You'll Learn

Introduction to Python Programming

• Overview of Python and its features.
• Setting up a Python development environment (installation and configuration).
• Introduction to Python syntax, variables, data types, and basic operations.

Control Flow and Functions

• Understanding conditional statements (if, else, elif) and loops (for, while) in Python.
• Introduction to functions, parameters, and return values.
• Practicing with hands-on exercises and coding examples.

Data Structures

• Overview of commonly used data structures in Python (lists, tuples, dictionaries).
• Exploring operations and methods for data manipulation and retrieval.
• Working and processing variables and strings
• Hands-on exercises to practice working with data structures.

File Handling and Modules

• Reading from and writing to text and CSV files in Python.
• Merging and combining multiple data files
• Introduction to modules and libraries for extending Python's functionality.
• Demonstrating how to import and use external modules.

Troubleshooting and Error Handling

• Discussing common issues and errors in coding
• Exploring strategies for troubleshooting and resolving problems.
• Demonstrating error handling techniques in Python.

Introduction to GPT

• What is GPT? Understanding the basics of language models.
• Overview of GPT's architecture and training process.
• Exploring the capabilities and applications of GPT models.

Preparing Questions for ChatGPT

• Discussing strategies for preparing effective questions for ChatGPT.
• Understanding the importance of clear and concise input prompts.
• Exploring techniques for guiding the conversation and obtaining desired responses.

Leveraging ChatGPT for Code Generation

• Introduction to code generation using ChatGPT.
• Using ChatGPT to automate repetitive code writing tasks.
• Generating code snippets for specific programming languages.
• Best practices and considerations for using ChatGPT in code generation.

Formatting result output using format()

• Understanding the format() function for formatting strings in Python.
• Exploring different formatting options, such as placeholders, alignment, and precision.
• Applying formatting techniques to enhance the presentation of results.

Web Scraping using Beautiful Soup

• Introduction to web scraping and its applications.
• Overview of Beautiful Soup library for parsing HTML and XML documents.
• Hands-on exercises to extract data from web pages using Beautiful Soup.

Object-Oriented Programming (OOP)

• Introduction to the principles and concepts of object-oriented programming.
• Exploring classes, objects, attributes, and methods in Python.
• Implementing OOP concepts to create reusable and modular code.

Regular Expressions

• Introduction to regular expressions and their role in pattern matching.
• Understanding the syntax and metacharacters used in regular expressions.
• Applying regular expressions in Python for searching, matching, and manipulating text.