Data Science

Setting up and Optimizing Python for Data Science on Intel, AMD, and ARM (including Apple) Computers

Setting up a Python environment is often a pain. Even worse is that sometimes the environment, once it is finally built, is surprisingly slow because the underlying numeric libraries (BLAS, OneAPI, and so on) are improperly configured. This aims to be a fairly definitive guide to fixing those problems as of early 2022. How much …

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Anaconda is Slow on Tiger Lake – How to Get MKL-accelerated Python working on Latest Intel CPUs

While doing some benchmarking of my AutoTS package I quickly discovered a troubling trend – my newest, fanciest, most expensive Intel i7 CPUs – an Intel 10700 and 1165G7, were performing vastly slower than their older counterparts. I wasn’t terribly surprised to see the 1165G7 having issues: Tiger Lake – a brand new architecture CPU …

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AutoTS – my new time series package for Python

I have a history of obsessing over predicting the future. Probably the first major time series project I had was in grad school, with a consulting project forecasting amusement park attendance that ultimately found a LSTM network to be most effective. Again at my first data science job, forecasting demand and sales and prices. Probably …

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