Programming courses
Python-1
Beginner's Guide to Python Programming
Python-1
Curriculum Outline
- Session 1: Introduction to Python
- What is Python?
- Installing the necessary tools (Python, editors like VSCode or PyCharm)
- Writing your first program: "Hello, World!"
- Practical Exercise: Create a program to print your name.
- Session 2: Data Types and Variables
- Basics of numeric, string, and list types.
- How to use variables.
- Operators (+, -, *, /, etc.).
- Practical Exercise: Create a simple calculator program.
- Session 3: Conditional Statements
- Using if statements.
- Comparison and logical operators.
- Practical Exercise: Write a program to check if the entered age indicates adulthood.
- Session 4: Loops
- Basics of for and while loops.
- Examples of using loops.
- Practical Exercise: Create a program to calculate the sum of numbers from 1 to 100.
- Session 5: Functions
- Defining and calling functions.
- Understanding arguments and return values.
- Practical Exercise: Write a function to multiply two numbers.
- Session 6: Lists and Dictionaries
- Basic operations with lists (adding, removing, searching).
- Working with dictionaries.
- Practical Exercise: Create a program to manage a shopping list.
- Session 7: File Operations
- Reading and writing text files.
- Practical Exercise: Create a simple notepad program.
- Session 8: Modules and Libraries
- Using standard libraries (e.g., math, random).
- Installing external libraries with pip.
- Practical Exercise: Write a program to simulate rolling dice.
- Session 9: Error Handling
- Using try-except for error handling.
- Practical Exercise: Write a program to validate numeric input.
- Session 10: Simple Game Development
- Create a game to guess a random number.
- Practical Exercise: Improve the game by adding more complexity.
- Session 11: Classes and Object-Oriented Programming
- Defining classes and creating instances.
- Practical Exercise: Write a program to manage personal information.
- Session 12: Recap and Next Steps
- Review of previous exercises.
- Introducing fields where Python can be applied (web development, data analysis, AI, etc.).
- Practical Exercise: Combine previous exercises to create an original program.