by Harrison Kinsley
Video Lecture 7 of 16
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Date Added: August 11, 2016

Lecture Description

Welcome to Part 7 of our Data Analysis with Python and Pandas tutorial series. In the last couple tutorials, we learned how to combine data sets. In this tutorial, we're going to resume under the premise that we're aspiring real estate moguls. We're looking to protect our wealth by having diversified wealth, and, one component to this is real-estate.

Tutorial text and sample code: pythonprogramming.net/pickle-data-analysis-python-pandas-tutorial/


Course Index

Course Description

In this 16-video tutorial series from PythonProgramming.net, 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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