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adorad | One | |
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5 | 1 | |
60 | 276 | |
- | 1.1% | |
1.8 | 8.1 | |
about 2 years ago | 6 days ago | |
C | C | |
MIT License | GNU General Public License v3.0 only |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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How to build your virtual workspace
First things first, we need to build the image. Indeed there is nothing special in this section, because we will only write a Dockerfile for our image. Yet, what make this image special are the pieces of software that will include. Generally, you ought to setup packages required to run your project and your tests, along side with a version control system like git. As far as I am concerned, I included the following packages in my lightweight alpine base image:
What are some alternatives?
lux - The Lux Programming Language
wasi-sdk - WASI-enabled WebAssembly C/C++ toolchain
CSpydr - A static typed low-level compiled programming language inspired by Rust and C
nature - 🍀 The Nature Programming Language, may you be able to experience the joy of programming.
ring - Simple and flexible programming language for applications development
bpfcov - Source-code based coverage for eBPF programs actually running in the Linux kernel
CSCMIC - Learning to make a Scheme interpreter in C
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
sabre - The Antimony programming language
blender-cuda-subdivision-surface-gpu - A Blender 3.0.0 fork that will allow you to subdivide complex meshes using CUDA compatible GPUs. (WIP)
Rubinius - The Rubinius Language Platform