Integrating Python for Web Systems, Testing, and Packaging

Overview

This course is designed to guide learners through the complete pipeline of Python-based web application development, from structured document parsing to cross-platform deployment and performance tuning. Through three progressively advanced modules, learners will apply, construct, and evaluate server-side scripting techniques, Python-based integration tools, and distribution mechanisms. In Module 1, learners will explore the foundations of web content parsing, using libraries such as Tidy and Beautiful Soup, and will demonstrate the creation and debugging of CGI-based web applications. In Module 2, learners will construct dynamic server-side components using Python Server Pages (PSP), implement XML-RPC communication, and validate their applications with testing tools like doctest and unittest, followed by evaluating performance using profiling tools. In Module 3, learners will demonstrate integration with external platforms like Java and .NET through Jython and IronPython, analyze memory management using reference counting, and construct Python packages using distutils for scalable application deployment. This hands-on, project-based course enables learners to not only build web solutions but also optimize and package them efficiently for diverse environments.

Syllabus

Web Content Parsing and Preparation

This module introduces learners to foundational techniques in parsing and preparing web content using Python. It begins with cleaning malformed HTML using the Tidy library and progresses into parsing structured data with HTML parsers. Learners then explore advanced parsing with Beautiful Soup and apply these techniques to build dynamic content through CGI scripting. The module concludes by guiding learners through CGI debugging practices and configuring servers for CGI-based execution using Apache. By the end, learners will have the practical ability to clean, parse, serve, and debug web-based data pipelines in Python.

Server-Side Scripting and Integration

This module introduces learners to the foundational techniques of dynamic web application development using Python. Through hands-on exploration of Python Server Pages (PSP), RSS generation, remote communication protocols like XML-RPC, and structured testing frameworks such as doctest and unittest, learners will gain the ability to build, test, and optimize server-side applications. The module also explores methods for enhancing performance using profiling tools, ensuring efficiency and reliability in deployed systems.

Advanced Python Interfacing and Packaging

This module explores advanced integration and extension techniques in Python, focusing on cross-platform compatibility, performance optimization, and distribution workflows. Learners will understand how to integrate Python with other runtimes like Java and .NET using Jython and IronPython, extend Python with C for computational efficiency, and apply concepts such as reference counting for memory management. The module concludes with practical strategies for packaging and distributing Python modules using the distutils library.