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Complete Python Roadmap (Divided into 30 Modules) 🔥💻

Categories Modules
Core Concepts 🌟 Introduction and Basics of Python
Operators
Conditional Statements
While Loops
Lists
Strings
Control Flow 🌐 For Loops
Functions
Dictionary
Tuples
Set
Data Structures 🏗️ Data Structures
Higher-Order Functions
Object-Oriented Programming 🧬 Object-Oriented Programming
File Handling and Modules 📁 File Handling
Exception Handling
Regular Expression
Modules and Packages
Web Development 🌐 Virtual Environment
Web Application Project
Version Control and Deployment 🚀 Git and GitHub
Deployment
Data Analysis and Visualization 📊 Python Package Manager
Python with MongoDB Database
Building API
Statistics with NumPy
Data Analysis with Pandas
Data Visualization with Matplotlib
Extras What to do Now?

Core Concepts

1. Introduction and Basics of Python

  • Installation
  • Python Org, Python 3
  • Variables
  • Print function
  • Input from user
  • Data Types
  • Type Conversion
  • First Program

2. Operators

  • Arithmetic Operators
  • Relational Operators
  • Bitwise Operators
  • Logical Operators
  • Assignment Operators
  • Compound Operators
  • Membership Operators
  • Identity Operators

3. Conditional Statements

  • If Else
  • If
  • Else
  • El If (else if)
  • If Else Ternary Expression

4. While Loops

  • While loop logic building
  • Series based Questions
  • Break
  • Continue
  • Nested While Loops
  • Pattern-Based Questions
  • pass
  • Loop else

5. Lists

  • List Basics
  • List Operations
  • List Comprehensions / Slicing
  • List Methods

6. Strings

  • String Basics
  • String Literals
  • String Operations
  • String Comprehensions / Slicing
  • String Methods

Control Flow

7. For Loops

  • Range function
  • For loop
  • Nested for Loops
  • Pattern-Based Questions
  • Break
  • Continue
  • Pass
  • Loop else

8. Functions

  • Definition
  • Call
  • Function Arguments
  • Default Arguments
  • Docstrings
  • Scope
  • Special functions Lambda, Map, and Filter
  • Recursion
  • Functional Programming and Reference Functions

9. Dictionary

  • Dictionaries Basics
  • Operations
  • Comprehensions
  • Dictionaries Methods

10. Tuples

  • Tuples Basics
  • Tuples Comprehensions / Slicing
  • Tuple Functions
  • Tuple Methods

11. Set

  • Sets Basics
  • Sets Operations
  • Union
  • Intersection
  • Difference and Symmetric Difference

Data Structures

17. Data Structures

  • Stack
  • Queue
  • Linked Lists
  • Sorting
  • Searching
    • Linear Search
    • Binary Search

18. Higher-Order Functions

  • Function as a parameter
  • Function as a return value
  • Closures
  • Decorators
  • Map, Filter, Reduce Functions

Object-Oriented Programming

12. Object-Oriented Programming

  • Classes
  • Objects
  • Method Calls
  • Inheritance and Its Types
  • Overloading
  • Overriding
  • Data Hiding
  • Operator Overloading

File Handling and Modules

13. File Handling

  • File Basics
  • Opening Files
  • Reading Files
  • Writing Files
  • Editing Files
  • Working with different extensions of file
  • With Statements

14. Exception Handling

  • Common Exceptions
  • Exception Handling
    • Try
    • Except
    • Try except else
    • Finally
    • Raising exceptions
    • Assertion

15. Regular Expression

  • Basic RE functions
  • Patterns
  • Meta Characters

16. Modules and Packages

  • Different types of modules
  • Inbuilt modules
    • OS
    • Sys
    • Statistics
    • Math
    • String
    • Random
  • Create your own module
  • Building Packages

Web Development

20. Virtual Environment

  • Virtual Environment Setup

21. Web Application Project

  • Flask
  • Project Structure
  • Routes
  • Templates
  • Navigations

Version Control and Deployment

22. Git and GitHub

  • Git - Version Control System
  • GitHub Profile building
  • Manage your work on GitHub

23. Deployment

  • Heroku Deployment
  • Flask Integration

Data Analysis and Visualization

24. Python Package Manager

  • What is PIP?
  • Installation
  • PIP Freeze
  • Creating Your Own Package
  • Upload it on PIP

25. Python with MongoDB Database

  • SQL and NoSQL
  • Connecting to MongoDB URI
  • Flask application and MongoDB integration
  • CRUD Operations
  • Find
  • Delete
  • Drop

26. Building API

  • API (Application Programming Interface)
  • Building API
  • Structure of an API
  • PUT
  • POST
  • DELETE
  • Using Postman

27. Statistics with NumPy

  • Statistics
  • NumPy basics
  • Working with Matrix
  • Linear Algebra operations
  • Descriptive Statistics

28. Data Analysis with Pandas

  • Data Analysis basics
  • Data frame operations
  • Working with 2-dimensional data
  • Data Cleaning
  • Data Grouping

29. Data Visualization with Matplotlib

  • Matplotlib Basics
  • Working with plots
  • Plot
  • Pie Chart
  • Histogram

Extras

30. What to do Now?

  • Project Building
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About

Welcome to the Complete Python Roadmap! This guide will take you through various modules and sub-modules to help you learn Python step by step.

fardinkai.me/Complete-Python-Roadmap/

Topics

python python3 python-modules python-roadmap practice-programming learnpython python-lessons practice-python pythonprogramming

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