Emojicode vs. Haskell vs. NumPy vs. Python Comparison Chart

Emojicode is an open-source, full-blown programming language, consisting of emojis. As a multi-paradigm language, Emojicode features object orientation, optionals, generics, closures, and protocols. Emojicode compiles native machine code using lots of optimizations that make your code fast. Emojicode comes with a comprehensive set of default packages. And you can easily write your own. We believe that Emojis have expressive force. Let’s use that to make programming more fun and accessible. Emojicode is a straightforward language to learn, whatever background you have. Our documentation is known to be excellent and stuffed with walk-through guides and examples. You can help Emojicode grow! Development takes place on GitHub and you’re invited to drop in. Before you install Emojicode make sure you have a C++ compiler and linker installed. clang++ or g++ is fine, for instance. The Emojicode compiler can only link binaries if such a compiler is available.

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.