@SciPyTip

Tweets about SciPy (Scientific Python) and related topics from @JohnDCook.

 Houston
JohnDCook.com
Joined February 2011
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213Media
Shapely: Geometric objects, predicates, and operations pypi.python.org/pypi/Shapely

shapely

Manipulation and analysis of geometric objects

pypi.org
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Distributions in scipy.stats have a method sf for the survival function, i.e. complementary CDF.
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Quick linear regression: scipy.stats.linregress(x, y) returns slope, intercept, rvalue, pvalue, stderr.
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scipy.optimize contains functions for optimization and root finding
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Working around a strange Python problem caused by PEP 723 johndcook.com/blog/2026/10/2…

Working around a strange Python problem | Python PEP 723

Working around a script failure caused by Python PEP 723 following an update

johndcook.com
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Scientific Python retweeted
Samuel Colvin
@samuelcolvinOct 22
I read this and I'm terrified, the situation seems intractable. In the python ecosystem alone every cpython install, venv, UV is at risk. Don't get my started on npm, pnpm, yarn, go, rust. My current 2026 security posture: stay home and only connect to the internet from a trusted ISP. The winter is coming. discuss.python.org/t/informa…

Information for Python users regarding eMudhra / emSign CA certificate security incident

A security incident affecting eMudhra intermediate certificates has required removing the emSign root CA certificate from CA bundles such as “certifi”. It’s important to immediately upgrade the...

discuss.python.org
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Minimally sufficient pandas medium.com/dunder-data/minim…

Minimally Sufficient Pandas

In this article, I will offer an opinionated perspective on how to best use the Pandas library for data analysis. My objective is to argue…

medium.com
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The incomplete gamma and beta functions in SciPy actually compute REGULARIZED incomplete gamma and beta functions. johndcook.com/blog/gamma_pyt…

Gamma functions in Python

Summary of how to compute the gamma function and related functions in Python using SciPy

johndcook.com
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Can compute eigenvalues and eigenvectors with linalg.eig().
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Histogram bin heuristic: numpy.histogram_bin_edges(x, bins='fd') uses Freedman–Diaconis rule.
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np.unique returns the unique elements of an array in sorted order.
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np.linalg.pinv computes the Moore-Penrose pseudo inverse of a matrix.
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Probability distribution parameterizations in SciPy johndcook.com/blog/2010/02/0…

Probability distribution parameterizations in SciPy

Parameterizations are the bane of statistical software. One of the most common errors is to assume that one software package uses the same parameterization as another package. For example, some...

johndcook.com
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numpy.random.zipf(a, n) generates n samples from a discrete power law with exponent a.
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np.nan_to_num() replaces nan with 0, inf with max float, and -inf with min float.
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Latin hypercube: scipy.stats.qmc.LatinHypercube(d).random(n) is a solid design-of-experiments default.
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openpyxl: a Python library to read/write Excel xlsx/xlsm files pypi.python.org/pypi/openpyx…

openpyxl

A Python library to read/write Excel 2010 xlsx/xlsm files

pypi.org
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Lambert W poster: orcca.on.ca/LambertW/ scipy.special.lambertw
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linalg.lstsq can solve over-determined linear systems. (lstsq ~ least squares)
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Approximating a solution that doesn't exist johndcook.com/blog/2009/08/1…

Approximating a solution that doesn't exist | diff eqn

An example of how you can be mislead when trying to compute a solution that doesn't really exist.

johndcook.com
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