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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

Integrating with event-driven systems

In the previous sections, we discussed how to interact with network devices and network management systems using the request-response model. In this model, a client sends a request to a server and the server sends a response as a reply to the request. The HTTP (REST API) and SSH protocols are based on a request-response-based model. This model works well for configuring a system or getting the operational state of the network on an ad hoc basis or periodically. But what about if something happens in the network that requires the operation team's attention? For example, let's say a hardware failure on a device or a line cable has been cut. Network devices typically raise alarms in such situations, and these alarms have to reach the operator (via an email, an SMS, or a dashboard) immediately.

We can use the request-response model to poll the network device every second (or every few seconds) to check if there has been any change in...

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