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

Using the Python logging module

Logging is a fundamental requirement for any reasonably sized application. Logging not only helps in debugging and troubleshooting but also provides insight into details of an application's internal issues. A few advantages of logging are as follows:

  • Debugging code, especially to diagnose why and when an application failed or crashed
  • Diagnosing unusual application behavior
  • Providing auditing data for regulatory or legal compliance matters
  • Identifying users' behaviors and malicious attempts to access unauthorized resources

Before discussing any practical examples of logging, we will first discuss the key components of the logging system in Python.

Introducing core logging components

The following components are fundamental to set up logging for an application in Python:

  • Logger
  • Logging levels
  • Logging formatter
  • Logging handler

A high-level architecture of the Python logging system can...