Tutorial 1- Seaborn | Tutorial- Distplot, Joinplot, Pairplot Part 1 | Hindi | Great Programming |

Publicado el: 14 agosto 2020
en el canal de: Great Programming
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Hello All,
Welcome to the Python Crash Course. In this video we will understand about Seaborn.
video link:-    • Tutorial 1- Seaborn | Tutorial- Distplot, ...  

Matplotlib Link:-    • Python Matplotlib - Graphics in Python | P...  
Data-Frames Tutorial2 Link:-    • Python Pandas Tutorial 2 |  Dataframe Basi...  
Data-Frames Tutorial1 Link:-    • Video  
Pandas Turorial Link:-    • How to Create a Pandas DataFrame | Great P...  
Numpy Tutorial Link:-    • Python NumPy | NumPy Array | Python Tutori...  
Calculator Link:-    • How to Create a Simple Calculator Program ...  
Dictionary Link:-    • Python for Beginners_2 | Python Dictionary...  
Biginners Python Link:-    • Python for Beginners | Python  Examples | ...  

Python download Links:-

Install Python:- https://www.python.org/downloads/Python
Pycharm:- https://www.jetbrains.com/pycharm/dow...
Anaconda installation:- https://www.anaconda.com/products/ind...
Google colab:- https://colab.research.google.com/not...

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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source licence. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.


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