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# Supported tags and respective `Dockerfile` links
- [`4.0.0.4` (*4.0.0.4/Dockerfile*)](https://github.com/fsprojects/docker-fsharp/blob/f063b22fc1e9f3d78e025f3a3842299721cd78bf/4.0.0.4/Dockerfile)
- [`4.0.1.1`, `latest` (*4.0.1.1/Dockerfile*)](https://github.com/fsprojects/docker-fsharp/blob/1a01ecbe00ef0c1399893ed5cda40c197614f48d/4.0.1.1/Dockerfile)
[![](https://badge.imagelayers.io/fsharp:latest.svg)](https://imagelayers.io/?images=fsharp:4.0.0.4,fsharp:4.0.1.1)
For more information about this image and its history, please see [the relevant manifest file (`library/fsharp`)](https://github.com/docker-library/official-images/blob/master/library/fsharp). This image is updated via [pull requests to the `docker-library/official-images` GitHub repo](https://github.com/docker-library/official-images/pulls?q=label%3Alibrary%2Ffsharp).
For detailed information about the virtual/transfer sizes and individual layers of each of the above supported tags, please see [the `fsharp/tag-details.md` file](https://github.com/docker-library/docs/blob/master/fsharp/tag-details.md) in [the `docker-library/docs` GitHub repo](https://github.com/docker-library/docs).
# What is F#?
F# (pronounced F sharp) is a strongly typed, multi-paradigm programming language that encompasses functional, imperative, and object-oriented programming techniques. F# is most often used as a cross-platform CLI language, but can also be used to generate JavaScript and GPU code.
> [wikipedia.org/wiki/F Sharp (programming language)](https://en.wikipedia.org/wiki/F_Sharp_%28programming_language%29)
![logo](https://raw.githubusercontent.com/docker-library/docs/7d8c02340482b7f0c08c9fa7dc534d72314d3a22/fsharp/logo.png)
# How to use this image
## Start your application inside this image
The most straightforward way to use this image is to use it both as the build and runtime environment. In your `Dockerfile`, you can write something similar to the following:
```dockerfile
FROM fsharp:latest
COPY . /app
RUN xbuild /app/myproject.sln
```
This will copy your application source code into the image and use `xbuild` to build it.
# License
View [the Apache 2.0 license](https://github.com/fsharp/fsharp/blob/d518f91418ef43a61875a5d932147b97fd0f47f3/LICENSE) for the software contained in this image.
# Supported Docker versions
This image is officially supported on Docker version 1.11.2.
Support for older versions (down to 1.6) is provided on a best-effort basis.
Please see [the Docker installation documentation](https://docs.docker.com/installation/) for details on how to upgrade your Docker daemon.
# User Feedback
## Documentation
Documentation for this image is stored in the [`fsharp/` directory](https://github.com/docker-library/docs/tree/master/fsharp) of the [`docker-library/docs` GitHub repo](https://github.com/docker-library/docs). Be sure to familiarize yourself with the [repository's `README.md` file](https://github.com/docker-library/docs/blob/master/README.md) before attempting a pull request.
## Issues
If you have any problems with or questions about this image, please contact us through a [GitHub issue](https://github.com/fsprojects/docker-fsharp/issues). If the issue is related to a CVE, please check for [a `cve-tracker` issue on the `official-images` repository first](https://github.com/docker-library/official-images/issues?q=label%3Acve-tracker).
You can also reach many of the official image maintainers via the `#docker-library` IRC channel on [Freenode](https://freenode.net).
## Contributing
You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.
Before you start to code, we recommend discussing your plans through a [GitHub issue](https://github.com/fsprojects/docker-fsharp/issues), especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.