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Exploratory Data Analysis with the Pandas Framework and Jupyter Notebooks

Exploratory Data Analysis with the Pandas Framework and Jupyter Notebooks

As a Data Scientist, I spend about a third of my time looking at data and trying to get meaningful insights, the discipline some call exploratory data analysis. These are the tools I use the most. Today we will be looking at two awesome tools, following closely the code I uploaded on this github project. One is Jupyter Notebooks, and the other is a Python Framework called Pandas.

Python’s List Comprehensions: Uses and Advantages

Python’s List Comprehensions: Uses and Advantages

Whether you’re a Data Scientist, a Web Developer working in an API, or any other of a long list of roles, chances are you’ll stumble upon Python at some point. If so, List Comprehensions are to be expected. Some of us love Python for its simplicity, its fluidity and legibility. Others hate it for not being as performant as C or pure Assembly, having Duck Typing, or being single-threaded (ish). No matter what group you belong to, if you’re in…

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