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Nicolas P. Rougier, Bordeaux, November 2021. The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop only, some deal with
JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-
Tip: Clone this repo with git clone --filter=blob:none to avoid eagerly downloading large boot files for older versions. Chez Scheme is both a programming language and an implementation of that language, with supporting tools and documentation. Supported platforms (bytecode interpreter may work for others): Windows: x86, x86_64, AArch64 Mac OS: x86, x86_64, AArch64, PowerPC32 Linux: x86, x86_64, A
This library provides a safe mechanism for calling C++ code from Rust and Rust code from C++, not subject to the many ways that things can go wrong when using bindgen or cbindgen to generate unsafe C-style bindings. This doesn't change the fact that 100% of C++ code is unsafe. When auditing a project, you would be on the hook for auditing all the unsafe Rust code and all the C++ code. The core saf
Read the full user docs here! cbindgen creates C/C++11 headers for Rust libraries which expose a public C API. While you could do this by hand, it's not a particularly good use of your time. It's also much more likely to be error-prone than machine-generated headers that are based on your actual Rust code. The cbindgen developers have also worked closely with the developers of Rust to ensure that
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