview for creating graphical user interfaces (GUIs)
  • Watchdog, psutil, and ptpython for working closely with the operating system
  • Hug for exposing APIs for other users' programs to consume
  • Arrow and parsedatetime for working with dates and times
  • Third-party general-purpose libraries: Boltons, Cython, and the awesome-python curated list
About the Authors
  • N/A
Reviews, Rating, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • The Hitchhiker's Guide to Python: Best Practices for Development

    This guide describes best practices currently used by package and application developers. Unlike other books for this audience, It is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

  • O'Reilly® Python Cookbook, 3rd Ed: Recipes for Mastering Python 3

    This book is packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.

  • O'Reilly® Python Web Frameworks (Carlos De La Guardia)

    This book describes Python web frameworks ranging from full-stack options that offer a lot of functionality to micro frameworks that focus on simplicity with fewer features. Learn how to choose a framework that best fits your development needs.

  • How to Make Mistakes in Python? (Mike Pirnat)

    Even the best programmers make mistakes. Some have been simple and silly; others were embarrassing and downright costly. The author dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.

  • 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.

  • O'Reilly® Test-Driven Development with Python (Harry Percival)

    By taking you through the development of a real web application from beginning to end, this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You'll learn how to write and run tests BEFORE building your apps.

  • 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.

  • Python Design Patterns (Brandon Rhodes)

    Understand the structural, creational, and behavioral Python design patterns - this book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems using Python.

Book Categories
:
Other Categories
Resources and Links