Tom McTavish tommct

To download an online course's materials, from any Jupyter notebook, execute:

!tar chvfz course.tar.gz ../*

Taking a new tack, we are going to use UV. This installs a new, global Python environment. It can easily be tweaked for other project and local environments.

Install uv via

curl -LsSf https://astral.sh/uv/install.sh | sh

Make a bash file, install_python.sh:

#!/bin/bash

To get use MongoDB from Tableau, start a mongosqld instance...

mongosqld --mongo-uri "mongodb://<host>:<port>/?connect=direct"

Then from Tableau, select Servers->MongoDB BI Connector with 127.0.0.1 and 3307 as connection details.

	import contextlib
	from functools import partial

	from sklearn.pipeline import Pipeline

	@contextlib.contextmanager
	def intermediate_transforms(pipe: Pipeline, keys: list=[], bypass_list: list=[]):
	"""Allows for the retrieval of all or parts of the transformations in a
	sklearn Pipeline, as well as the ability to dynamically bypass parts of
	the pipeline.

	import logging
	from collections.abc import Iterable

	def is_container(obj):
	return isinstance(obj, Iterable) and not isinstance(obj, (str, bytes, bytearray))

	# https://stackoverflow.com/a/54000999/394430
	def walk_collection(obj, callback=None, _path: list=[], **kwargs):
	"""Walk an arbitrarily nested structure of lists and/or dicts such as would be made when
	reading JSON as an object. Walking is performed in a depth-first search manner.