This package provides a stable interface for interactions between Snakemake and its storage plugins.

This package provides an efficient implementation of Friedman's SuperSmoother based in Python. It makes use of numpy for fast numerical computation.

Anndata is a package for simple (functional) high-level APIs for data analysis pipelines. In this context, it provides an efficient, scalable way of keeping track of data together with learned annotations and reduces the code overhead typically encountered when using a mostly object-oriented library such as scikit-learn.

The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

Dask is a flexible parallel computing library for analytics. It consists of two components: dynamic task scheduling optimized for computation, and large data collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.

This package provides a simple and easy-to-use PID controller.

This package provides utilities and tools for open data science including tools for accessing data sets in Python.

This package provides a Python interface to the QDLDL LDL factorization routine for quasi-definite linear system.

Thi package implements a functionality for mean-preserving interpolation of 1D data (for example, time series) with splines.

Pandas 0.23 added a simple API for registering accessors with Pandas objects. Pandas-flavor extends Pandas' extension API by

• adding support for registering methods as well

• making each of these functions backwards compatible with older versions of Pandas

This package implements a functionality to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.

pyjanitor provides a set of data cleaning routines for pandas DataFrames. These routines extend the method chaining API defined by pandas for a subset of its methods. Originally, this package was a port of the R package by the same name and it is inspired by the ease-of-use and expressiveness of the dplyr package.

This package provides a stable interface for interactions between Snakemake and its executor plugins.

The fast-histogram mini-package aims to provide simple and fast histogram functions for regular bins that don't compromise on performance. It doesn't do anything complicated - it just implements a simple histogram algorithm in C and keeps it simple. The aim is to have functions that are fast but also robust and reliable. The result is a 1D histogram function here that is 7-15x faster than numpy.histogram, and a 2D histogram function that is 20-25x faster than numpy.histogram2d.

climin is a Python package for optimization, heavily biased to machine learning scenarios. It works on top of numpy and (partially) gnumpy.

The goal of this package is to provide a reference implementation of trait types for common data structures used in the scipy stack such as numpy arrays or pandas and xarray data structures. These are out of the scope of the main traitlets project but are a common requirement to build applications with traitlets in combination with the scipy stack.

This tool provides code to load WSGI applications and servers from URIs; these URIs can refer to Python Eggs for INI-style configuration files. Paste Script provides commands to serve applications based on this configuration file.

This is a little HTTP/1.1 library written from scratch in Python, heavily inspired by hyper-h2. It's a bring-your-own-I/O library; h11 contains no IO code whatsoever. This means you can hook h11 up to your favorite network API, and that could be anything you want.

Oauthlib is a generic, spec-compliant, thorough implementation of the OAuth request-signing logic.

TLDExtract accurately separates the TLD from the registered domain and subdomains of a URL, using the Public Suffix List. By default, this includes the public ICANN TLDs and their exceptions. It can optionally support the Public Suffix List's private domains as well.

This package provides a Python wrapper around OpenWeatherMap web APIs.

Pyramid makes it easy to write web applications. From minimal request/response web apps to larger, grown applications.

The Websocket-client module provides the low level APIs for WebSocket usage in Python programs.

python-oauth2client provides an OAuth 2.0 client library for Python