Learn Python in 30 Days – Complete Course Plan - Master Python in 2026
In this complete course “Learn Python in 30 Days” you will learn Python from the beginning. We will start from the fundamentals of Python and teach you what Python is, set up Python and write Hello World code. This is a day wise day course where we teach new topics each day and you will have a whole day to practice the topic. You will be able to master Python in just 30 days.
By the end of this course you will be able to use Python for real-world application development. You will be able to search and apply for the various Python related jobs in the market.
In 30 days you will master Python programming language and start learning AI/ML or searching jobs. This course is for beginners, students and professional who want to learn Python for professional development.
Here is a day wise course for Learning Python in 30 Days.
Week 1: Python Fundamentals (Foundations)
Day 1: Introduction to Python
- What is Python?
- Why learn Python in 2026?
- Python use cases & career paths
- Installing Python & setting up IDE
Day 2: Python Syntax & First Program
- Python syntax rules
- print() function
- Comments & indentation
- Writing your first Python program
Day 3: Variables & Data Types
- Variables in Python
- Numeric, string, boolean types
- Type conversion
- type() function
Day 4: Python Operators
- Arithmetic operators
- Relational & logical operators
- Assignment operators
- Operator precedence
Day 5: Conditional Statements
- if, elif, else
- Nested conditions
- Real-world examples
Day 6: Loops in Python
- for loop
- while loop
- break, continue, pass
Day 7: Practice Day + Mini Project
- Logic building exercises
- Simple number guessing game
- Quiz & recap
Week 2: Core Python Concepts
Day 8: Strings in Python
- String creation & indexing
- String methods
- Formatting strings
Day 9: Lists & Tuples
- List operations & methods
- Tuples vs lists
- Real-world examples
Day 10: Sets & Dictionaries
- Set operations
- Dictionary keys & values
- Use cases in real applications
Day 11: Functions in Python
- Defining functions
- Parameters & return values
- Default & keyword arguments
Day 12: Lambda Functions & Built-in Functions
- Lambda expressions
- map(), filter(), reduce()
- Practical examples
Day 13: Modules & Packages
- Importing modules
- Python standard library
- Creating custom modules
Day 14: Practice Day + Mini Project
- Contact book using dictionaries
- Weekly assessment
Week 3: Advanced Basics & OOP
Day 15: File Handling
- Reading & writing files
- File modes
- Real-world file operations
Day 16: Exception Handling
- try, except, else, finally
- Custom exceptions
- Best practices
Day 17: Object-Oriented Programming (OOP) – Basics
- Classes & objects
- Constructors
- Instance variables
Day 18: OOP – Advanced Concepts
- Inheritance
- Polymorphism
- Encapsulation & abstraction
Day 19: Python Collections Deep Dive
- List comprehension
- Dictionary comprehension
- Generator expressions
Day 20: Date, Time & Math Modules
- datetime
- time
- math & random
Day 21: Practice Day + Mini Project
- Student management system (OOP based)
- Code review & optimization
Week 4: Real-World Python & Career Path
Day 22: Virtual Environment & Pip
- What is venv?
- Installing packages with pip
- Managing dependencies
Day 23: Working with APIs
- What is an API?
- requests library
- Fetching real-time data
Day 24: Regular Expressions
- Regex basics
- Pattern matching
- Data validation use cases
Day 25: Introduction to Data Analysis
0- NumPy basics
- Pandas introduction
- Simple data operations
Day 26: Python for Automation
- Automating files & folders
- Email automation
- Scheduling tasks
Day 27: Python for Web Development
- Introduction to Flask/Django
- Creating a simple web app
Day 28: Python for AI & Data Science
1- Python in AI/ML
- Libraries overview
- Career roadmap
Day 29: Final Project
- Build a real-world Python application
- Apply all learned concepts
Day 30: Revision + Career Guidance
- Interview questions
- Resume tips
- Next learning paths (DS, AI, Web)
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