MSYS2 vs. NumPy vs. Python vs. fpm Comparison Chart

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. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

fpm is a tool that lets you easily create packages for Debian, Ubuntu, Fedora, CentOS, RHEL, Arch Linux, FreeBSD, macOS, and more! fpm isn’t a new packaging system, it’s a tool to help you make packages for existing systems with less effort. It does this by offering a command-line interface to allow you to create packages easily. FPM is written in ruby and can be installed using gem. For some package formats (like rpm and snap), you will need certain packages installed to build them. Some package formats require other tools to be installed on your machine to be built; especially if you are building a package for another operating system/distribution. FPM takes your program and builds packages that can be installed easily on various operating systems. It can take any nodejs package, ruby gem, or even a python package and turn it into a deb, rpm, pacman, etc. package.