Python Programming

Welcome to the Python Programming Course! This comprehensive course is designed to guide learners from the basics of Python to more advanced topics, preparing them to build and analyze real-world projects.

This comprehensive course offers a solid foundation in computer programming using the versatile Python language. You'll learn fundamental programming concepts, algorithms, and best practices, leveraging Python's extensive standard library to create efficient and robust solutions. Through hands-on exercises and real-world projects, you'll develop the skills to design, implement, debug, and troubleshoot Python programs.

By the end of the course, you'll be equipped to write clear, concise, and efficient code and apply problem-solving techniques to real-world scenarios. Whether you're a beginner or looking to expand your programming skills, this course will empower you to become a proficient Python programmer.

Below is an overview of the weekly topics.

Course Outline

Week 1: Introduction to Python

• Overview of Python
• Setting up Python environment
• Writing your first Python program

Week 2: Python Built-in Data Structures

• Lists, Tuples, and Dictionaries
• Sets and Strings
• Operations and Manipulation

Week 3: Control Flows & Functions in Python

• Conditional Statements (if, else, elif)
• Loops (for, while)
• Defining and using functions

Week 4: File Handling and Exception Handling

• Reading and writing files
• Handling exceptions with try, except, finally
• Working with different file types (text, CSV)

Week 5: Object-Oriented Programming (OOP)

• Classes and Objects
• Inheritance and Polymorphism
• Encapsulation and Abstraction

Week 6: Python Libraries

• Introduction to popular Python libraries (e.g., NumPy, Pandas, Matplotlib)
• How to install and use libraries
• Creating simple scripts with libraries

Week 7: Basic Data Analysis

• Loading data with Pandas
• Data cleaning and manipulation
• Data visualization with Matplotlib and Seaborn

Week 8: Final Project

• Integrating all the concepts learned
• Building a project of your choice
• Presenting and discussing your project

The Grand Finale 🏆

• A final review of the course
• Tips and best practices for Python programming
• Next steps and further learning opportunities

Getting Started

1. Clone this repository using:

   git clone <repository-url>

2. Navigate to the project directory:

   cd <project-directory>

3. Install the necessary dependencies:

   pip install -r requirements.txt

Prerequisites

• Basic understanding of programming concepts (optional but helpful)
• Python 3.x installed on your system

Contact

For any questions, feedback, or suggestions, please reach out.