textacy Files

New and Changed:

• Expanded text statistics and refactored into a sub-package (PR [#307])
• Refactored text_stats module into a sub-package with the same name and top-level API, but restructured under the hood for better consistency
• Improved performance, API, and documentation on the main TextStats class, and improved documentation on many of the individual stats functions
• Added new readability tests for texts in Arabic (Automated Arabic Readability Index), Spanish (µ-legibility and perspecuity index), and Turkish (a lang-specific formulation of Flesch Reading Ease)
• Breaking change: Removed TextStats.basic_counts and TextStats.readability_stats attributes, since typically only one or a couple needed for a given use case; also, some of the readability tests are language-specific, which meant bad results could get mixed in with good ones
• Improved and standardized some code quality and performance (PR [#305], [#306])
• Standardized error messages via top-level errors.py module
• Replaced str.format() with f-strings (almost) everywhere, for performance and readability
• Fixed a whole mess of linting errors, significantly improving code quality and consistency
• Improved package configuration, and maintenance (PRs [#298], [#305], [#306])
• Added automated GitHub workflows for building and testing the package, linting and formatting, publishing new releases to PyPi, and building documentation (and ripped out Travis CI)
• Added a makefile with common commands for dev work, plus instructions
• Adopted the new pyproject.toml package configuration standard; updated and streamlined setup.py and setup.cfg accordingly; and removed requirements.txt
• Moved all source code into a /src directory, for technical reasons
• Added mypy-specific config file to reduce output noisiness when type-checking
• Improved and moved package documentation (PR [#309])
• Moved the docs site back to ReadTheDocs (https://textacy.readthedocs.io)! Pardon the years-long detour into GitHub Pages...
• Enabled markdown-based documentation using recommonmark instead of m2r, and migrated all "narrative" docs from .rst to equivalent .md files
• Added auto-generated summary tables to many sections of the API Reference, to help users get an overview of functionality and better find what they're looking for; also added auto-generated section heading references
• Tidied up and further standardized docstrings throughout the code
• Kept up with the Python ecosystem
• Trained a v1.1 language identifier model using scikit-learn==0.23.0, and bumped the upper bound on that dependency's version accordingly
• Updated and parametrized many tests using modern pytest functionality (PR [#306])
• Got textacy versions 0.9.1 and 0.10.0 up on conda-forge (Issue [#294])
• Added spectral seriation as a term-ordering technique when making a "Termite" visualization by taking advantage of pandas.DataFrame functionality, and otherwise tidied up the default for nice-looking plots (PR [#295])

Fixed:

• Corrected an incorrect and misleading reference in the quickstart docs (Issue [#300], PR [#302])
• Fixed a bug in the delete_words() augmentation transform (Issue [#308])

Contributors:

Special thanks to @tbsexton, @marius-mather, and @rmax for their contributions! 💐