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Python for Geeks

You're reading from   Python for Geeks Build production-ready applications using advanced Python concepts and industry best practices

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801070119
Length 546 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Muhammad Asif
Author Profile Icon Muhammad Asif
Muhammad Asif
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Python, beyond the Basics
2. Chapter 1: Optimal Python Development Life Cycle FREE CHAPTER 3. Chapter 2: Using Modularization to Handle Complex Projects 4. Chapter 3: Advanced Object-Oriented Python Programming 5. Section 2: Advanced Programming Concepts
6. Chapter 4: Python Libraries for Advanced Programming 7. Chapter 5: Testing and Automation with Python 8. Chapter 6: Advanced Tips and Tricks in Python 9. Section 3: Scaling beyond a Single Thread
10. Chapter 7: Multiprocessing, Multithreading, and Asynchronous Programming 11. Chapter 8: Scaling out Python Using Clusters 12. Chapter 9: Python Programming for the Cloud 13. Section 4: Using Python for Web, Cloud, and Network Use Cases
14. Chapter 10: Using Python for Web Development and REST API 15. Chapter 11: Using Python for Microservices Development 16. Chapter 12: Building Serverless Functions using Python 17. Chapter 13: Python and Machine Learning 18. Chapter 14: Using Python for Network Automation 19. Other Books You May Enjoy

Introduction to modules and packages

Modules in Python are Python files with a .py extension. In reality, they are a way to organize functions, classes, and variables using one or more Python files such that they are easy to manage, reuse across the different modules, and extend as the programs become complex.

A Python package is the next level of modular programming. A package is like a folder for organizing multiple modules or sub-packages, which is fundamental for sharing the modules for reusability.

Python source files that use only the standard libraries are easy to share and easy to distribute using email, GitHub, and shared drives, with the only caveat being that there should be Python version compatibility. But this sharing approach will not scale for projects that have a decent number of files and have dependencies on third-party libraries and may be developed for a specific version of Python. To rescue the situation, building and sharing packages is a must for efficient...

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