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Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. Patsy brings the convenience of R "formulas" to Python.

Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models. Main Features: * linear regression models: GLS (including WLS and LS aith AR errors) and OLS. * glm: Generalized linear models with support for all of the one-parameter exponential family distributions. * discrete: regression with discrete dependent variables, including Logit, Probit, MNLogit, Poisson, based on maximum likelihood estimators * rlm: Robust linear models with support for several M-estimators. * tsa: models for time series analysis - univariate: AR, ARIMA; multivariate: VAR and structural VAR * nonparametric: (Univariate) kernel density estimators * datasets: Datasets to be distributed and used for examples and in testing. * stats: a wide range of statistical tests, diagnostics and specification tests * iolib: Tools for reading Stata .dta files into numpy arrays, printing table output to ascii, latex, and html * miscellaneous models * sandbox: statsmodels contains a sandbox folder with code in various stages of * developement and testing which is not considered "production ready", including Mixed models, GARCH and GMM estimators, kernel regression, panel data models.

Display runs a specified command over and over, printing the output through curses(3X). The command can be compound and the delay between executions is settable on the command line. The output from the command had better fit on a single screen, of course. This can conflict with the application of the same name from the graphics/ImageMagick port/package.

Top level class for generating U.N. EDI interchange objects and subobjects.

Test::Dir - test directory attributes FUNCTIONS dir_exists_ok Ok if the directory exists, and not ok otherwise. dir_not_exists_ok Ok if the directory does not exist, and not ok otherwise.

A tool to query the SPDX license list. Use the binary `spdx-lookup`.

A Python module incorporating an interface to the SPDX license database. This library serves purely as a holder for the database that can be found on the SPDX website <https://spdx.org/licenses/>.

SLOCCount can count physical SLOC for a wide number of languages. It can gracefully handle awkward situations in many languages, for example, it can determine the syntax used in different assembly language files and adjust appropriately, it knows about Python's use of string constants as comments, and it can handle various Perl oddities (e.g., perlpods, here documents, and Perl's __END__ marker). It even has a "generic" SLOC counter that you may be able to use count the SLOC of other languages (depending on the language's syntax). SLOCCount can also take a large list of files and automatically categorize them using a number of different heuristics. The heuristics automatically determine if a file is a source code file or not, and if so, which language it's written in. It will even examine file headers to attempt to accurately determine the file's true type. As a result, you can analyze large systems completely automatically. Finally, SLOCCount has some report-generating tools to collect the data generated, and then present it in several different formats and sorted different ways. The report-generating tool can also generate simple tab- separated files so data can be passed on to other analysis tools (such as spreadsheets and database systems).

SoCo (Sonos Controller) is a simple Python class that allows you to programmatically control Sonos speakers.