Python Programming Hub

One of the best places to learn Python and Data Science

                                    

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!!!

Chapter 1: Basic Concepts

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

Chapter 2: Python Built-in Functions

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

Chapter 3: Python Libraries

3.1 Numpy library

3.2 Pandas library

3.3 Math Module

Chapter 4: Python API's

4.1 Google Translate API for Python

4.2 Google Trends API for Python

4.3 Wikipedia API for Python

Chapter 5: Additional Python Materials

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

• Quiz - 1

Data Science

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

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.

Contributors

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.

I am an Author @

1. Towards Data Science

2. Analytics-Vidhya

3. Kotlin Academy

4. The Start up

Kaggle

1. My Kaggle Data Sets

HackerRank Exercise

1. HackerRank Exercise Solved

Submit you articles here

1. Data Science from Scratch

Contact for help

Contact	Info
Mail id	tanuprabhu96@gmail.com
Phone number	+1 306-737-9073
Facebook	Tanu N Prabhu
Instagram	tanunprabhu

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 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

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