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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

Understanding advanced concepts with data structures

Python offers comprehensive support for data structures, including key tools for storing data and accessing data for processing and retrieving. In Chapter 4, Python Libraries for Advanced Programming, we discussed the data structure objects that are available in Python. In this section, we will cover a number of advanced concepts such as a dictionary within a dictionary and how to use comprehension with a data structure. We will start by embedding a dictionary inside a dictionary.

Embedding a dictionary inside a dictionary

A dictionary in a dictionary or a nested dictionary is the process of putting a dictionary inside another dictionary. A nested dictionary is useful in many real-world examples, particularly when you are processing and transforming data from one format into the other.

Figure 6.1 shows a nested dictionary. The root dictionary has two dictionaries against key 1 and key 3. The dictionary against key 1 has...

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