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https://github.com/fardinhash/complete-python-roadmap

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.
https://github.com/fardinhash/complete-python-roadmap

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

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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.

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README 

        
# Complete Python Roadmap (Divided into 30 Modules) 🔥💻



| Categories                     | Modules                                               |

|--------------------------------|-------------------------------------------------------|

| Core Concepts 🌟                 | [Introduction and Basics of Python](#1-introduction-and-basics-of-python)
[Operators](#2-operators)
[Conditional Statements](#3-conditional-statements)
[While Loops](#4-while-loops)
[Lists](#5-lists)
[Strings](#6-strings) |

| Control Flow 🌐                  | [For Loops](#7-for-loops)
[Functions](#8-functions)
[Dictionary](#9-dictionary)
[Tuples](#10-tuples)
[Set](#11-set) |

| Data Structures 🏗️              | [Data Structures](#17-data-structures)
[Higher-Order Functions](#18-higher-order-functions) |

| Object-Oriented Programming 🧬  | [Object-Oriented Programming](#12-object-oriented-programming) |

| File Handling and Modules 📁     | [File Handling](#13-file-handling)
[Exception Handling](#14-exception-handling)
[Regular Expression](#15-regular-expression)
[Modules and Packages](#16-modules-and-packages) |

| Web Development 🌐               | [Virtual Environment](#20-virtual-environment)
[Web Application Project](#21-web-application-project) |

| Version Control and Deployment 🚀 | [Git and GitHub](#22-git-and-github)
[Deployment](#23-deployment) |

| Data Analysis and Visualization 📊 | [Python Package Manager](#24-python-package-manager)
[Python with MongoDB Database](#25-python-with-mongodb-database)
[Building API](#26-building-api)
[Statistics with NumPy](#27-statistics-with-numpy)
[Data Analysis with Pandas](#28-data-analysis-with-pandas)
[Data Visualization with Matplotlib](#29-data-visualization-with-matplotlib) |

| Extras                         | [What to do Now?](#30-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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