*Python Learning Plan in 2025 🚀* |-- Week 1: Introduction to Python | |-- Python Basics | | |-- What is Python? | | |-- Installing Python | | |-- Introduction to IDEs (Jupyter, VS Code) | |-- Setting up Python Environment | | |-- Anaconda Setup | | |-- Virtual Environments | | |-- Basic Syntax and Data Types | |-- First Python Program | | |-- Writing and Running Python Scripts | | |-- Basic Input/Output | | |-- Simple Calculations | |-- Week 2: Core Python Concepts | |-- Control Structures | | |-- Conditional Statements (if, elif, else) | | |-- Loops (for, while) | | |-- Comprehensions | |-- Functions | | |-- Defining Functions | | |-- Function Arguments and Return Values | | |-- Lambda Functions | |-- Modules and Packages | | |-- Importing Modules | | |-- Standard Library Overview | | |-- Creating and Using Packages | |-- Week 3: Advanced Python Concepts | |-- Data Structures | | |-- Lists, Tuples, and Sets | | |-- Dictionaries | | |-- Collections Module | |-- File Handling | | |-- Reading and Writing Files | | |-- Working with CSV and JSON | | |-- Context Managers | |-- Error Handling | | |-- Exceptions | | |-- Try, Except, Finally | | |-- Custom Exceptions | |-- Week 4: Object-Oriented Programming | |-- OOP Basics | | |-- Classes and Objects | | |-- Attributes and Methods | | |-- Inheritance | |-- Advanced OOP | | |-- Polymorphism | | |-- Encapsulation | | |-- Magic Methods and Operator Overloading | |-- Design Patterns | | |-- Singleton | | |-- Factory | | |-- Observer | |-- Week 5: Python for Data Analysis | |-- NumPy | | |-- Arrays and Vectorization | | |-- Indexing and Slicing | | |-- Mathematical Operations | |-- Pandas | | |-- DataFrames and Series | | |-- Data Cleaning and Manipulation | | |-- Merging and Joining Data | |-- Matplotlib and Seaborn | | |-- Basic Plotting | | |-- Advanced Visualizations | | |-- Customizing Plots | |-- Week 6-8: Specialized Python Libraries | |-- Web Development | | |-- Flask Basics | | |-- Django Basics | |-- Data Science and Machine Learning | | |-- Scikit-Learn | | |-- TensorFlow and Keras | |-- Automation and Scripting | | |-- Automating Tasks with Python | | |-- Web Scraping with BeautifulSoup and Scrapy | |-- APIs and RESTful Services | | |-- Working with REST APIs | | |-- Building APIs with Flask/Django | |-- Week 9-11: Real-world Applications and Projects | |-- Capstone Project | | |-- Project Planning | | |-- Data Collection and Preparation | | |-- Building and Optimizing Models | | |-- Creating and Publishing Reports | |-- Case Studies | | |-- Business Use Cases | | |-- Industry-specific Solutions | |-- Integration with Other Tools | | |-- Python and SQL | | |-- Python and Excel | | |-- Python and Power BI | |-- Week 12: Post-Project Learning | |-- Python for Automation | | |-- Automating Daily Tasks | | |-- Scripting with Python | |-- Advanced Python Topics | | |-- Asyncio and Concurrency | | |-- Advanced Data Structures | |-- Continuing Education | | |-- Advanced Python Techniques | | |-- Community and Forums | | |-- Keeping Up with Updates | |-- Resources :- https://topperworld.in/python-tutorial-2/ Like this post for more resources like this 👍♥️ Hope it helps :)