Hey Coders! Are you interested in analyzing data in python? Are you aspiring to become a Data Engineer / Data Scientist one day? If yes, then learning pandas, an immensely popular python package for data analysis and manipulation, is a must. Pandas allows python scripts to read in tabular data of all sizes in a neat and organized way, clean it, transform it, analyze it, and then export it back out in csv, sql, excel, and many other file formats. In my eyes, pandas is sort of like SQL for python, but of course, there's even more functionality wrapped in the package which we'll be tutorialing throughout this playlist. In this video, we'll be learning how to install pandas using the pip command and import it into our python file. We'll also be using Jupyter Lab throughout this playlist (which is optional), so we'll take some time to install that as well.
Check out the source code on GitHub:
https://github.com/davidtheweiss/pand...
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🧑💻 Pandas Documentation: https://pandas.pydata.org/docs/refere...
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🕒 Timestamps
0:00 Intro
0:36 What is pandas?
1:54 Overview and Problem Statement
2:50 Installing pandas using pip install pandas
4:57 Installing jupyterlab using pip install jupyterlab
6:51 Viewing the jupyter lab UI using the command jupyter lab
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