Developing and Deploying Web Applications with Python

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Developing and Deploying Web Applications with Python

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·2mo ago
This course provides a comprehensive, hands-on introduction to building dynamic and interactive web applications using Python. Designed for learners with a foundational understanding of Python, the course progressively explores key techniques used in professional web development and data communication over the internet. Beginning with GUI development using wxPython, learners construct interactive desktop interfaces and enhance applications through text editing and database integration. The course then applies Python's powerful networking capabilities, enabling learners to develop socket servers, demonstrate asynchronous programming with asyncio, and implement event-driven frameworks using Twisted. In the web data parsing segment, learners analyze and clean malformed HTML using Tidy, html.parser, and BeautifulSoup, then extract and transform content for further use. Through practical exercises, learners debug CGI scripts and configure Apache for dynamic content handling, preparing them for web server deployment. Finally, the course constructs web services by generating RSS feeds and invoking remote procedures via XML-RPC. By the end, learners will be able to design, deploy, and integrate Python web components and services confidently and effectively.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Why Enterprise Self-Service Analytics Still Struggles in 2026: Lessons from Data-Driven…
Learn why enterprise self-service analytics still struggles and how to improve it with data-driven lessons
Medium · Data Science
Finally got to try Databricks hands-on (and now I get the hype)
Learn how to leverage Databricks for data science tasks and understand its value proposition
Medium · Data Science
I Simulated 14,000 Drafts to See If 38–0 Is Possible
Simulate football drafts to determine the possibility of a 38-0 season using data science techniques
Medium · Data Science
I Simulated 14,000 Drafts to See If 38–0 Is Possible
Learn how to simulate large-scale experiments using programming to answer complex questions, like the possibility of a 38-0 football season
Medium · Programming
Up next
Resume Review for MERN, Java & Data Analytics | Real Resume Analysis & Job Tips 2026
CodeWithPrashant
Watch →