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

Summary

In this chapter, we discussed a variety of topics that require the use of advanced Python modules and libraries. We started by refreshing our knowledge about data containers in Python. Next, we learned how to use and build iterators for iterable objects. We also covered generators, which are more efficient and easier to build and use than iterators. We discussed how to open and read from files and how to write to files, followed by the use of a context manager with files. In the next topic, we discussed how to handle errors and exceptions in Python, how to raise exceptions through programming, and how to define custom exceptions. Exception handling is fundamental to any decent Python application. In the last section, we covered how to configure the logging framework in Python using different options for handlers and formatters.

After going through this chapter, you now know how to build your own iterators and design generator functions to iterate on any iterable object,...