LexicalRichness: A module to compute textual lexical richness LexicalRichness computes measures of lexical richness (aka lexical diversity or language sophistication) from textual data.
Lexical richness refers to the ratio of different unique words to the total number of words in a text.
Measures include MTLD and HD-D, which are resilient to varying text lengths. SrcPyPIReadTheDocsDOI
runPyNB: Run Jupyter notebooks in command-line and Makefiles runPyNB offers a command-line utility that runs (and time) Jupyter notebook files (.ipynb) without launching the IDEs (Jupyter notebooks or JupyterLab).
Forestplot: Make publication-ready but customizable coefficient plots Forestplot makes publication-ready coefficient plots easy to make out-of-the-box. Other names for forest plots are: coefplots, coefficient plots, meta-analysis plots, dot-and-whisker plots, blobbograms, margins plots, regression plots, and ropeladder plots. Users provide a dataframe (e.g. from a spreadsheet) where rows correspond to a variable/study with columns including estimates, variable labels, and confidence interval limits.