SEO, Python programming and web development
Importing data for data science with Python
In this post we look at reading different file types including text, CSV and Excel files into NumPy and Pandas.
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The random walk challenge
Data science involves using a number of packages in conjuction with one another - in this tutorial we dive into a well known example called the "the randon walk" in which we using a number of core data science packages.
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Pandas basics - looping through DataFrames and adding columns
In this post we look in more depth at the python package Pandas; namely, looping through dataframes and adding columns.
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Pandas basics - loading data, filtering and querying
In this post we look at the very basic features of the Pandas package in Python; a hugely popular package in data science. It includes loading data, accessing columns using loc and iloc, and querying a DataFrame
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Matplotlib basics
In this post we look at the very basic features of the Matplotlib package in Python. This package is used for graphical representation of data.
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Numpy basics
In this post we look at the very basic features of the NumPy package in Python. This package is prodominantely used in data science and is a good starting point before jumping into Pandas.
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