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A Bestiary

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas,...

bad-data-guide - An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

Bayesian-Modelling-in-Python - A python tutorial on bayesian modeling techniques (PyMC3)

In this post I would like to share seven command-line tools that I have found useful in my day-to-day work as data scientist. The tools are: jq, json2csv, csvkit, scrape, xml2json, sample, and Rio.

Personal and professional website of Jefferson Heard