Python 3 Library

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Python v3.1.4 Publishing Object-oriented literal translation computer programming language

The 3.0 version of Python is called Python 3000, or py3k, in the development phase. This is a large upgrade relative to earlier versions of Python. In order not to bring in too much baggage, Python 3.0 is not considered backward compatible at design time. Many programs designed for earlier versions of Python do not work properly on Python 3.0. To take care of the existing programs, Python 2.6 as a transitional version, basically uses the Python 2.x syntax and library, while considering the ...

15 Most popular Python open source framework

We've sorted out 15 of the most popular Python open source frameworks from GitHub, including event I/O, OLAP, web development, high-performance network communications, testing, reptiles, and more. 1. Django:python Web application Development Framework Django should be the most famous Python framework, and Gae and even erlang have frameworks that are affected by it. Django is the direction of walking all-inclusive, it is the most famous is its fully automated management background: Just to use ORM, simple ...

Python-djvulibre 0.3.4 Release Python binding kit

Python-djvulibre is a djvulibre library of Python binding kit, is an open source implementation of DjVu. Python-djvulibre 0.3.4 The compatibility of this version of Python 3.x has been fixed and some documentation has been improved. Software information: Http://jwilk.net/software/python-djvulibre download address: Http://pypi.python.org/packages/sourc ...

Pyswisseph 1.77.00-0 publishes a Python extension library

Pyswisseph is a python extended astrodienst Swiss ephemeris C library. The purpose of this extension is to achieve very precise astronomical computations, astrology. Pyswisseph 1.77.00-0 This version has been upgraded Swisseph to 1.77.00, adding CMake to build system files and fixing bugs. Use example: >>> import Swisseph as SWE>>&G ...

Urwid 1.0.0 publishes the Python Library of the text console

Urwid is a Python library for developing text console applications. It features a variety of functions, including fluid interface size changes, support for UTF-8 and CJK Encodings, Standard and custom text layout patterns, simple text-attribute tagging and a powerful dynamic list box for handling a mix of part types. Urwid 1.0.0 is the first http://www.aliyun.com/zixun/aggregation/18782.html "> officially released version, ...

Mahotas 0.6.6 publishes the Python Image processing library

Mahotas is an image processing library for Python. It includes some image processing algorithms to realize c++++ acceleration, the main algorithm is watershed and domain value. Mahotas 0.6.6 Version Update log: 1.morph.get_structuring_element is implemented for Ndim &gt.2.this implies that functions As label () now a ...

How to choose an open source machine learning framework

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

MATHGL 2.0.beta Release High quality Graphics class library

Mathgl 2.0.beta The version has many changes, including new structures, interfaces, new floor plans, and so on. Mathgl is a http://www.aliyun.com/zixun/aggregation/32995.html "> class library that generates High-quality graphics under Windows and Linux; used to generate various graphs based on a large array of arrays. ; can be easily embedded in other programs; Download Address: Http://sourc ...

Xylib 0.9 Publishing Database file read Library

Xylib is a portable c++++ library that reads files containing x-y databases from powder diffraction analysis, spectroscopy or other experimental methods. Written in C + +, but bound to C and Python. Xylib support formats include plain text (CSV or TSV), powder diffraction crystallography information file (PDCIF), Siemens/bruker UXD, Siemens/bruker RAW v1/2/3, Http://www.aliyun.com/zixun ...

11 Open Source machine learning project worth Mark

Spam filtering, face recognition, recommendation engine-when you have a large dataset and want to use them to perform predictive analysis and pattern recognition, machine learning is the only way. In this science, computers can learn, analyze and manipulate data independently without prior planning, and more and more developers are now concerned with machine learning. The rise of machine learning technology is also important not only because hardware costs are getting cheaper and more powerful, but free software surges that machine learning is easily deployed on stand-alone or large-scale clusters The diversity of machine learning libraries means that whatever language you like ...

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