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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

Learning how to build serverless functions

In this section, we will investigate how to build serverless functions for one of the public cloud providers. Although Amazon AWS pioneered serverless functions in 2014 by offering AWS Lambda functions, we will use the Google Cloud Functions platform for our example functions. The reason for this is that we already introduced GCP in great detail in previous chapters, and you can leverage the same GCP account for the deployment of these example functions. However, we strongly recommend that you use the other platforms, especially if you are planning to use their serverless functions in the future. The core principles of building and deploying these functions on various cloud platforms are the same.

GCP Cloud Functions offers several ways in which to develop and deploy serverless functions (going forward, we will call them Cloud Functions in the context of GCP). We will explore two types of events in our example Cloud Functions, which can...

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