Our first post starts off assuming that the data you are looking to retrieve is stored in a CSV (comma-separated-value) file. There are many other forms of storing data, however for the size of files we will initially be using, this will work fine.
In order to start using Python to analyse the data, we must upload the data into the Python workspace. This is done very easily, via the methodology explained in the attached Ipython Notebook. This method uses the Pandas library, which (again) is explained very well in the 'Python for Data Analysis' book.
IPython Notebook (CSV File Import)
CSV Data File
In order to start using Python to analyse the data, we must upload the data into the Python workspace. This is done very easily, via the methodology explained in the attached Ipython Notebook. This method uses the Pandas library, which (again) is explained very well in the 'Python for Data Analysis' book.
IPython Notebook (CSV File Import)
CSV Data File
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