An overview of Python, its history, and its
relevance in the world of programming.
Learning the fundamentals of Python,
including variables, data types, and basic operations.
Writing and running Python code.
Understanding control structures, such as
if statements, loops, and functions.
Writing conditional and iterative code.
Working with data structures like lists,
dictionaries, and tuples.
Storing and manipulating data in Python.
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.
Reading from and writing to files using
Python.
File input/output operations.
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.
Interacting with web APIs using Python.
Consuming and producing API data.
Hands-on programming projects and
assignments applying Python skills to practical scenarios.
Certification: Upon successful completion of the course,
participants will receive a certificate demonstrating their proficiency in
Python programming.