These are my go-to libraries for Python data crunching.

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Traditional statistical and machine learning methods mostly focus on correlations, but causal models allow researchers to infer mechanisms and predict the effects of interventions. Nevertheless, the ...

Firth penalization reduces small-sample bias and produces finite estimates even when standard MLE fails due to (quasi-)complete separation or monotone likelihood. Standard maximum-likelihood logistic ...

An implementation of MNN correct in python featuring low memory usage, full multicore support and compatibility with the scanpy framework. Batch effect correction by matching mutual nearest neighbors ...

Microsoft has introduced Python integration in Excel, allowing users to perform advanced data analysis seamlessly. The new functionality eliminates the need for additional software installation, ...

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PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...