Python Programming Hub

One of the best places to learn Python and Data Science

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This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!!

Installation tools

Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.

Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab

I personally use Google Colab for python programming. It's one of the best interactive tool in the world. I like it because I can provide more documentation to the code and write some quality tutorials.

Repository Contents

This repository is divided into two parts such as Python Coding and Data Science for Beginners.

Python Coding

Follow the steps down below to get started coding in python!!!

Pythonic Materials

Chapter 1️⃣ ⮕ Basic Concepts

• Python Input, Output and Import functions

• Python Variables

  • Python Global, Local and Nonlocal Variables

• Python Strings

• Python Lists

• Python Tuples

• Python Dictionary

• Python Operators

Chapter 2️⃣ ⮕ Built-in Functions

• Python Input, Output and Import built-in-functions

• Eval built-in-function

• Range built-in-function

• Python Lambda Function

• Python Enumerate Function

• Python len function

Chapter 3️⃣ ⮕ Libraries

• Numpy library

• Pandas library

• Math Module

• JSON library

Chapter 4️⃣ ⮕ API's

• Google Translate API for Python

• Google Trends API for Python

• Wikipedia API for Python

• Google Search API for Python

Chapter 5️⃣ ⮕ Additional Materials

• How to get started coding in Python?

• Is Python Object Oriented?

• Speech Recognition using Python

• One-Hot encoding in Python

• Reading An Image In Python (Without Using Special Libraries)

• Rendering Images inside a Pandas DataFrame

• Using the Pandas Data Frame as a Database

• Using the Pandas DataFrame in Day-To-Day Life

• Presenting Python code using RISE

• Cheat Sheet for Google Colab

Chapter 6️⃣ ⮕ Exercises

• String Concatenation Questions

  • String Concatenation Answers

• Built-In Functions Exercise Questions

Chapter 7️⃣ ⮕ Quiz

• Quiz - 1

• Quiz - 2

• Quiz - 3

Chapter 8️⃣ ⮕ Code Snapshots

• Docs

• Snapshots

👉 Expand and Collapse the above Chapters for more details

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Data Science

Follow the steps down below to get started learning Data Science!!!

Data Science Materials

Data Scraping from the Web

• Scraping Two YouTube Accounts - PewDiePie vs T-Series

• Scraping Rate My Professor Website - My Graduate Professor

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Nbviewer

If the jupyter notebook doesn't load. Don't worry just copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.

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Contributors

Currently there are 10 contributors for this repository. Feel free to contribute!

Want to know, how I did this. Refer here for the docs

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Kaggle Datasets

1. Kaggle Data Sets

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HackerRank Exercises - Solved

1. HackerRank Exercise Solved

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Reddit Communities

1. Python
2. Learn python
3. Python tips
4. Python coding

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Submit your articles here

1. Data Science from Scratch

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Contact for help

Contact	Info
Gmail	[email protected]
Phone number	+1 306-737-9073
Facebook	Tanu N Prabhu
Instagram	tanunprabhu
Linkedin	Tanu Nanda Prabhu

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Reviews

Below given are some of the reviews about this Python GitHub Repository:

‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden.
I found your excellent exercises at your GitHub wile preparing undergraduate course in data analysis. I want to use it in my course.

‪Cole Striler - Data Scientist, Founder of Datafied
I came across your GitHub and love your Jupyter Notebooks, especially the one on "Predicting PewDiePie's daily subscribers". I think you do a great job at explaining your work which is something others can learn.

Laurence Watson - Co-Founder & CEO, Treebeard
You have a lot of great Jupyter notebook content on GitHub.

Poonam Gupta - Math & AP Computer Science Instructor, Brunswick School
Thank you so much for posting such helpful posts on GitHub.Many, many thanks for all you do to spread the knowledge.

Do you like the Repository, Please drop in your precious reviews by shooting an e-mail.

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Feedback

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Version

Version 10.4 - Last Updated on Feb 03 2021 - 12:33 PM