Search Results for "moltaqa-lib"

*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4

To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. ...

This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.

...The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. The library is mature enough and is very usable even if the development is at a beta step.

math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net

aka: Schlang - A Deliberately Non-Object-Oriented Python Interface to COMEDI COMEDI datatypes and functions are replicated though this interface using the Python ctypes library. This allows the user to interface directly with comedi-lib though the comfortable interface of a Python interpreter.Object-Orientation of the interface is deliberately not provided so the coding style will loosely mimic C -- in this way, Schlang can be used to prototype and debug complex programs that will later be written in C.

This project incorporates a suite of tools that aim to allow researchers within Griffith's Imaging and Image Analysis Facility (GIIAF) to efficiently and effectively provide secure, centralised, web-accessible data storage, management and manipulation. The open-source Java-based OMERO software was customised to provide most of the features of this project.

The YEI 3-Space Sensor Application Programming Interface (API) is a series of functions, classes, and structure definitions designed to make writing applications that utilize the YEI 3-Space family of sensors fast and easy to support. The C/C++ variant of the API is built as a header (.h) and dynamic link library (.dll + .lib). With the C/C++ API, users that require easy integration of the 3-Space family of sensors into programming environments not natively supported may import the dynamic link library and call its contained functions from the importing program, as the API's function prototypes are all compiled as C prototypes and are name mangled as such.

This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python.

Benetech Human Rights Program Utility Library: Collection of utilities used by the Benetech Human Rights programming for processing human rights data in preparation for statistical analysis. Library handles DSV files, name canonicalization, binarray, et

C++ template class library and Python modules for Computational Analytic Geometry, which define classes of geometry objects in 2D and 3D Cartesian coordinate system, such as line, circle, curve ... as well as relations and transform operations of them.