https://github.com/hemansnation/python-roadmap

Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms
https://github.com/hemansnation/python-roadmap

api flask git github heroku jupyter-notebook matplotlib mongodb numpy pandas postman python scrapping

Last synced: 15 days ago
JSON representation

Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms

• Host: GitHub
• URL: https://github.com/hemansnation/python-roadmap
• Owner: hemansnation
• Created: 2022-05-28T06:42:09.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-04-26T06:11:49.000Z (almost 2 years ago)
• Last Synced: 2025-03-29T23:11:06.704Z (22 days ago)
• Topics: api, flask, git, github, heroku, jupyter-notebook, matplotlib, mongodb, numpy, pandas, postman, python, scrapping
• Language: Jupyter Notebook
• Homepage: https://god-level-python.notion.site/Python-for-Absolute-Beginners-Non-Tech-Professionals-15-Projects-30-Topics-500-Practice-Questi-721c325bd3a9469f952b3317552e50a8
• Size: 1.11 MB
• Stars: 391
• Watchers: 13
• Forks: 102
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Python-Roadmap

![Python Core Header](https://github.com/hemansnation/Python-Roadmap-2022/blob/main/images/pythoncoreheader.png)

### The Roadmap is divided into 30 Sections

1. Introduction and Basics of Python

2. Operators

3. Conditional Statements

4. While Loops

5. Lists

6. Strings

7. For Loop 

8. Functions

9. Dictionary

10. Tuples

11. Set

12. Object-Oriented Programming

13. File Handling

14. Exception Handling

15. Regular Expression

16. Modules and Packages

17. Data Structures

18. Higher-Order Functions

19. Python Web Scrapping

20. Virtual Environment

21. Web Application Project

22. Git and GitHub

23. Deployment

24. Python Package Manager

25. Python with MongoDB Database

26. Building API

27. Statistics with NumPy

28. Data Analysis with Pandas

29. Data Visualization with Matplotlib

30. What to do Now?

## 1 | Introduction and Basics

- 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 Loop

- 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

## 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 | Tuple

- Tuples Basics

- Tuples Comprehensions / Slicing

- Tuple Functions

- Tuple Methods

## 11 | Set

- Sets Basics

- Sets Operations

- Union

- Intersection

- Difference and Symmetric Difference

## 12 | Object-Oriented Programming

- Classes

- Objects

- Method Calls

- Inheritance and Its Types

- Overloading

- Overriding

- Data Hiding

- Operator Overloading

## 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

- Character Classes

## 16 | Modules & Packages

- Different types of modules

- Inbuilt modules

- OS

- Sys

- Statistics

- Math

- String

- Random

- Create your own module

- Building Packages

- Build your own python module and deploy it on pip

## 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

## 19 | Python Web Scrapping

- Understanding BeautifulSoup

- Extracting Data from websites

- Extracting Tables

- Data in JSON format

## 20 | Virtual Environment

- Virtual Environment Setup

## 21 | Web Application Project

- Flask

- Project Structure

- Routes

- Templates

- Navigations

## 22 | Git and GitHub

- Git - Version Control System

- GitHub Profile building

- Manage your work on GitHub

## 23 | Deployment

- Heroku Deployment

- Flask Integration

## 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

- Dataframe operations

- Working with 2-dimensional data

- Data Cleaning

- Data Grouping

## 29 | Data Visualization with Matplotlib

- Matplotlib Basics

- Working with plots

- Plot

- Pie Chart

- Histogram 

## 30 | What to do Now?

- Discussions on how to process further with this knowledge.

## Join the Python Core 2022 WhatsApp Group here:

https://chat.whatsapp.com/Fay4UDQo9ZcA2XpMK6biSF

## Connect with me on these platforms:

GitHub: https://github.com/hemansnation

Twitter: https://twitter.com/hemansnation

LinkedIn: https://www.linkedin.com/in/hemansnation/

Instagram: https://www.instagram.com/masterdexter.ai/