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moved Python API to done

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EntireTwix 2021-06-18 15:30:19 -07:00
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commit 191c308561
2 changed files with 9 additions and 4 deletions
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3
APIs.md
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@ -3,8 +3,9 @@
## Complete
* [JS API](https://github.com/LukeeeeBennett/ccash-client-js)
* [ComputerCraft (Lua) API](https://github.com/Reactified/rpm/blob/main/packages/ccash-api/api.lua)
* [Python API](https://github.com/fearlessdoggo21/ccashpythonclient)
## In Dev
* [Python API](https://github.com/fearlessdoggo21/ccashpythonclient)
* [C API]()
* [CS API](https://github.com/Soverclysm/CCash-dotnet-api)
* [Rust API](https://git.stboyden.com/STBoyden/ccash-rs)

8
README.md
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@ -65,8 +65,8 @@ Thank you to the contributors
| :------------------------------------------ | ---------------------------------------------------------- | ---------------------- |
| [Expand](https://github.com/Expand-sys) | Slight docker changes | Frontend |
| [React](https://github.com/Reactified) | CC API, Logo | CC Shop, CC ATM. |
| [Doggo](https://github.com/FearlessDoggo21) | Logs loading/adding Optimized, HTTP convention suggestions | Python API |
| [Luke](https://github.com/LukeeeeBennett) | JS API, Docker, Slight Doc edits | `N/A` |
| [Doggo](https://github.com/FearlessDoggo21) | Logs loading/adding Optimized, HTTP convention suggestions | `N/A` |
| [Jolly](https://github.com/STBoyden) | Slight Doc edits | `N/A` |
## Features
@ -79,7 +79,11 @@ Thank you to the contributors
- **parallel hashmaps** a far [superior](https://greg7mdp.github.io/parallel-hashmap/) HashMap implementation to the STD, that also benefits from multi-threaded
- **Drogon** is a very fast [web framework](https://www.techempower.com/benchmarks/#section=data-r20&hw=ph&test=composite)
- **xxHash** for the hashing of passwords, it is very fast: [graph](https://user-images.githubusercontent.com/750081/61976089-aedeab00-af9f-11e9-9239-e5375d6c080f.png)
- **Lightweight**, anecodotally I experienced 0.0% idle, <1% CPU usage on average, 7% at peak, 1000 requests in 0.85s
- **Lightweight**, anecodotally I experienced (on my laptop's i7 6700K, 8 threads):
- memory usage of 8.6 MB
- 0.0% CPU usage idle
- <1% CPU on average
- 1000 requests in parallel completed in 0.85s which spiked CPU usage to 7%
### Safety