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Python for Geeks

Python for Geeks

By : Asif
4.5 (20)
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Python for Geeks

Python for Geeks

4.5 (20)
By: Asif

Overview of this book

Python is a multipurpose language that can be used for multiple use cases. 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 the design and implementation point of view. Next, you'll understand the life cycle 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 use clusters in private 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.
Table of Contents (20 chapters)
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1
Section 1: Python, beyond the Basics
5
Section 2: Advanced Programming Concepts
9
Section 3: Scaling beyond a Single Thread
13
Section 4: Using Python for Web, Cloud, and Network Use Cases

Building packages

There are a number of techniques and tools available for creating and distributing packages. The truth is that Python does not have a great history of standardizing the packaging process. There have been multiple projects started in the first decade of the 21st century to streamline this process but not with a lot of success. In the last decade, we have had some success, thanks to the initiatives of the Python Packaging Authority (PyPA).

In this section, we will be covering techniques of building packages, accessing the packages in our program, and publishing and sharing the packages as per the guidelines provided by PyPA.

We will start with package names, followed by the use of an initialization file, and then jump into building a sample package.

Naming

Package names should follow the same rule for naming as for modules, which is lowercase with no underscores. Packages act like structured modules.

Package initialization file

A package can have an...

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