Top 10 Python Concepts
Variables & Data Types
Understand integers, floats, strings, booleans, lists, tuples, sets, and dictionaries.
Control Flow (if, else, elif)
Write logic-based programs using conditional statements.
Loops (for & while)
Automate tasks and iterate over data efficiently.
Functions
Build reusable code blocks with def, understand parameters, return values, and scope.
List Comprehensions
Create and transform lists concisely:
[x*2 for x in range(10) if x % 2 == 0]
Modules & Packages
Import built-in, third-party, or custom modules to structure your code.
Exception Handling
Handle errors using try, except, finally for robust programs.
Object-Oriented Programming (OOP)
Learn classes, objects, inheritance, encapsulation, and polymorphism.
File Handling
Open, read, write, and manage files using open(), read(), write().
Working with Libraries
Use powerful libraries like:
- NumPy for numerical operations
- Pandas for data analysis
- Matplotlib/Seaborn for visualization
- Requests for API calls
- JSON for data parsing
#python
Variables & Data Types
Understand integers, floats, strings, booleans, lists, tuples, sets, and dictionaries.
Control Flow (if, else, elif)
Write logic-based programs using conditional statements.
Loops (for & while)
Automate tasks and iterate over data efficiently.
Functions
Build reusable code blocks with def, understand parameters, return values, and scope.
List Comprehensions
Create and transform lists concisely:
[x*2 for x in range(10) if x % 2 == 0]
Modules & Packages
Import built-in, third-party, or custom modules to structure your code.
Exception Handling
Handle errors using try, except, finally for robust programs.
Object-Oriented Programming (OOP)
Learn classes, objects, inheritance, encapsulation, and polymorphism.
File Handling
Open, read, write, and manage files using open(), read(), write().
Working with Libraries
Use powerful libraries like:
- NumPy for numerical operations
- Pandas for data analysis
- Matplotlib/Seaborn for visualization
- Requests for API calls
- JSON for data parsing
#python
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