Python Crash Course

Python from zero to hero

List of projects to choose to practice during course:

Beginner-Level Python Projects

1. Basic Calculator

2. Unit Converter

3. Simple To-Do List

4. Number Guessing Game

5. Password Generator

Intermediate-Level Python Projects

6. Weather App

7. Quiz Application

8. Tic-Tac-Toe Game

9. Simple Chatbot

10. Expense Tracker

Advanced-Level Python Projects

11. Real-Time Stock Price Tracker

12. Image Recognition with OpenCV

13. Sentiment Analysis on Tweets

14. Multiplayer Online Game

15. AI-Powered Recommendation System

Python Course Outline

Introduction to Python (8 Lectures)

Objective of the Python Course

The objective of this Python course is to provide students with comprehensive knowledge and practical skills in Python programming, from beginner to advanced levels. By the end of the course, students will be able to:

1. Understand Python's syntax and structure, enabling them to write and execute Python programs independently.

2. Use fundamental programming constructs such as variables, data types, control structures, and loops effectively.

3. Work with basic data structures like lists, tuples, dictionaries, and strings for problem-solving.

4. Develop modular programs using functions and leverage built-in Python modules for various applications.

5. Handle files and perform basic data storage and retrieval tasks.

6. Debug and handle errors in Python programs confidently.

Lecture 1: Introduction to Python

• Overview of Python and its applications

• Setting up Python and an IDE

• Writing and running your first Python script

• Python syntax, comments, and indentation

Lecture 2: Variables, Data Types, and Input/Output

• Variables and constants

• Basic data types (int, float, string, bool)

• User input (input() function)

• Typecasting

Lecture 3: Operators and Control Flow

• Arithmetic, comparison, logical, and assignment operators

• Conditional statements (if, elif, else)

• Loops (for, while)

Lecture 4: Functions and Modules

• Defining and calling functions

• Function parameters and return values

• Importing and using built-in modules (e.g., math, random)

Lecture 5: Data Structures: Lists and Tuples

• Lists: Creating, accessing, and modifying elements

• Tuples: Defining and using immutable data structures

• Iterating through lists and tuples

Lecture 6: Strings and Dictionaries

• String operations (slicing, concatenation, methods)

• Dictionaries: Creating, accessing, and modifying key-value pairs

• Iterating through dictionaries

Lecture 7: File Handling

• Reading from and writing to files

• Working with text and CSV files

• File modes (r, w, a)

Lecture 8: Error Handling and Debugging

• Understanding exceptions

• Using try, except, finally

• Debugging basics and best practices