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

Learning about the cloud options for Python applications

Cloud computing is the ultimate frontier for programmers these days. In this section, we will investigate how we can develop Python applications using a cloud development environment or using a specific Software Development Kit (SDK) for cloud deployment, and then how we can execute the Python code in a cloud environment. We will also investigate options regarding data-intensive processing, such as Apache Spark on the cloud. We will start with the cloud-based development environments.

Introducing Python development environments for the cloud

When it comes to setting up a Python development environment for one of the three main public clouds, two types of models are available:

  • Cloud-native Integrated Development Environment (IDE)
  • Locally installed IDE with an integration option for the cloud

We will discuss these two modes next.

Cloud-native IDE

There are several cloud-native development environments...