This is the Windows app named NumCpp whose latest release can be downloaded as ReleaseVersion2.12.1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named NumCpp with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
NumCpp
DESCRIPTION
A Templatized Header Only C++ Implementation of the Python NumPy Library. The main data structure in NumCpp is the NdArray. It is inherently a 2D array class, with 1D arrays being implemented as 1xN arrays. There is also a DataCube class that is provided as a convenience container for storing an array of 2D NdArrays, but it has limited usefulness past a simple container.
Features
- NumCpp follows the idioms of the C++ STL providing iterator pairs to iterate on arrays in different fashions
- Logical FUNCTIONS in NumCpp behave the same as NumPy
- Reducers accumulate values of NdArrays along specified axes
- When no axis is specified, values are accumulated along all axes
- Print and file output methods
- NumCpp universal functions are provided for a large set number of mathematical functions
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/numcpp.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
