Search Results for "nginx-rtmp-module" - Page 3
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Showing 96 open source projects for "nginx-rtmp-module"
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ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.
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XElements is a lightweight, easy-to-use Windows GUI library written in C++, that is both available as a C++ library and as a Python module.
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APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.
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ngram is a module to compute the similarity between two strings. It is different to python's "difflib.SequenceMatcher" in that it cares more about the size of both strings. ngram is an port and extension of the perl module called "String::Trigram
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A Python module to seamlessly interact with the Velleman K8055 kit via the K8055D.dll for Windows using Python ctypes
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ATpy (Astronomical Tables in Python) is a Python module aimed at dealing with tables of astronomical data with a common API. To date, the following formats are supported: FITS, VO, and IPAC tables, and SQLite, MySQL, and PostgreSQL databases
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Python module for creating functions computing the Cyclic Redundancy Check (CRC). Any generating polynomial producing 8, 16, 24, 32, or 64 bit CRCs is allowed. Generated functions can be used in Python or C/C++ source code can be generated.
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Python module to interface the CLIPS expert system shell library.
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Create geographics maps from data in table format. Serve map creation requests using a XML-RPC server. - Requires: mapnik, swftools, MySQL server and MySQLdb python module.
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Pypar is an efficient but easy-to-use module that allows programs written in Python to run in parallel on multiple processors and communicate using MPI. Pypar development has moved to http://code.google.com/p/pypar/
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The scikits.timeseries python module provides classes and functions for manipulating, reporting, and plotting time series of various frequencies. The focus is on convenient data access while leveraging the existing functionality in numpy.
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Use of USB to Serial and USB to Parallel BUS CONVERTERS available from ElectronicBRICKS at http://electronicbricks.blogspot.com/search/label/usb-Brick.
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googlemaps
Python wrapper for Google Maps V2 API
* Note: The Google Maps V2 API used by this module has been deprecated. * For V3, consider pygeocoder: https://pypi.python.org/pypi/pygeocoder Easy-to-use Python wrapper for the Google Maps V2 and Local Search APIs. Provides geocoding, reverse geocoding, directions, and local search. -
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With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -
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Python module to track the overall median of a stream of values "on-line" in reasonably efficient fashion.
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Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
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Python module for converting from internal floating point format to external decimal format. Does better than default repr.
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py-xbeeMTS is a graphical interface to manage two cards (one serial and one MuIn Droids) communicating through xbee modules. GUI powered by Glade You must to have python serial module
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Python extension module based on C-XSC (C++ Language eXtensions for Scientific Computation) and the associated Toolbox. Provides a real and complex interval arithmetic with verified results for numerical applications.
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This project going to develop a thermodinamical server for chemical simulation, equip design, scientific module for other aplication or chemical education. Also the thermo server is developed to complete the project of chemical simulation Sim42.Spanish
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A module for Python which provides interface to the PARI/GP computing library. We propose to write programs for PARI using Python scripting language. Python makes code much more clean, readable and manageable than the old-style PARI scripts.
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