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.
Numpy is licensed under the BSD license, enabling reuse with few restrictions.
Dependencies and supported Python versions
For full details, see the installation section of the manual. The basic parts of IPython only need the Python standard library, but much of its more advanced functionality requires extra packages.
Officially, IPython requires Python version 2.7, or 3.3 and above. IPython 1.x is the last IPython version to support Python 2.6 and 3.2.
Fast event loop based on libev (epoll on Linux, kqueue on FreeBSD).
Lightweight execution units based on greenlet.
API that re-uses concepts from the Python standard library (for example there are Events and Queues).
Cooperative sockets with SSL support »
DNS queries performed through threadpool or c-ares.
Monkey patching utility to get 3rd party modules to become cooperative »
gevent is inspired by eventlet but features more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent.
gevent is written and maintained by Denis Bilenko with help from the contributors and is licensed under the MIT license.