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Python for Geeks

Python for Geeks

By : Asif
4.5 (21)
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Python for Geeks

Python for Geeks

4.5 (21)
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

Building Python web services for cloud deployment

Building an application for cloud deployment is slightly different than doing so for a local deployment. There are three key requirements we must consider while developing and deploying an application to any cloud. These requirements are as follows:

  • Web interface: For most cloud deployments, applications that have a graphical user interface (GUI) or application programming interface (API) are the main candidates. Command-line interface-based applications will not get their usability from a cloud environment unless they are deployed in a dedicated virtual machine instance, and we can execute them on a VM instance using SSH or Telnet. This is why we selected a web interface-based application for our discussion.
  • Environment setup: All public cloud platforms support multiple languages, as well as different versions of a single language. For example, GCP App Engine supports Python versions 3.7, 3.8, and 3.9 as of June 2021. Sometimes...
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Python for Geeks
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