👨‍💻 FREE Resources to Learn & Practice Python

1. https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course
2. https://www.hackerrank.com/domains/python
3. https://www.hackerearth.com/practice/python/getting-started/numbers/practice-problems/
4. https://learnpython.org/
5. https://www.w3schools.com/python/python_exercises.asp
6. https://t.iss.one/pythonfreebootcamp/134
7. https://t.iss.one/pythonanalyst/26
8. https://pythonbasics.org/exercises/
9. https://t.iss.one/pythondevelopersindia/300
10. https://docs.python.org/3/

ENJOY LEARNING 👍👍

Software Engineer: C++ C# Java, Python, JavaScript

Web Dev: HTML, CSS, JavaScript, NodeJS

Game Dev: Unity, Unreal, Java

App Dev: Flutter, Objective C, Java, Swift, Kotlin, React

Cyber Security: Python, Linux, Networking

AI & Data Science - Julia, Haskell

Python Detailed Roadmap 🚀

📌 1. Basics
◼ Data Types & Variables
◼ Operators & Expressions
◼ Control Flow (if, loops)

📌 2. Functions & Modules
◼ Defining Functions
◼ Lambda Functions
◼ Importing & Creating Modules

📌 3. File Handling
◼ Reading & Writing Files
◼ Working with CSV & JSON

📌 4. Object-Oriented Programming (OOP)
◼ Classes & Objects
◼ Inheritance & Polymorphism
◼ Encapsulation

📌 5. Exception Handling
◼ Try-Except Blocks
◼ Custom Exceptions

📌 6. Advanced Python Concepts
◼ List & Dictionary Comprehensions
◼ Generators & Iterators
◼ Decorators

📌 7. Essential Libraries
◼ NumPy (Arrays & Computations)
◼ Pandas (Data Analysis)
◼ Matplotlib & Seaborn (Visualization)

📌 8. Web Development & APIs
◼ Web Scraping (BeautifulSoup, Scrapy)
◼ API Integration (Requests)
◼ Flask & Django (Backend Development)

📌 9. Automation & Scripting
◼ Automating Tasks with Python
◼ Working with Selenium & PyAutoGUI

📌 10. Data Science & Machine Learning
◼ Data Cleaning & Preprocessing
◼ Scikit-Learn (ML Algorithms)
◼ TensorFlow & PyTorch (Deep Learning)

📌 11. Projects
◼ Build Real-World Applications
◼ Showcase on GitHub

📌 12. ✅ Apply for Jobs
◼ Strengthen Resume & Portfolio
◼ Prepare for Technical Interviews

Like for more ❤️💪

Software Developers by country

It's impossible to stop

Python Cheatsheet 🚀

1️⃣ Variables & Data Types

x = 10 (Integer)

y = 3.14 (Float)

name = "Python" (String)

is_valid = True (Boolean)

items = [1, 2, 3] (List)

data = (1, 2, 3) (Tuple)

person = {"name": "Alice", "age": 25} (Dictionary)


2️⃣ Operators

Arithmetic: +, -, *, /, //, %, **

Comparison: ==, !=, >, <, >=, <=

Logical: and, or, not

Membership: in, not in


3️⃣ Control Flow

If-Else:

if age > 18:
print("Adult")
elif age == 18:
print("Just turned 18")
else:
print("Minor")

Loops:

for i in range(5):
print(i)
while x < 10:
x += 1


4️⃣ Functions

Defining & Calling:

def greet(name):
return f"Hello, {name}"
print(greet("Alice"))

Lambda Functions: add = lambda x, y: x + y


5️⃣ Lists & Dictionary Operations

Append: items.append(4)

Remove: items.remove(2)

List Comprehension: [x**2 for x in range(5)]

Dictionary Access: person["name"]


6️⃣ File Handling

Read File:

with open("file.txt", "r") as f:
content = f.read()

Write File:

with open("file.txt", "w") as f:
f.write("Hello, World!")


7️⃣ Exception Handling

try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("Done")

8️⃣ Modules & Packages

Importing:

import math
print(math.sqrt(25))

Creating a Module (mymodule.py):

def add(x, y):
return x + y

Usage: from mymodule import add


9️⃣ Object-Oriented Programming (OOP)

Defining a Class:

class Person:
def init(self, name, age):
self.name = name
self.age = age
def greet(self):
return f"Hello, my name is {self.name}"

Creating an Object: p = Person("Alice", 25)


🔟 Useful Libraries

NumPy: import numpy as np

Pandas: import pandas as pd

Matplotlib: import matplotlib.pyplot as plt

Requests: import requests

Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

ENJOY LEARNING 👍👍