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.
Integrating Python for Web Systems, Testing, and Packaging
Gain insight into a topic and learn the fundamentals.
6 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Unit Testing
- Web Scraping
- Debugging
- Back-End Web Development
- Web Services
- Hypertext Markup Language (HTML)
- Scripting
- Web Development
- Package and Software Management
- Web Development Tools
- Development Testing
- Cross Platform Development
- Server Side
- Web Applications
- Interoperability
- Performance Tuning
- Extensible Markup Language (XML)
Details to know
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Recently updated!
July 2025
Assessments
11 assignments
Taught in English
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There are 3 modules in this course
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
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
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
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