Showing 5 open source projects for "numpy python 2.7"

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  • 1

    pytkapp

    Python package for develop an SDI/MDI application and set of widgets.

    =========== pytkapp =========== Python package for develop an application that provide multi-documents/single-document interface with using of tkinter library and set of additional tkinter widgets. See available demos: pytkapp/demo/run_ptaoptionsdemo.py - run GUI demo for option's container (available widgets, rules) pytkapp/demo/run_ptamdidemo.py - run demo of MDI application pytkapp/demo/run_ptasdidemo.py - run demo of SDI application pytkapp/demo/run_tkwbasicdemo.py - run demo of basic widgets pytkapp/demo/run_tkwtldemo.py - run demo of tablelist-based widgets pytkapp/demo/run_diademo.py - run demo for dialog widgets (selector, xmessage) Notes ========= 1) PyTkApp package was tested on python 2.7, 3.1 2) If you planning to use tablelist-based widgets then you need to download tcl Tablelist package from http://www.nemethi.de/
    Downloads: 0 This Week
    Last Update:
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  • 2
    PyGObject for Windows

    PyGObject for Windows

    All-In-One PyGI/PyGObject for Windows Installer

    Cross-platform python dynamic bindings of GObject-based libraries for Windows 32-bit and 64-bit.
    Downloads: 50 This Week
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  • 3
    guiqwt
    Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) and on the scientific modules NumPy and SciPy, guiqwt is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactiv
    Downloads: 0 This Week
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  • 4
    Python Tkinter Extensions

    Python Tkinter Extensions

    Additional Graphical Classes and Widgets for Tkinter/Ttk

    This is a Python package with extensions for Tkinter. It supports both Python 2.7 and Python 3.3. Currently, the project is in version 1.0 of the Production stage. Feel free to fork off the main project or send me possible additions to the package.
    Downloads: 3 This Week
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  • 5
    PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
    Downloads: 0 This Week
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