essays-on-data-science
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ericmjl
In which I put together my thoughts on the practice of data science.
Basically covering the tell-tale signs of when functional programming may be a better choice, and when object-oriented programming may be a better choice, and what to do when the choice...
Basically covering where and when to use: - lists: sequences of identically-typed objects - dictionaries: simple mappings from hashable type to arbitrary objects - (named) tuples: more complex mappings -...
Covering "how to read your Python code to reason about algorithmic complexity". I want to reference Ned Batchelder's talk and [blog post][blogpost] on this topic. [blogpost]: https://nedbatchelder.com/text/bigo.html
Link to page: https://ericmjl.github.io/essays-on-data-science/software-skills/code-formatting/ Should add something about `pyproject.toml` files in there.
Dear Eric, thanks a lot for a great post HMM in pymc3 (https://ericmjl.github.io/essays-on-data-science/machine-learning/markov-models/). I am writing a thesis in associative learning and I would like to integrate part of your...
