Programming with Python
( 25 Modules )

Module #1
Introduction to Python
Overview of Python, its history, features, and applications

Module #2
Setting up Python
Downloading and installing Python, setting up the development environment

Module #3
Basic Syntax and Data Types
Variables, data types, basic operators, and control structures

Module #4
Strings and String Operations
String manipulation, indexing, slicing, and formatting

Module #5
Lists and Tuples
Creating and manipulating lists and tuples, indexing, slicing, and methods

Module #6
Dictionaries and Sets
Creating and manipulating dictionaries and sets, methods and operations

Module #7
Control Structures
If-else statements, for loops, while loops, and conditional statements

Module #8
Functions
Defining and calling functions, function arguments, and return values

Module #9
Modules and Packages
Importing modules, creating and using packages, and namespace

Module #10
File Input/Output
Reading and writing files, file modes, and exceptions

Module #11
Object-Oriented Programming
Classes, objects, inheritance, polymorphism, and encapsulation

Module #12
Error Handling and Debugging
Try-except blocks, error types, and debugging techniques

Module #13
Working with CSV and Excel Files
Reading and writing CSV and Excel files, and data manipulation

Module #14
Working with Databases
Connecting to databases, creating tables, and performing CRUD operations

Module #15
Web Development with Flask
Introduction to Flask, creating routes, and rendering templates

Module #16
Data Analysis with Pandas
Introduction to Pandas, data structures, and data manipulation

Module #17
Data Visualization with Matplotlib
Introduction to Matplotlib, creating plots, and customizing visualizations

Module #18
Working with APIs
Introduction to APIs, making requests, and parsing responses

Module #19
Regular Expressions
Pattern matching, regex syntax, and using regex in Python

Module #20
Advanced Topics in Python
Generators, iterators, decorators, and asynchronous programming

Module #21
Best Practices and Code Optimization
Code organization, coding standards, and performance optimization

Module #22
Testing and Debugging
Unit testing, integration testing, and debugging techniques

Module #23
Deployment and Packaging
Deploying Python applications, creating packages, and distribution

Module #24
Real-World Applications of Python
Python in data science, machine learning, web development, and more

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Programming with Python career

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