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\n\t

\n\t\t $\"CircleCI$ \n\t\t $\"Docker$ \n\t\t $\"Python$ \n\t

\n\t

CircleCI Convenience Images => Python

\n\t

A Continuous Integration focused Python Docker image built to run on CircleCI

\n\n[![CircleCI Build Status](https://circleci.com/gh/CircleCI-Public/cimg-python.svg?style=shield)](https://circleci.com/gh/CircleCI-Public/cimg-python) [![Software License](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/CircleCI-Public/cimg-python/master/LICENSE) [![Docker Pulls](https://img.shields.io/docker/pulls/cimg/python)](https://hub.docker.com/r/cimg/python) [![CircleCI Community](https://img.shields.io/badge/community-CircleCI%20Discuss-343434.svg)](https://discuss.circleci.com/c/ecosystem/circleci-images) [![Repository](https://img.shields.io/badge/github-README-brightgreen)](https://github.com/CircleCI-Public/cimg-python)\n\n***This image is designed to supercede the legacy CircleCI Python image, `circleci/python`.***\n\n`cimg/python` is a Docker image created by CircleCI with continuous integration builds in mind.\nEach tag contains a complete Python version via pyenv.\npip, pipenv, and poetry are pre-installed, and any binaries and tools that are required for builds to complete successfully in a CircleCI environment.\n\n\n## Table of Contents\n\n- [Getting Started](#getting-started)\n- [How This Image Works](#how-this-image-works)\n- [Development](#development)\n- [Contributing](#contributing)\n- [Additional Resources](#additional-resources)\n- [License](#license)\n\n\n## Getting Started\n\nThis image can be used with the CircleCI `docker` executor.\nFor example:\n\n```yaml\njobs:\n build:\n docker:\n - image: cimg/python:3.8\n steps:\n - checkout\n - run: python --version\n```\n\nIn the above example, the CircleCI Python Docker image is used as the primary container.\nMore specifically, the tag `3.8` is used meaning the version of Python will be Python v3.8.\nYou can now use Python within the steps for this job.\n\n\n## How This Image Works\n\nThis image contains the Python programming language as well as pip, pipenv, and poetry.\nThe interpreter is provided via pyenv allowing you to change the Python version during a build as well.\n\n### Variants\n\nVariant images typically contain the same base software, but with a few additional modifications.\n\n#### Node.js\n\nThe Node.js variant is the same Python image but with Node.js also installed.\nThe Node.js variant can be used by appending `-node` to the end of an existing `cimg/python` tag.\n\n```yaml\njobs:\n build:\n docker:\n - image: cimg/python:3.7-node\n steps:\n - checkout\n - run: python --version\n - run: node --version\n```\n\n#### Browsers\n\nThe browsers variant is the same Python image but with Node.js, Java, Selenium, and browser dependencies pre-installed via apt.\nThe browsers variant can be used by appending `-browser` to the end of an existing `cimg/python` tag.\nThe browsers variant is designed to work in conjunction with the [CircleCI Browser Tools orb](https://circleci.com/developer/orbs/orb/circleci/browser-tools).\nYou can use the orb to install a version of Google Chrome and/or Firefox into your build. The image contains all of the supporting tools needed to use both the browser and its driver.\n\n```yaml\norbs:\n browser-tools: circleci/browser-tools@1.1\n\njobs:\n build:\n docker:\n - image: cimg/python:3.7-browsers\n steps:\n - browser-tools/install-browser-tools\n - checkout\n - run: |\n python --version\n node --version\n java --version\n google-chrome --version\n```\n\n### Tagging Scheme\n\nThis image has the following tagging scheme:\n\n```\ncimg/python:[-variant]\n```\n\n`` - The version of Python to use.\nThis can be a full SemVer point release (such as `3.8.1`) or just the minor release (such as `3.8`).\nIf you use the minor release tag, it will automatically point to future patch updates as they are released by the Python project.\nFor example, the tag `3.8` points to Python v3.8.5 now, but when the next release comes out, it will point to Python v3.8.6.\n\n`[-variant]` - Variant tags, if available, can optionally be used.\nFor example, the Node.js variant could be used like this: `cimg/python:3.7-node`.\n\n\n## Development\n\nImages can be built and run locally with this repository.\nThis has the following requirements:\n\n- local machine of Linux (Ubuntu tested) or macOS\n- modern version of Bash (v4+)\n- modern version of Docker Engine (v19.03+)\n\n### Cloning For Community Users (no write access to this repository)\n\nFork this repository on GitHub.\nWhen you get your clone URL, you'll want to add `--recurse-submodules` to the clone command in order to populate the Git submodule contained in this repo.\nIt would look something like this:\n\n```bash\ngit clone --recurse-submodules \n```\n\nIf you missed this step and already cloned, you can just run `git submodule update --recursive` to populate the submodule.