This tool implements quantile normalization. It properly resolves rank ties, which is important when ties happen frequently, such as when working with discrete numbers (integers) in count tables. This implementation should be relatively fast, and can use multiple cores to sort the columns and tie-resolvement is accelerated by numba.

PyLD is an implementation of the JSON-LD specification.

Clone non-relocatable virtualenvs without breaking site-packages.

pyaml is a PyYAML based python module to produce pretty and readable YAML-serialized data.

This package provides JSON support files from the JSON Schema Specifications (metaschemas, vocabularies, etc.), packaged for runtime access from Python as a referencing-based Schema Registry.

Sexpdata is an S-expression parser/serializer. It has load and dump functions like pickle, json or PyYAML module.

The simplaudio package provides cross-platform, dependency-free audio playback capability for Python 3 on OSX, Windows, and Linux.

PythonLibCore provides tools for creating larger test libraries for Robot Framework using Python. The Robot Framework hybrid and dynamic library APIs give more flexibility for library than the static library API, but they also set requirements for libraries which need to be implemented in the library side. PythonLibCore eases the problem by providing a simpler interface and by handling all the requirements towards the Robot Framework library APIs.

This package provides chardet, a Python module that can automatically detect a wide range of file encodings.

Fastprogress is a progress bar for Jupyter Notebook and console.

Billiard is a fork of the Python 2.7 multiprocessing package. The multiprocessing package itself is a renamed and updated version of R Oudkerk's pyprocessing package. This standalone variant is intended to be compatible with Python 2.4 and 2.5, and will draw its fixes/improvements from python-trunk.

This package provides various tools to supplement packaging Python releases.

Kazoo is a Python client library for the Apache Zookeeper distributed application service. It is designed to be easy to use and to avoid common programming errors.

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

pathvalidate is a Python library to sanitize/validate strings representing paths or filenames.

Redo provides various means to add seamless ability to retry to any Python callable.

This package provides ddlparse, a Python library to parse and convert DDL to BigQuery JSON schema.

The verboselogs package extends Python's logging module to add the log levels NOTICE, SPAM, SUCCESS and VERBOSE.

Cloudpickle makes it possible to serialize Python constructs not supported by the default pickle module from the Python standard library. It is especially useful for cluster computing where Python expressions are shipped over the network to execute on remote hosts, possibly close to the data.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

Python toolchain including Python itself, setuptools and pip. Use this package if you need a minimal Python toolchain instead of just the interpreter.