This module delves into the core networking and asynchronous capabilities of Python. Learners will begin with foundational networking concepts using built-in modules such as socket and urllib, progressing through server creation, file transmission, and data extraction tasks. Emphasis is placed on understanding how to build network-aware applications that can handle multiple client connections. The second half of the module introduces asynchronous programming using asyncio and the powerful Twisted framework. It explores concurrency models, event-driven architectures, Deferred objects, and reactor loops to help learners build non-blocking, high-performance network applications.

This module focuses on techniques for extracting, cleaning, and presenting web content using Python. It begins by exploring how to parse and clean up messy HTML using tools like Tidy and built-in parsing libraries. Learners are introduced to HTML structure, parsers, and methods to transform poorly-formed markup into valid, structured documents. The module then transitions into advanced data extraction using Beautiful Soup and covers server-side web programming concepts with CGI scripting. Learners will write and debug Python CGI scripts, understand HTTP headers, and interact with web forms, laying a strong foundation for building web-aware applications.

This module focuses on the deployment of Python-based web applications and the implementation of basic web services. It introduces learners to configuring Apache web server for CGI scripting, leveraging Python Server Pages (PSP) and the Webware Publisher for dynamic content generation. The module also covers syndication of web content using RSS feeds and remote method invocation via XML-RPC, enabling the creation of modular, distributed applications. By the end of this module, learners will understand how to serve, automate, and expose Python functionality over the web using standard protocols and deployment techniques.