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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

Loading and initializing a module

Whenever the Python interpreter interacts with an import or equivalent statement, it does three operations, which are described in the next sections.

Loading a module

The Python interpreter searches for the specified module on a sys.path (to be discussed in the Accessing packages from any location section) and loads the source code. This has been explained in the Learning how import works section.

Setting special variables

In this step, the Python interpreter defines a few special variables, such as __name__, which basically defines the namespace that a Python module is running in. The __name__ variable is one of the most important variables.

In the case of our example of the calcmain1.py, mycalculator.py, and myrandom.py modules, the __name__ variable will be set for each module as follows:

Table 2.1 – The __name__ attribute value for different modules

Table 2.1 – The __name__ attribute value for different modules

There are two cases of setting the __name__...

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