"Master Python Programming Essentials"
Welcome to the Python learning journey! This repository provides structured lessons from basic to advanced Python. Perfect for beginners to build a strong foundation.
- Introduction to Python 🐍
Learn Python fundamentals. - Taking Input 📝
How to take input from users and programs. - Python Syntax 📜
Understand basic rules for writing clean Python code. - User-Defined Functions 🛠️
Create reusable code blocks with functions.
- Data Types 🔢
Learn aboutint
,float
,complex
,string
,boolean
. - Typecasting 🔄
Convert data types (e.g.,int
tofloat
). - Modifying Data Types 🛠️
Practice manipulating data types in programs.
- Operators ➕➖✖️
Arithmetic, relational, logical, membership, and bitwise operators.
Explore how they work with numbers and strings.
- Strings 📝
Master string manipulation with indexing, slicing, and essential functions likecapitalize()
,find()
,replace()
,split()
,join()
,strip()
, andupper()
.
- Lists 📋
Learn about indexing, slicing, and functions likeappend()
,pop()
,remove()
,sort()
. - Tuples 🔗
Explore immutable sequences, indexing, and key functions likemin()
,max()
.
- Sets 🔗
Work with unique, unordered collections and operations likeadd()
,union()
,intersection()
,difference()
.
- Dictionaries 🔑
Manage key-value pairs with functions likeget()
,setdefault()
,items()
,keys()
,pop()
,update()
.
-
Iterables vs Non-Iterables: Understand the difference between objects that can be looped over and those that cannot.
-
zip()
: Combine multiple iterables into tuples. -
range()
: Generate a sequence of numbers for loops. -
enumerate()
: Access both index and value during iteration. -
Conditional Statements: Use
if
,elif
, andelse
for decision-making. -
isinstance()
: Check an object's type. -
Error Handling: Use
try
andexcept
to manage exceptions likeValueError
.
- Clone the repository:
git clone https://github.com/Akshen22/Beginner-to-Advance-Python-Notes.git
- Navigate to the project directory:
cd Beginner-to-Advance-Python-Notes
- Start with Day 1 using Jupyter Notebook!
Licensed under the MIT License.
Happy Coding! 🎉