Python Programming Hub
One of the best places to learn Python and Data Science
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Image Credits Wallpaper Flare |
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 |
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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
1.3 Python Strings
1.4 Python Lists
1.5 Python Tuples
1.7 Python Operators
Chapter 2: Python Built-in Functions
2.1 Python Input, Output and Import built-in-functions
Chapter 3: Python Libraries
3.1 Numpy library
3.2 Pandas library
3.3 Math Module
3.4 JSON library
Chapter 4: Python API's
4.1 Google Translate API for Python
4.2 Google Trends API for Python
4.4 Google Search 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
5.7 Using the Pandas Data Frame as a Database
5.8 Using the Pandas DataFrame in Day-To-Day Life
5.9 Presenting Python code using RISE
5.10 Cheat Sheet for Google Colab
Chapter 6 - Exercises
6.1 String Concatenation Questions
Chapter 7 - Quiz
Subchapter 7.1 - Coding Quiz
7.1.1 Quiz - 1
7.1.2 Quiz - 2
7.1.3 Quiz - 3
Data Science
Follow the steps down below to get started learning Data Science!!!
The contents for Data Science can be found below:
- Data Scraping from the Web
- Data Cleaning and Scrubbing
- Exploring the data from the Web
- 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
Currently there are 10 contributors for this repository. Feel free to contribute!
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Contact for help
Contact | Info |
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Gmail | [email protected] |
Phone number | +1 306-737-9073 |
Tanu N Prabhu | |
tanunprabhu | |
Tanu Nanda Prabhu |
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.
Feedback
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Version
Version 9.9 - Last Updated on January 5 2021 - 10:45 AM