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At present, Python is one of the most powerful and beginner-friendly programming languages in the IT world. With an estimated 8 to 9 million developers worldwide and growing, its popularity remains unmatched. What makes Python particularly attractive to beginners is its simple, readable syntax and dynamic typing, which significantly ease the learning curve. Additionally, Python plays a crucial role in powering modern technologies such as Artificial Intelligence, Machine Learning, Data Science, and Big Data. Whether you’re planning to build websites, automate tasks, analyze data, or explore AI, Python is an ideal starting point. It can open the door to countless career opportunities and lay the foundation for a successful future in tech.
This 21-day Python course is made to help you learn Python from the very beginning and get really good at it. Becoming a true expert in just 21 days is a big goal, and it usually takes more time and practice. But if you follow this course every day and keep practicing, you will learn a lot and build a strong base in Python. The course includes both easy and advanced topics, so by the end, you’ll be much better at coding in Python.
Here is the plan for the “Learn Python in 21 Days: From Beginner to Pro” course:
DAY | TOPIC | Description |
---|---|---|
1 | Getting Started with Python | Install Python, IDEs, write first "Hello World" |
2 | Variables & Data Types | int, float, str, bool, type casting |
3 | Operators | Arithmetic, logical, comparison, assignment |
4 | Strings - Manipulation and Methods | Common string methods (len(), upper(), lower(), find(), replace(), join()), slicing, formatting |
5 | Input and Output | input(), print(), f-strings |
6 | Control Flow - Conditional Statements | if, elif, else, nested conditions |
7 | Practice + Quiz | Recap with questions and simple problems |
DAY | TOPIC | Description |
---|---|---|
8 | Control Flow - Loops | for , while , range() , loop control |
9 | Lists - The Versatile Sequence | Create, access, update, Common list methods (append() , insert() , remove() , reverse() , count() ). |
10 | Tuples and Sets | Immutable data types, set operations |
11 | Dictionaries - Key-Value Pairs | Key-value pairs, dictionary methods (keys() , values() , items() , get() ). |
12 | Functions - Building Reusable Code | Defining, calling, parameters, return values |
13 | Lambda & Built-in Functions | lambda , map() , filter() , zip() |
14 | Mini Project 1 | CLI To-Do App / Contact Book |
DAY | TOPIC | Description |
---|---|---|
15 | File I/O - Reading and Writing Files | open() , read() , write() , file modes |
16 | Error Handling (Try-Except) | try-except , finally , handling errors |
17 | Object-Oriented Programming (OOP) - Classes and Objects | Classes, objects, methods, __init__(), self keyword |
18 | OOP - Inheritance and Polymorphism & Encapsulation | OOP principles, class inheritance , super() function |
19 | Modules and Packages | import , custom modules, Python libraries |
20 | Final CLI Project | Build a calculator/quiz/task tracker with functions |
21 | What’s Next? | Career roadmap, interview prep, learning path |
Day | Topic | Description |
---|---|---|
1 | Introduction & Setup | Install Python, IDEs, write first 'Hello World' |
2 | Variables & Data Types | int, float, str, bool, type casting |
3 | Operators | Arithmetic, logical, comparison, assignment |
4 | Strings | String methods, slicing, formatting |
5 | Input and Output | input(), print(), f-strings |
6 | Conditional Statements | if, elif, else, nested conditions |
7 | Practice + Quiz | Recap with questions and simple problems |
Day | Topic | Description |
---|---|---|
8 | Loops | for, while, range(), loop control |
9 | Lists | Create, access, update, list methods |
10 | Tuples and Sets | Immutable data types, set operations |
11 | Dictionaries | Key-value pairs, dictionary methods |
12 | Functions | Defining, calling, parameters, return values |
13 | Lambda & Built-in Functions | lambda, map(), filter(), zip() |
14 | Mini Project 1 | CLI To-Do App / Contact Book |
Day | Topic | Description |
---|---|---|
15 | File Handling | open(), read(), write(), file modes |
16 | Exception Handling | try-except, finally, handling errors |
17 | Object-Oriented Programming | Classes, objects, methods, __init__() |
18 | Inheritance & Encapsulation | OOP principles, class inheritance |
19 | Modules & Packages | import, custom modules, Python libraries |
20 | Final CLI Project | Build a calculator/quiz/task tracker with functions |
21 | What’s Next? | Career roadmap, interview prep, learning path |