This is the Windows app named NumPy whose latest release can be downloaded as v1.26.1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named NumPy 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
NumPy
DESCRIPTION
Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use.
Features
- Fast and versatile vectorization, indexing, and broadcasting
- Comprehensive mathematical functions, random number generators, linear algebra routines
- NumPy supports a wide range of hardware and computing platforms
- Plays well with distributed, GPU, and sparse array libraries
- The core of NumPy is well-optimized C code
- NumPy’s high level syntax makes it accessible and productive for programmers from any background
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/numpy.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
