Overview

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Master Python through practical, case-study-based projects that help you apply programming concepts to real-world applications. In this course, you will design, implement, and validate three hands-on Python projects: a rule-based chatbot, a database-driven expense manager application, and a complete markup processing system with PDF generation. Each project is structured to strengthen your ability to solve authentic programming challenges while building confidence in Python development. You will begin by creating a chatbot with Python and NLTK, configuring the development environment, building reflection dictionaries and response pairs, and testing and refining chatbot behaviour. Next, you will develop an expense manager application using Python, HTML, SQL, and Bootstrap, implementing data handling, category management, visualization, and object-oriented enhancements. Finally, you will build an Instant Markup system by applying parsers, rules, filters, and handlers to transform raw text into structured documents, culminating in PDF generation and internet-based data processing. This course is ideal for learners who want to strengthen their Python programming skills through project-based learning. By the end of the course, you will be able to build intelligent chatbot applications, create database-powered Python apps, automate text processing workflows, and implement complete Python solutions using practical case studies that mirror real development scenarios.

Syllabus

Building a Rule-Based Chatbot

This module introduces learners to the foundations of chatbot development using Python and NLTK. It covers environment setup, the reflection dictionary, pairs, and validation methods to create a functional rule-based chatbot capable of handling real conversations.

Designing an Expense Manager App

This module focuses on designing and developing an expense manager app using Python, HTML, and SQL. Learners will build input forms, manage expense entries, and apply Bootstrap for user-friendly interfaces.

Enhancing the Expense Manager

This module extends the expense manager app with advanced category management, data visualization, and final refinements. Learners will implement IDs, build charts, query expenses, and refine Python class-based methods for efficient application design.

Instant Markup – Text Processing Foundations

This module introduces the Instant Markup project, where learners explore parsing, rules, filters, and handlers. It emphasizes text structuring and rule-based processing for automated document handling.

Advanced Markup and Final Implementation

This module finalizes the Instant Markup project by integrating scripts, preparing data, and generating outputs. Learners will apply rule scripts, implement the main program, and create final outputs including PDF generation and internet-based data gathering.