Docker.DotNet
evcxr
Docker.DotNet | evcxr | |
---|---|---|
4 | 75 | |
2,175 | 5,222 | |
1.0% | 1.7% | |
2.8 | 8.6 | |
about 2 months ago | 21 days ago | |
C# | Rust | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Docker.DotNet
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How to write unit tests with Dapper
testcontainers and https://github.com/dotnet/Docker.DotNet are on my to-do list to try out, but just like with something like https://nuke.build/ i can't see the value other than that the config would be c# instead of some flavour of yaml.
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Integration tests with dockerized SQL Server
I knew about https://github.com/dotnet/Docker.DotNet but didn't know about testcontainers-dotnet, thanks!
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Pinecone: Rust – A hard decision pays off
Event the C# version is simpler :D
https://github.com/dotnet/Docker.DotNet#example-create-a-con...
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Container exits intantly when created from C# but works fine if created from Docker Desktop
If i try the same using Docker.DotNet like this:
evcxr
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Scriptisto: "Shebang interpreter" that enables writing scripts in compiled langs
Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.
The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.
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Go: What We Got Right, What We Got Wrong
https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.
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The Hallucinated Rows Incident
The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:
- TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
- Exploring Options for Dynamic Code Changes in Rust without Recompilation (hot reloading)
- Go 1.21 will (likely) have a static toolchain on Linux
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What’s an actual use case for Rust
In theory you should be able to create Rust notebooks (Jupyter notebook) using evcxr so maybe some AI, data analysis, prototyping make sense if you aim for good performance in final application (protype in evcxr and use notebook as reference to implement final application in Rust for speed and safety).
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would you use rust for scripting?
You should check out evcxr
- Nannou – An open-source creative-coding framework for Rust
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Rust vs. Haskell
There is also implementations of rust REPLs, like the beautifully named evcxr.
What are some alternatives?
testcontainers-dotnet - A library to support tests with throwaway instances of Docker containers for all compatible .NET Standard versions.
vscode-jupyter - VS Code Jupyter extension
vscode-rust - Rust extension for Visual Studio Code
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
awesome-rust - A curated list of Rust code and resources.
jupyter-rust - a docker container for jupyter notebooks for rust
go-formatter - A curated list of awesome Go frameworks, libraries and software
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
bincode - A binary encoder / decoder implementation in Rust.
PyO3 - Rust bindings for the Python interpreter
cargo-script - Cargo script subcommand