Integrating Python for Web Systems, Testing, and Packaging

This course is part of Applied Python: Web Dev, Machine Learning & Cryptography Specialization

Instructor: EDUCBA

Access provided by N.S. International

3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

11 assignments

Taught in English

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This course is part of the Applied Python: Web Dev, Machine Learning & Cryptography Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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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 videosTotal 66 minutes

Using Tidy Part 16 minutes
Using Tidy Part 26 minutes
Tidy Libraries and HTML Parser Part 15 minutes
Tidy Libraries and HTML Parser Part 25 minutes
Beautiful Soup5 minutes
Web Pages and CGI10 minutes
Debugging with CGI Part 16 minutes
Debugging with CGI Part 27 minutes
CGI Handler and configuring Apache10 minutes

4 assignmentsTotal 60 minutes

Graded - Web Content Parsing and Preparation30 minutes
HTML Cleaning and Parsing10 minutes
Web Scraping and CGI Basics10 minutes
Debugging and Server Configuration10 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 videosTotal 76 minutes

Psp and The Publisher Part 16 minutes
Psp and The Publisher Part 26 minutes
RSS Feeds with Logo11 minutes
XML-RPC7 minutes
Intro to Testing with Logo11 minutes
Doctest with Logo9 minutes
Unittests9 minutes
Optimizing and Profiling Part 17 minutes
Optimizing and Profiling Part 26 minutes

4 assignmentsTotal 60 minutes

Graded - Server-Side Scripting and Integration30 minutes
Python Server Pages and Content Publishing10 minutes
Remote Services and Testing Basics10 minutes
Unit Testing and Performance Monitoring10 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.