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

Chapter 11: Using Python for Microservices Development

Monolithic applications that are built as a single-tiered software have been a popular option for developing applications for many years. However, it is not efficient to deploy monolithic applications in cloud platforms in terms of reserving and utilizing resources. This is even true for the deployment of large-scale monolithic applications on physical machines. The maintenance and development costs of such applications are always high. Multi-tier applications have solved this problem to some extent for web applications by breaking the applications down into several tiers.

To meet dynamic resource demands and to reduce development/maintenance costs, the real savior is a microservices architecture. This new architecture encourages applications to be built on loosely coupled services and deployed on dynamically scalable platforms such as containers. Organizations such as Amazon, Netflix, and Facebook have already moved from a...