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You are here		www.rasulkireev.com Analyzing FIFA 19 data (I). Data Cleaning with Pandas and Numpy \| Tutorial by Rasul Kireev
\|	\|	nikgrozev.com Pandas in Jupyter - Quickstart and Useful Snippets	5.5 parsecs away Travel
\|	\|	This article overviews how to quickly set up and get started with the pandas data analysis library. It also lists common code snippets for parsing, loading, ...	5.5 parsecs away Travel
\|	\|	data36.com Correlation: What is it? How to calculate it? .corr() in pandas	5.6 parsecs away Travel
\|	\|	What is correlation and why is it important in data science? How can you calculate it? How to use the .corr() in pandas? Find the answers...	5.6 parsecs away Travel
\|	\|	janakiev.com Three Ways to get most of your CSV in Python - njanakiev	3.6 parsecs away Travel
\|	\|	One of the crucial tasks when working with data is to load data properly. The common way the data is formated is CSV, which comes in different flavors and varying difficulties to parse. This article shows three common approaches in Python.	3.6 parsecs away Travel
\|	\|	nickcharlton.net Drawing and Animating Shapes with Matplotlib - Nick Charlton	44.1 parsecs away Travel
\|		As well a being the best Python package for drawing plots, Matplotlib also has impressive primitive drawing capablities. In recent weeks, I've been using Matplotlib to provide the visualisations for a set of robot localisation projects, where we can use rectangles, circles and lines to demonstrate landmarks, robots and paths. Combined with NumPy and SciPy, this provides a quite capable simulation environment.	44.1 parsecs away Travel