Search Results for "tasm 32 bit"

Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays...

IIPImage is a high performance image server and client for viewing, navigating and zooming within high resolution images on the internet. Images in TIFF or JPEG2000 format are efficiently streamed by the server to a choice of clients that can be embedded within a web page.

giv, The G(reat|tk|NU) Image Viewer, is a 8-bit to 32-bit and floating point image and vector viewer for gtk+. It is designed especially for scientific vision and computational geometry and has support for drawing vector graphics on top of an image.

...This converter allows you to write a table in Excel instead, and export the current selection as LaTeX markup which can be pasted into an existing LaTeX document, or exported to a file and included via the \input command. Known to be compatible with Windows Excel 2000–2016 (32-bit and 64-bit) and Mac Excel 2004, 2011, and 2016. May also be compatible with other versions that support .xla add-ins. Does not work on LibreOffice Calc.

...When it needs to compute derivatives (Jacobian matrix, for example) it does that analytically, i.e. without using numerical methods. It's portable. It works on Windows and Linux 32 and 64 bit and Mac OS X 64 bit. It's open. It allows you to implement and embed your own algorithms (aka "solvers"). It's easy to use. It allows to export results to MS Excel and MATLAB. It's multilingual. It currently supports Englis and Russian languages. It's free. It's distributed under the Boost Software License.

Netmate is a GTK+ program that shows network protocols headers in 32-bit aligned fields, identical as they are represented in Request for Comments (RFCs). It can be used to learn and teach about network protocols and to understand their functionality and collaboration.