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You are here		tomaugspurger.net Practical Pandas Part 1 - Reading the Data \| Tom's Blog
\|	\|	marcobonzanini.com Tips for saving memory with pandas - Marco Bonzanini	3.2 parsecs away Travel
\|	\|	In this article you'll find some tips to reduce the amount of RAM used when working with pandas, the fundamental Python library for data analysis and data manipulation. When dealing with large(ish) datasets, reducing the memory usage is something you need to consider if you're stretching to the limits of using a single machine. For...	3.2 parsecs away Travel
\|	\|	nikgrozev.com Pandas in Jupyter - Quickstart and Useful Snippets	4.7 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, ...	4.7 parsecs away Travel
\|	\|	janakiev.com Three Ways to get most of your CSV in Python - njanakiev	3.4 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.	3.4 parsecs away Travel
\|	\|	aosmith.rbind.io Simulate! Simulate! - Part 3: The Poisson edition	33.6 parsecs away Travel
\|		Extending my simulation examples into the world of generalized linear models, I simulate Poisson data to explore what a quadratic relationship looks like on the scale of the data when fitting a generalized linear model with a log link.	33.6 parsecs away Travel