Pandas Basics 
Pandas Basics
by Harrison Kinsley
Video Lecture 2 of 16
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Views: 643
Date Added: August 11, 2016

Lecture Description

In this Data analysis with Python and Pandas tutorial, we're going to clear some of the Pandas basics. Data prior to being loaded into a Pandas Dataframe can take multiple forms, but generally it needs to be a dataset that can form to rows and columns.

Text-version and sample code for this tutorial:

Python dictionaries tutorial:

Course Index

Course Description

In this 16-video tutorial series from, learn how to employ the Pandas library in Python to conduct data analysis operations. Pandas is a Python module, and Python is the programming language that we're going to use. The Pandas module is a high performance, highly efficient, and high level data analysis library.

At its core, it is very much like operating a headless version of a spreadsheet, like Excel. Most of the datasets you work with will be what are called dataframes. You may be familiar with this term already, it is used across other languages, but, if not, a dataframe is most often just like a spreadsheet. Columns and rows, that's all there is to it! From here, we can utilize Pandas to perform operations on our data sets at lightning speeds.


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