Best Data Analysis Library in Python

<p>Imagine you have a bunch of data in Jupyter Notebook that you want to analyze and visualize.&nbsp;<strong>PyGWalker</strong>&nbsp;is like a magic tool that makes it super easy for you. It takes your data and turns it into a special kind of table that you can interact with, just like using Tableau. You can explore your data visually, play around with it, and see patterns and insights<strong>&nbsp;without getting lost in complicated code</strong>.&nbsp;<strong>PyGWalker</strong>&nbsp;simplifies everything, so you can analyze and understand your data quickly and effortlessly. PyGWalker, developed by Kanaries.</p> <p>Official GitHub Repository &mdash;&nbsp;<a href="https://github.com/Kanaries/pygwalker" rel="noopener ugc nofollow" target="_blank">https://github.com/Kanaries/pygwalker</a></p> <p>Code &mdash;&nbsp;<a href="https://colab.research.google.com/drive/171QUQeq-uTLgSj1u-P9DQig7Md1kpXQ2?usp=sharing" rel="noopener ugc nofollow" target="_blank">Google Colab</a>&nbsp;,&nbsp;<a href="https://www.kaggle.com/code/asmdef/pygwalker-test/notebook" rel="noopener ugc nofollow" target="_blank">Kaggle Notebook</a></p> <p>Author Profile &mdash;&nbsp;<a href="https://github.com/ObservedObserver" rel="noopener ugc nofollow" target="_blank">https://github.com/ObservedObserver</a></p> <p>Install PyGWalker library via pip</p> <pre> !pip install pygwalker -q</pre> <p>To get started with&nbsp;<strong>PyGWalker</strong>&nbsp;in Jupyter Notebook, you need to import two essential libraries:&nbsp;<strong>pandas and pygwalker</strong>.</p> <p><a href="https://medium.com/@fareedkhandev/best-data-analysis-library-in-python-ad2572288017"><strong>Visit Now</strong></a></p>
Tags: Data Python