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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

Preface

Python is a multipurpose language that can be used for solving any medium to complex problems in several fields. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks.

You'll start by exploring the different ways of using Python optimally, both from a design and implementation point of view. Next, you'll understand the lifecycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also using clusters in a private environment as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book.

By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects.

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