\nThen you can optionally add this repo as an upstream to your own:\n\n```bash\ngit remote add upstream https://github.com/CircleCI-Public/cimg-python.git\n```\n\n### Cloning For Maintainers ( you have write access to this repository)\n\nClone the project with the following command so that you populate the submodule:\n\n```bash\ngit clone --recurse-submodules git@github.com:CircleCI-Public/cimg-python.git\n```\n\n### Generating Dockerfiles\n\nDockerfiles can be generated for a specific Python version using the `gen-dockerfiles.sh` script.\nFor example, to generate the Dockerfile for Python v3.7.7, you would run the following from the root of the repo:\n\n```bash\n./shared/gen-dockerfiles.sh 3.7.7\n```\n\nThe generated Dockerfile will be located at `./3.7/Dockefile`.\nTo build this image locally and try it out, you can run the following:\n\n```bash\ncd 3.7\ndocker build -t test/python:3.7.7 .\ndocker run -it test/python:3.7.7 bash\n```\n\n### Building the Dockerfiles\n\nTo build the Docker images locally as this repository does, you'll want to run the `build-images.sh` script:\n\n```bash\n./build-images.sh\n```\n\nThis would need to be run after generating the Dockerfiles first.\nWhen releasing proper images for CircleCI, this script is run from a CircleCI pipeline and not locally.\n\n\n### Submitting a Pull Request\n\nEnsure all the changes to the versioned Dockerfiles and the `build-images.sh` have been reverted, leaving only the `Dockerfile.template` as the modified file. These will have been modified while testing with the sections above.\nThe specific versions will be included when the images are released.\n\n### Publishing Official Images (for Maintainers only)\n\nThe individual scripts (above) can be used to create the correct files for an image, and then added to a new git branch, committed, etc.\nA release script is included to make this process easier.\nTo make a proper release for this image, let's use the fake Python version of v99.9.9, you would run the following from the repo root:\n\n```bash\n./shared/release.sh 99.9.9\n```\n\nThis will automatically create a new Git branch, generate the Dockerfile(s), stage the changes, commit them, and push them to GitHub.\nThe commit message will end with the string `[release]`.\nThis string is used by CircleCI to know when to push images to Docker Hub.\nAll that would need to be done after that is:\n\n- wait for build to pass on CircleCI\n- review the PR\n- merge the PR\n\nThe main branch build will then publish a release.\n\n### Incorporating Changes\n\nHow changes are incorporated into this image depends on where they come from.\n\n**build scripts** - Changes within the `./shared` submodule happen in its [own repository](https://github.com/CircleCI-Public/cimg-shared).\nFor those changes to affect this image, the submodule needs to be updated.\nTypically like this:\n\n```bash\ncd shared\ngit pull\ncd ..\ngit add shared\ngit commit -m \"Updating submodule for foo.\"\n```\n\n**parent image** - By design, when changes happen to a parent image, they don't appear in existing Python images.\nThis is to aid in \"determinism\" and prevent breaking customer builds.\nNew Python images will automatically pick up the changes.\n\nIf you *really* want to publish changes from a parent image into the Python image, you have to build a specific image version as if it was a new image.\nThis will create a new Dockerfile and once published, a new image.\n\n**Python specific changes** - Editing the `Dockerfile.template` file in this repo is how to modify the Python image specifically.\nDon't forget that to see any of these changes locally, the `gen-dockerfiles.sh` script will need to be run again (see above).\n\n\n## Contributing\n\nWe encourage [issues](https://github.com/CircleCI-Public/cimg-python/issues) to and [pull requests](https://github.com/CircleCI-Public/cimg-python/pulls) against this repository however, in order to value your time, here are some things to consider:\n\n1. We won't include just anything in this image. In order for us to add a tool within the Python image, it has to be something that is maintained and useful to a large number of Pythonistas (Python developers). Every tool added makes the image larger and slower for all users so being thorough on what goes in the image will benefit everyone.\n1. PRs are welcome. If you have a PR that will potentially take a large amount of time to make, it will be better to open an issue to discuss it first to make sure it's something worth investing the time in.\n1. Issues should be to report bugs or request additional/removal of tools in this image. For help with images, please visit [CircleCI Discuss](https://discuss.circleci.com/c/ecosystem/circleci-images).\n\n\n## Additional Resources\n\n[CircleCI Docs](https://circleci.com/docs/) - The official CircleCI Documentation website.\n[CircleCI Configuration Reference](https://circleci.com/docs/2.0/configuration-reference/#section=configuration) - From CircleCI Docs, the configuration reference page is one of the most useful pages we have.\nIt will list all of the keys and values supported in `.circleci/config.yml`.\n[Docker Docs](https://docs.docker.com/) - For simple projects this won't be needed but if you want to dive deeper into learning Docker, this is a great resource.\n\n\n## License\n\nThis repository is licensed under the MIT license.\nThe license can be found 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