What You Will Learn

This course covers Python programming from the basics to advanced topics. You will explore different modules that build your knowledge step by step.

• Introduction to Python: Understand what Python is, its features, and how to install it. Learn to run Python programs and understand its syntax.
• Variables and Data Types: Learn about variables, naming conventions, and different data types such as numbers, strings, and booleans. Practice input and output functions.
• Operators: Explore various operators like arithmetic, logical, and comparison operators. Understand how to use them in your code.
• Control Flow: Learn how to control the flow of your program using if, elif, and else. Understand loops and how to use break and continue.
• Strings: Discover how to create and manipulate strings. Learn string methods and formatting techniques.
• Collections: Gain skills in working with lists, tuples, sets, and dictionaries. Understand methods specific to each collection type.
• Functions: Learn how to define and use functions. Explore parameters, return values, and the concept of scope.
• Modules and Packages: Understand how to import and create modules. Learn about the standard library.
• Exception Handling: Learn how to handle errors using try and except statements.
• File Handling: Practice reading and writing files. Understand how to work with CSV files.
• Object-Oriented Programming: Learn about classes, objects, inheritance, and encapsulation.
• Advanced Python: Explore iterators, decorators, and context managers. Understand regular expressions and date/time handling.
• Database Connectivity: Get introduced to SQL and learn how to connect to databases using Python.
• Python Libraries: Familiarize yourself with popular libraries like NumPy, Pandas, and Matplotlib.
• Web Development: Learn the basics of web development using Flask and how to build APIs.
• Automation and Scripting: Understand how to automate tasks and perform web scraping.
• Data Science & Machine Learning Basics: Get an introduction to data analysis and machine learning concepts.
• Final Projects: Apply your knowledge through practical projects like a Student Management System and a Weather App.

Throughout the course, you will engage in quizzes, coding assignments, and mini projects to reinforce your learning.