Python package for creating and manipulating graphs and networks
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
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A fast multidimensional array facility for Python
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Distributed Asynchronous Hyperparameter Optimization
Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which may include real-valued, discrete, and conditional dimensions.
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
Easily build and distribute Python 3 packages
Setuptools is a collection of enhancements to the Python 3 distutils that allow you to more easily build and distribute Python 3 packages, especially ones that have dependencies on other packages. This package also contains the runtime components of setuptools, necessary to execute the software that requires pkg_resources.py.
A Fast and Extensible Progress Bar for Python and CLI
tqdm derives from the Arabic word taqaddum which can mean "progress". Instantly make your loops show a smart progress meter - just wrap any iterable with tqdm(interable), and you are done!
This package intends to provides a compatibility layer for Python between its two version release. The future and past packages are both provides for backports and forwards, in which you are able to use a single, clean codebase to run under Python3 environmets easily. With also providing futurize and pasteurize scripts, you can convert you Python code to support both version.
Extended pickling support for Python objects