Python

Python

Getting Started & Fundamentals

Introduction to Python: Why Python? Installation (Anaconda/VS Code) and environment setup.
Your First Code: Print statements, comments, and the Python Interpreter.
Variables & Data Types: Integers, Floats, Strings, and Booleans.
Input/Output: Taking user input and basic string formatting.

Control Flow & Logic

Comparison Operators: Mastering ==, !=, <, >.
Conditional Statements: if, elif, and else logic.
Loops: for loops (iterating through sequences) and while loops (condition-based).
Loop Control: Using break, continue, and pass.

Data Structures (The Core of Python)

- Lists: Slicing, indexing, and list methods.
- Tuples: Understanding immutability and use cases.
- Dictionaries: Key-value pairs and mapping data.
- Sets: Handling unique elements and set operations.

Functions & Functional Programming

Defining Functions: def keyword, arguments, and return values.
Scope: Local vs. Global variables.
Lambda Functions: Writing anonymous, one-liner functions.
Modules & Packages: Using import to use math, random, and datetime libraries.

Object-Oriented Programming (OOP)

Classes & Objects: Creating your own blueprints.
Methods & Attributes: Defining behavior and storing data within objects.
Inheritance: How to build subclasses and reuse code.
Encapsulation & Polymorphism: Advanced concepts for clean code.

File Handling & Exception Management

Reading/Writing Files: Working with .txt and .csv files.
Error Handling: Using try, except, and finally to prevent crashes.
Debugging: Common Python errors and how to fix them.

Introduction to Data Science Libraries

NumPy: Basics of high-performance arrays.
Pandas: Introduction to DataFrames and data manipulation.
Matplotlib: Creating basic line graphs, bar charts, and scatter plots.