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.

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

1.1 Python Input, Output and Import functions

1.2 Python Variables

• Python Global, Local and Nonlocal Variables

1.3 Python Strings

1.4 Python Lists

1.5 Python Tuples

1.6 Python Dictionary

1.7 Python Operators

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

2.2 Eval built-in-function

2.3 Range built-in-function

2.4 Python Lambda Function

2.5 Python Enumerate Function

2.6 Python len function

3.1 Numpy library

3.2 Pandas library

3.3 Math Module

4.1 Google Translate API for Python

4.2 Google Trends API for Python

4.3 Wikipedia API for Python

5.1 How to get started coding in Python?

5.2 Is Python Object Oriented?

5.3 Speech Recognition using Python

5.4 One-Hot encoding in Python

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

5.6 Rendering Images inside a Pandas DataFrame

• Quiz - 1

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

The contents for Data Science can be found below:

1. Data Scraping from the Web
2. Data Cleaning and Scrubbing
3. Exploring the data from the Web
4. Predicting the data

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.

Tanu Nanda Prabhu : This is me, I'm doing my Master's in Computer Science, at University of Regina, Canada. Although I'm good at programming, definitely not a code monkey. I like to document each and every line of code and help others understand it. It is very important to document the code. I believe that I learn simultaneously while I teach you guys in this repository. Special thanks to Udemy, it is with the help of their guidance, I could learn Python at a high level.

1. Towards Data Science

2. Analytics-Vidhya

3. Kotlin Academy

4. The Start up

1. My Kaggle Data Sets

1. HackerRank Exercise Solved

1. Data Science from Scratch

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 prepearing 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

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Version 8.3 - Last Updated on September 4 2020 - 11:15 PM