awesome
/
python
mirror of https://github.com/vinta/awesome-python.git
1
0
Fork 0
Code

fix links

This commit is contained in:
Vinta 2016-01-09 19:39:04 +08:00
parent 7eaffe4630
commit 52ba1c9815
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -615,7 +615,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
*Libraries for working with i18n.* *Libraries for working with i18n.*
* [Babel](http://babel.pocoo.org/) - An internationalization library for Python. * [Babel](http://babel.pocoo.org/en/latest/) - An internationalization library for Python.
* [Korean](https://korean.readthedocs.org/en/latest/) - A library for [Korean](https://en.wikipedia.org/wiki/Korean_language) morphology. * [Korean](https://korean.readthedocs.org/en/latest/) - A library for [Korean](https://en.wikipedia.org/wiki/Korean_language) morphology.
## URL Manipulation ## URL Manipulation
@ -807,7 +807,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
* [curses](https://docs.python.org/2/library/curses.html#module-curses) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications. * [curses](https://docs.python.org/2/library/curses.html#module-curses) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declaratic Syntax like QML. * [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declaratic Syntax like QML.
* [kivy](http://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS. * [kivy](https://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
* [pyglet](https://bitbucket.org/pyglet/pyglet/wiki/Home) - A cross-platform windowing and multimedia library for Python. * [pyglet](https://bitbucket.org/pyglet/pyglet/wiki/Home) - A cross-platform windowing and multimedia library for Python.
* [PyQt](https://riverbankcomputing.com/software/pyqt/intro) - Python bindings for the [Qt](http://www.qt.io/) cross-platform application and UI framework, with support for both Qt v4 and Qt v5 frameworks. * [PyQt](https://riverbankcomputing.com/software/pyqt/intro) - Python bindings for the [Qt](http://www.qt.io/) cross-platform application and UI framework, with support for both Qt v4 and Qt v5 frameworks.
* [PySide](https://wiki.qt.io/PySide) - Python bindings for the [Qt](http://www.qt.io/) cross-platform application and UI framework, supporting the Qt v4 framework. * [PySide](https://wiki.qt.io/PySide) - Python bindings for the [Qt](http://www.qt.io/) cross-platform application and UI framework, supporting the Qt v4 framework.
@ -1065,7 +1065,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
* [PeachPy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python. Can be used as inline assembler for Python or as a stand-alone assembler for Windows, Linux, OS X, Native Client and Go. * [PeachPy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python. Can be used as inline assembler for Python or as a stand-alone assembler for Windows, Linux, OS X, Native Client and Go.
* [PyPy](http://pypy.org/) - An implementation of Python in Python. The interpreter uses black magic to make Python very fast without having to add in additional type information. * [PyPy](http://pypy.org/) - An implementation of Python in Python. The interpreter uses black magic to make Python very fast without having to add in additional type information.
* [Pyston](https://github.com/dropbox/pyston) - A Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance. * [Pyston](https://github.com/dropbox/pyston) - A Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.
* [Stackless Python](http://www.stackless.com/) - An enhanced version of the Python. * [Stackless Python](https://bitbucket.org/stackless-dev/stackless/overview) - An enhanced version of the Python.
## Microsoft Windows ## Microsoft Windows