Search Results for "dev-c packages"

...Runs on Windows, uses open source libraries. Requirements: 1) Net Framework 4.8 Runtime https://dotnet.microsoft.com/es-es/download/dotnet-framework/net48 2) Visual C++ Redistributable Packages for Visual Studio 2013 https://www.microsoft.com

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. ...

The SELENA and RISe software tools are two packages to assist in computing earthquake damage scenarios. The damage probability for any specific structure follows the computation principles of HAZUS.

WARNING: rgdal is only available for download from CRAN - this repository no longer used for development. NEVER use the very out of date file bundles for download from this site!!! See http://cran.r-project.org/web/packages/rgdal/index.html.

...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. ...