Book Image

Python for Geeks

By : Muhammad Asif
Book Image

Python for Geeks

By: Muhammad 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)
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

Section 2: Advanced Programming Concepts

We continue our journey by learning the advanced concepts of the Python language in this section. This includes a refresher of some concepts for you with an introduction to advanced subjects such as iterators, generators, errors, and exception handling. This will help you to move to the next level of programming in Python. In addition to writing Python programs, we also explore how to write and automate unit tests and integration tests using test frameworks such as unittest and pytest. In the last part of this section, we discuss some advanced function concepts for data transformation and building decorators in Python, and how to use data structures including pandas DataFrames for analytics applications.

This section contains the following chapters:

  • Chapter 4, Python Libraries for Advanced Programming
  • Chapter 5, Testing and Automation with Python
  • Chapter 6, Advanced Tips and Tricks in Python