A few days ago, I published Collecting / Storing Tweets with Python and MongoDB. In that post, I describe the steps needed to collect and store tweets
Collecting / Storing Tweets with Python and MongoDB provides a script that can be used to collect and store tweets using python and mongoDB
A capture of some of the rapids in Cascade Creek. Captured Canon 5DsR, Canon 16-35 f/4 L.
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.
Stockstats currently has about 26 stats and stock market indicators included. Definitely not as robust as TA-Lib, but it does have the basics.
If you'e looking for a good, short introduction to Random Forests, check out Machine Learning With Random Forests And Decision Trees.
A photo of Bakers Bridge near Durango CO. This is the area that they filmed part of the 'jump' scene from Butch Cassidy and the Sundance kid.
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.
You (and your company) probably don't need machine learning. Most companies just need good data management with good regression modeling.
This is a time lapse + multiple exposures of the Animas River in Durango CO
yhat just released a pandas cheat sheet. I also provided some tip on functions that I use all the time with pandas.
Your data project is going to fail. You can plan everything perfectly, use the best systems, hire the best people yet your project will fail.
A quick tutorial and code to show how to get the 'next' row of data for a pandas dataframe.
A capture of the sunset hitting the Sandia Mountains outside Albuquerque NM.Captured with Canon 5DsR and Canon 16-45 f/4 L. Purchase a copy of
Using dask, you can easily work with large data sets including large CSV files without loading the data into memory via out-of-core computations.
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