Integrating Python for Web Systems, Testing, and Packaging
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Integrating Python for Web Systems, Testing, and Packaging
This course is part of Applied Python: Web Dev, Machine Learning & Cryptography Specialization
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There are 3 modules in this course
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.
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.
What's included
9 videos4 assignments
9 videos•Total 66 minutes
- Using Tidy Part 1•7 minutes
- Using Tidy Part 2•7 minutes
- Tidy Libraries and HTML Parser Part 1•6 minutes
- Tidy Libraries and HTML Parser Part 2•6 minutes
- Beautiful Soup•6 minutes
- Web Pages and CGI•11 minutes
- Debugging with CGI Part 1•6 minutes
- Debugging with CGI Part 2•7 minutes
- CGI Handler and configuring Apache•10 minutes
4 assignments•Total 60 minutes
- HTML Cleaning and Parsing•10 minutes
- Web Scraping and CGI Basics•10 minutes
- Debugging and Server Configuration•10 minutes
- Graded - Web Content Parsing and Preparation•30 minutes
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.
What's included
9 videos4 assignments
9 videos•Total 76 minutes
- Psp and The Publisher Part 1•6 minutes
- Psp and The Publisher Part 2•6 minutes
- RSS Feeds with Logo•11 minutes
- XML-RPC•8 minutes
- Intro to Testing with Logo•12 minutes
- Doctest with Logo•9 minutes
- Unittests•9 minutes
- Optimizing and Profiling Part 1•8 minutes
- Optimizing and Profiling Part 2•6 minutes
4 assignments•Total 60 minutes
- Python Server Pages and Content Publishing•10 minutes
- Remote Services and Testing Basics•10 minutes
- Unit Testing and Performance Monitoring•10 minutes
- Graded - Server-Side Scripting and Integration•30 minutes
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.
What's included
6 videos3 assignments
6 videos•Total 55 minutes
- Jython and IronPython with Logo•11 minutes
- Writing C extension with Logo•11 minutes
- Palindrome with Logo•10 minutes
- Reference Counting•9 minutes
- Working with Distutils Part 1•7 minutes
- Working with Distutils Part 2•7 minutes
3 assignments•Total 50 minutes
- Cross-Platform Integration•10 minutes
- Memory Management and Distribution•10 minutes
- Graded - Advanced Python Interfacing and Packaging•30 minutes
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Reviewed on Jan 28, 2026
A powerful deep dive into server-side Python. PSP and XML-RPC integration were explained clearly and practically.
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