This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!!
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.
Follow the steps down below to get started coding in python!!!
1.1 Python Input, Output and Import functions
1.2 Python Strings
1.3 Python Lists
1.4 Python Tuples
1.6 Python Operators
2.1 Python Input, Output and Import built-in-functions
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
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
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
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.
Contact | Info |
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Mail id | [email protected] |
Phone number | +1 306-737-9073 |
Tanu N Prabhu | |
tanunprabhu |
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Version 7.2 - Last Updated on July 4 2020 - 1:03 AM