FULL Python Pandas Data Science Tutorial! (Reading Excel/CSV Files, Datasets, Series & Location)

In today's video, we explore the awesome Python library, Pandas! Check the timestamps below to see what you could get up to in this full Pandas tutorial! 🔔NEW videos, tutorials and projects EVERY week so subscribe and hit the bell button so you don't miss an update!

⏰ Timestamps:
00:09 - What is Pandas?
02:02 - Installing Pandas
04:27 - Datasets & Dataframes
11:28 - Renaming Index's and Locating Them
15:16 - Series and Location
18:43 - Using Excel! (Reading CSV Files)
24:32 - More Excel: Datasets with Empty Entries
30:23 - Mean, Mode, Median and Replacing Empty Entries with these
33:39 - Plotting with Pandas (incorporating Matplotlib!)

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[Mandelbrot]

Watched it all when it was a series, a very good introduction to Pandas.

[coderhyder]

I just came to learn some Pandas but after watching your video, I literally got confused that how an anthropoid can be that beautiful ❤️🥺

[engineeringmadeasy]

when dealing with single column, what should I do when I have different type of values such as floating point, date, time, letter. The datatype of Column is Object. And I want to keep just the time and remove everything else and replace it with average time. How can I do that. Please help.

[nishantthakuribm]

If we do not put 0 at the end, a long list of modes is provided by python ... Why ?
mode = df2['Cars'].mode()[0] ---vs mode = df2['Cars'].mode()

[CPGvr]

Amazing comment, also hope everyone who is early has a good day :)