technifyed

EDUCBA via Coursera

Developing and Deploying Web Applications with Python

Overview

Develop practical Python web development skills as you learn to create, connect, parse, publish, and deploy applications. Designed for learners with foundational Python knowledge, this course provides a structured path through GUI development, networking, web data processing, asynchronous programming, and deployment.

You’ll build interactive applications with wxPython, apply layouts and event handling, enhance GUI-based text editors, and add database support for persistent data. You’ll use socket, urllib, and file modules to create network-aware applications, transfer data, and support multiple client connections. With asyncio and the Twisted framework, you’ll develop non-blocking, event-driven applications using concurrency models, Deferred objects, and reactor loops.

You’ll also clean and parse HTML with Tidy and Python parsing libraries, extract web data with Beautiful Soup, and create server-side applications with CGI scripts, HTTP headers, and web forms. Finally, you’ll configure Apache for CGI, deploy dynamic content with Python Server Pages and Webware Publisher, generate RSS feeds, and enable remote communication through XML-RPC.

What makes this course distinctive is its hands-on progression from desktop interfaces and networking to web publishing and Python application deployment. Enroll to build practical, connected Python applications and confidently publish Python-powered services on the web.

Syllabus 4

  1. GUI and File Handling with wxPython 2.5 hours

    This module introduces learners to the fundamentals of building graphical user interfaces (GUIs) using the wxPython framework in Python. It begins with the installation and basic usage of wxPython components and progresses to constructing interactive GUI programs. The module emphasizes hands-on dev…

  2. Networking and Asynchronous Programming 2 hours

    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 u…

  3. Web Data Parsing and Publishing 2 hours

    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-…

  4. Web Application Deployment and Web Services 2 hours

    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 a…

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Covers niche tools that universities don't teach.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.
  • Many courses are produced quickly from slides and screen recordings; read the reviews first.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • EDUCBA

EDUCBA is in Tier 5: mass-produced or unclear of our institution ranking (36/100). Thousands of courses, mostly slides and screen recordings.

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Harvard University · YouTube

CS50's Web Programming with Python and JavaScript (CS50W) 2020

This is CS50W, CS50's Web Programming with Python and JavaScript. Register for free at https://cs50.edx.org/web. Slides and source code at https://cs50.harvard.edu/web. This course picks up where Harvard University’s CS50 leaves off, diving more deeply into the design and implementation of web apps…

Free video10 videos, 14 hours

Harvard University · YouTube

CS50's Web Programming with Python and JavaScript

Learning objectives This course picks up where Harvard University's CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Flask, Django, and Bootstrap. Topics include database design, scalability, security, and user…

Free video13 videos, 20 hours

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Enter your email and the official page opens. Phone is optional.