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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

Summary

In this chapter, we introduced some advanced tricks that are important when you want to write efficient and concise programs in Python. We started with advanced functions such as the mapper, reducer, and filter functions. We also discussed several advanced concepts of functions, such as inner functions, lambda functions, and decorators. This was followed by a discussion of how to use data structures, including nested dictionaries and comprehensions. Finally, we reviewed the fundamental operations of a DataFrame object, and then we evaluated a few use cases using some advanced operations of the DataFrame object.

This chapter mainly focused on hands-on knowledge and experience of how to use advanced concepts in Python. This is important for anyone who wants to develop Python applications, especially for data analysis. The code examples provided in this chapter are very helpful for you to begin learning the advanced tricks that are available for functions, data structures...

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