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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

Accessing packages from any location

The package we built in the previous subsection is accessible only if the program calling the modules is at the same level as the package location. This requirement is not practical for code reusability and code sharing.

In this section, we will discuss a few techniques to make packages available and usable from any program on any location in our system.

Appending sys.path

This is a useful option for setting sys.path dynamically. Note that sys.path is a list of directories on which a Python interpreter searches every time it executes an import statement in a source program. By using this approach, we are appending (adding) paths of directories or folders containing our packages to sys.path.

For the masifutil package, we will build a new program, pkgmain3.py, which is a copy of pkgmain2.py (to be updated later) but is kept outside the folder where our masifutil package is residing. pkgmain3.py can be in any folder other than the mypackages...

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