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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 serverless computing and FaaS, followed by an analysis of the main ingredients of serverless functions. Next, we discussed the key benefits of serverless functions and their pitfalls. Additionally, we analyzed several deployment options that are available to build and deploy serverless functions, and these options include AWS Lambda, Azure Functions, Google Cloud Functions, Oracle Fn, and IBM Cloud Functions. In the final part of this chapter, we built a simple Google Cloud Function based on an HTTP trigger using the GCP Console. Then, we built a notification app based on Google storage events and a Google Cloud Function using the Cloud SDK. These serverless functions were deployed using the Google Cloud Functions platform.

The code examples included in this chapter should provide you with some experience of how to use both the GCP Console and the Cloud SDK to build and deploy Cloud Functions. This hands-on knowledge is beneficial for anyone...

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