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.
Using basic Text Analytics and Visualization techniques, keywords can be automatically extracted from text and relationships can be visualized.
In this article, I provide a few tips to make a bit more realistic and useful visualizations from Facebook's Prophet for forecasting time-series library.
Stockstats currently has about 26 stats and stock market indicators included. Definitely not as robust as TA-Lib, but it does have the basics.
yhat just released a pandas cheat sheet. I also provided some tip on functions that I use all the time with pandas.
A quick tutorial and code to show how to get the 'next' row of data for a pandas dataframe.
When working wth large CSV files in Python, you can sometimes run into memory issue. Using pandas and sqllite can help you work around these limitations.
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