Welcome to the "Master Python in 7 Days" challenge! This guide will help you conquer your coding fears by breaking down Python programming into manageable chunks, covered day by day. Each day focuses on specific topics to build your knowledge and confidence.
| Day | Topics Covered |
|---|---|
| Day 1 | - Introduction to Python - Installation of Python - Writing Your First Python Program - Python Basics (Syntax, Variables, Data Types) |
| Day 2 | - Control Structures (If-Else, Loops) - Functions (Built-in, User-defined) - Lambda Functions |
| Day 3 | - Data Structures (Lists, Tuples, Sets, Dictionaries) - List and Dictionary Comprehensions |
| Day 4 | - File Handling - Modules and Packages - Exception Handling |
| Day 5 | - Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism) |
| Day 6 | - Advanced Topics (Decorators, Generators, Context Managers) - Working with APIs |
| Day 7 | - Testing and Debugging - Final Project: Build a Small Application |
- Why Python?: Easy to learn, large community, high demand
- Installation: Steps to install Python on Windows and macOS
- First Code: Writing and running "Hello World"
- Basics: Variables, Data Types, and simple operations
- If-Else Statements: Conditional logic
- Loops: For and While loops
- Functions: Defining and calling functions, Lambda functions
- Lists: Creation, manipulation, comprehensions
- Tuples: Immutable sequences
- Sets: Unique collections
- Dictionaries: Key-value pairs
- File Handling: Reading and writing files
- Modules: Importing and creating modules
- Exception Handling: Try, Except, Finally
- Classes and Objects: Defining and instantiating
- Inheritance: Single and multiple inheritance
- Polymorphism: Overriding methods
- Decorators: Enhancing functions
- Generators: Iterators with yield
- Context Managers: Managing resources with
with - APIs: Making HTTP requests
- Testing: Writing test cases
- Debugging: Common debugging techniques
- Final Project: Build a small application integrating the learned concepts
Each day includes practical examples and exercises to reinforce learning. By the end of the week, you will have a solid foundation in Python programming and the confidence to tackle more complex projects. Happy coding!
Notes