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VTK - The Visualization Toolkit

VTK - The Visualization Toolkit

News CEI-EnSight Python Wrapping - KitwarePublic From KitwarePublic This section describes how to wrap ITK classes for being used from Python. Python will need to be installed along with the Python development headers (Python.h). If you need to specify a specific Python version or a custom location of the headers, the following CMake configuration variables can be modified: Step 2: Turn on Python wrapping in the ITK configuration Turn ON the CMake configuration ITK_WRAP_PYTHON. Step 3: Select the pixel types and dimensions to build You can choose what pixel types and dimensions to build into the wrapped interface. For the dimensions to support, set the CMake configuration variable ITK_WRAP_DIMS. The pixel types to support are boolean variables in the pattern ITK_WRAP_<pixel type>. ITK_WRAP_float ITK_WRAP_rgb_unsigned_char ITK_WRAP_vector_double ITK_WRAP_complex_double

VPython OpenGL PyQtGraph - Scientific Graphics and GUI Library for Python Model Builder plotexplorer_gui 0.3.2 Package Index > plotexplorer_gui > 0.3.2 Not Logged In plotexplorer_gui 0.3.2 Downloads ↓ A wxpython/matplotlib script for plotting and contrasting a collection of graphs This script creates a matplotlib window next to the sortable list of checkboxes from which graphs can be selected. This script depends upon wxpython and matplotlib. Downloads (All Versions): 7 downloads in the last day 84 downloads in the last week 555 downloads in the last month Website maintained by the Python community Real-time CDN by Fastly / hosting by Rackspace / design by Tim Parkin Monte - machine learning in Python

Overview — SimPy 3.0.2 documentation Event discrete simulation for Python. News | PyPI | Bitbucket | Issues | Mailing list >>> import simpy>>>>>> def clock(env, name, tick):... while True:... print(name, yield env.timeout(tick)...>>> env = simpy.Environment()>>> env.process(clock(env, 'fast', 0.5))<Process(clock) object at 0x...>>>> env.process(clock(env, 'slow', 1))<Process(clock) object at 0x...>>>> 0slow 0fast 0.5slow 1fast 1.0fast 1.5 SimPy is a process-based discrete-event simulation framework based on standard Python. Its event dispatcher is based on Python’s generators and can also be used for asynchronous networking or to implement multi-agent systems (with both, simulated and real communication). Processes in SimPy are simple Python generator functions and are used to model active components like customers, vehicles or agents. Simulations can be performed “as fast as possible”, in real time (wall clock time) or by manually stepping through the events.

Python Data Analysis Library — pandas: Python Data Analysis Library Python Library From OSGeo Wiki Motivation Several OSGeo software projects support Python. However, a global abstraction layer is lacking which would help to do "OSGeo Python programming". Functionality Shared functions may include Import/Export of data Linking to external data sources Reprojection tools GIS analysis Plotting and printing Programming Language Python SWIG ... Existing code to be recycled Efforts outside the OSGEO world Architecture Draft concept: +----------------------------------------------------------------+ | | | OSGeo Python Library | User API | | +---------+------------+-------------+-----------+---------+-----+ | | | | | | | | File IO | Streams IO | Projections | Analytics | Print | ... | Abstraction Layer | | | | | | | +---------+------------+-------------+-----------+---------+-----+ | | | | | | | GDAL/xxx | PROJ4 | GRASS | QGIS | ... | OSGeo and related projects | | | |Mapserver| | with Python bindings | | | | | | +----------------------+-------------+-----------+---------+-----+

Intro and Overview - Vision Egg