Introduction to Python:
An overview of Python, its history, and its relevance in the world of programming.
Python Basics:
Learning the fundamentals of Python, including variables, data types, and basic operations.
Writing and running Python code.
Control Structures:
Understanding control structures, such as if statements, loops, and functions.
Writing conditional and iterative code.
Data Structures:
Working with data structures like lists, dictionaries, and tuples.
Storing and manipulating data in Python.
Functions and Modules:
Creating and using functions to modularize code.
Organizing code into modules for reusability.
Object-Oriented Programming (OOP):
Introduction to object-oriented programming concepts in Python.
Creating classes, objects, and methods.
File Handling:
Reading from and writing to files using Python.
File input/output operations.
Error Handling:
Techniques for handling and raising exceptions in Python.
Debugging and troubleshooting code.
Web Development with Python:
Introduction to web development using Python, including frameworks like Flask and Django.
Building web applications and APIs.
Database Access with Python:
Connecting to databases using Python libraries and modules.
Retrieving, updating, and managing data in databases.
Data Analysis and Visualization:
Using Python for data analysis, including libraries like NumPy and Pandas.
Creating data visualizations with libraries like Matplotlib and Seaborn.
Working with APIs:
Interacting with web APIs using Python.
Consuming and producing API data.
Real-World Projects:
Hands-on programming projects and assignments applying Python skills to practical scenarios.