Market basket analysis determines what products are purchased together. An approach using Python and Pandas to perform this retail analysis.
In this post, I provide an overview of comparing different machine learning methods.
If you use pandas in your data analysis, you can now use modin to speed it up. In this post, I do a test to find the savings from modin and pandas.
A quick tip on Comparing two pandas dataframes and getting the differences in python pandas.
Using Python and AWS Lambda, I've been able to offload a number of python scripts (set up as API endpoints on AWS) to allow more flexibility and save money.
Visualizing data is vital to analyzing data. If you can't see your data - and see it in multiple ways - you'll have a hard time analyzing that data
Forecasting time-series data with Prophet. Prophet is a fairly new library for python and R to help with forecasting time-series data.
Collecting / Storing Tweets with Python and MongoDB provides a script that can be used to collect and store tweets using python and mongoDB
I use jupyter with vagrant to do 99.% of all my python development. This post explains how easy it is to set up jupyter with vagrant.
Running vagrant on windows allows python developers to run *nix in in a VM for python development, which might help with some Windows python issues.
Need help installing python on OSX? This post provides some information and a walk-through of manually installing python on your mac.
A cross-post from Python Data on getting started with data analytics and Python, including key modules for time series, NLP, and machine learning.
Why Python became my go-to tool for data analytics over R and Excel, plus the modules that make it possible.
I've spent the last two weeks with my head buried in programming languages. I've been needing to re-write some scripts for data analysis for my research.
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