🐍 Python in 30 Days

Complete Study Guide

🎯 Goal

Go from zero to confident beginner Python programmer

⏰ Time

30–60 minutes per day

🛠️ Tools

Python 3, VS Code or Replit/Google Colab

👥 Ideal For

Beginners, professionals switching to Python

🟢 WEEK 1: Python Basics

1Setup & Hello World

Get started with Python installation and your first program
Install Python IDEs print()

2Variables & Data Types

Learn about different data types and how to store information
str int float bool type casting

3Math & Operators

Master mathematical operations and operator precedence
+ - * / % // ** precedence

4Strings

Work with text data and string manipulation
String methods f-strings indexing

5User Input

Make your programs interactive with user input
input() type conversion

6Lists

Store and manipulate collections of data
indexing slicing append() remove()

7Review & Mini Project

Apply your knowledge with a practical project
Calculator To-do list app

🟡 WEEK 2: Flow Control & Functions

8If/Else Statements

Make decisions in your code with conditional statements
if elif else logic

9Boolean Logic

Master logical operations and comparisons
and or not comparisons

10Loops (For)

Repeat actions efficiently with for loops
for loops range() lists

11Loops (While)

Control loop execution with while loops
while break continue

12Functions

Create reusable code blocks with functions
defining calling parameters

13Scope & Return Values

Understand variable scope and function returns
return local vars global vars

14Mini Project

Build an interactive game to practice your skills
Rock-paper-scissors Number guessing

🟠 WEEK 3: Data Structures & File Handling

15Dictionaries

Work with key-value pairs for data organization
Key-value pairs .get() .items()

16Tuples & Sets

Explore immutable data types and unique collections
Immutable types sets uniqueness

17Nested Structures

Combine data structures for complex data organization
Lists in dicts dicts in lists

18File I/O Basics

Read from and write to files
open() reading files writing files

19Error Handling

Handle errors gracefully in your programs
try except common errors

20Modules & Imports

Use external code and create your own modules
import math random custom modules

21Project

Build a practical application using your skills
Contact book Password generator

🔵 WEEK 4: Practical Applications & Next Steps

22List Comprehensions

Write concise code with list comprehensions
Shortcuts creating lists

23Lambda & Map/Filter

Use functional programming concepts
Anonymous functions map() filter()

24OOP Basics (Classes)

Introduction to object-oriented programming
class __init__ methods

25OOP Advanced

Advanced object-oriented programming concepts
Inheritance encapsulation

26Virtual Environments

Manage Python packages and dependencies
venv pip installing packages

27Popular Libraries

Explore commonly used Python libraries
requests datetime pandas

28APIs & JSON

Work with web APIs and JSON data
requests.get() JSON parsing

29Final Project

Choose and complete a comprehensive project
Quiz app Data scraper CLI tool

30Wrap-up & Next Steps

Plan your continued Python learning journey
Flask Django Data Science Machine Learning

✅ Tools & Resources

🏃‍♂️ Practice Sites

Replit Python Shell Exercism LeetCode

📝 Daily Blog Template

Structure for each day:
• What You'll Learn
• Concepts Explained
• Code Examples
• Practice Tasks
• Summary & Preview

🎯 Daily Challenges

Add optional "Try This" sections to reinforce learning and provide extra practice for motivated learners.