### Document Roadmap * [ ] Sections by Project Phase (setup, develop, deploy, deliver) * [ ] Each section has heading, [sections-link](#sections) and at least one bullet point * [ ] Each section should covers fixed topics (version control, systems management, docuementation) * [ ] Information that doesn't fit into phases goes to [_Topic Hierarchy_](#topic-hierarchy) * [ ] Add [Custom utils](https://dev.to/kenbellows/a-few-python-repl-config-tricks-3o6i). ### Sections * [Setup](#setup) ([Version Control](#setup-version-control), [Environments](#setup-server-management), Documentation) * [Develop](#develop) ([Version Control](#develop-with-version-control), Server Management, Documentation) * Deploy * Deliver? ## Develop * **[Setup Dev Machine](setup-dev-machine.md)** * **Setup Environments** * You should be able to run the code and develop without a dedicated server. Get virtualized with [docker-compose](https://docs.docker.com/compose/compose-file/compose-file-v3/). * Deploy using Docker. Docker keeps all your application events separate from OS events. * **Setup Version Control** * Connect to your repos using [ssh](https://stackoverflow.com/a/65415202/5684214). * Install and use [pre-commit hooks](https://pre-commit.com/) on your dev machine * Setup [Travis-CI build testing](https://docs.travis-ci.com/user/customizing-the-build/#building-specific-branches) * Add an [`.EditorConfig` file](https://editorconfig.org/) * **Documentation** * Your repo should have a one-liner for isntallation andd running: (docker-compose.yml + `doco up`) ### Python Developement * Python Standard Library: * [argparse](https://docs.python.org/3/library/argparse.html) to build CLI programs * [pathlib](https://docs.python.org/3/library/pathlib.html) for file-IO * External Modules: * [Invoke](https://www.pyinvoke.org/) & [Fabric](https://www.fabfile.org/) for remote deployment * Writing good python code: * Avoid [code smells](https://refactoring.guru/refactoring/smells) * [pipx](https://pypi.org/project/pipx/) or [pyenv](https://mitelman.engineering/blog/python-best-practice/automating-python-best-practices-for-a-new-project/) for environment management. If the machine has python3.x installed, use [venv](https://docs.python.org/3/library/venv.html) from the standard library. * [Loguru](https://github.com/Delgan/loguru) for logging ### Develop with Version Control ```sh # Git Log A DOG acronym git log --all --decorate --oneline --graph # when you have uncommitted changes git add --patch # check what you've staged git diff --cached # NEW DEVELOPMENT FLOW # clone repo with local_name enables several clones git clone # optional: checkout (i.e switch to) a branch to continue developing from there git checkout # optional if you switched branch on the last step # switched branch: branch out from git checkout git branch git push --set-upstream origin # delete branch locally (-d: normal, -D: force) git branch -D # delete remote git push origin -d # Comparing / Merging two branches git merge --no-commit --no-ff # get file from another branch git checkout -- path/to/dir # delete branches not present on remote git remote prune origin # see all commits that affected somefile git log --follow -- filename # search code in all history git log -S "some_old_varname" --oneline --all ``` ### Submitting multiple PRs * [Interactive rebase](https://stackoverflow.com/questions/35790561/working-while-waiting-for-pending-pr#comment96514430_35793095) * [Rebase & Update PR](https://www.digitalocean.com/community/tutorials/how-to-rebase-and-update-a-pull-request) Context: 1. submit PR for _feature1_ 2. from _feature1_ branch make new branch _feature2_ 3. commit and push _feature2_ changes 4. submit PR 5. Both PRs approved ``` # there should be one or more flows that account for cases where: # -> feature1 gets change requests # -> feature1 is rejected and made obsolete ``` #### Project Infrastructure |Project Infrastructure | Example | |----|----| | Issue / Project tracking | Jira | | Code repository | Github / RedMine | | Knowledge Base / Document Center | Confluence / RedMine | | Docker registry | Docker Hub / Harbor / AWS Contanier Registry | #### Topic Hierarchy * **Documentation** * Use [Google's Markdown Style Guide](https://google.github.io/styleguide/docguide/style.html) for written documentation. * Conceptual graphical documentation as inline embedded images. * Save Matplotlib / Seaborn plots as `.svg`. * Sketches and handwritten illustrations scanned / photographed as `.png`/`.jpg`. * Scanned / photographed illustrations should be cropped, contrast and alligned. * **DevOps** * Do [CodeReviews](https://softwareengineering.stackexchange.com/questions/141005/how-would-you-know-if-youve-written-readable-and-easily-maintainable-code/141010#141010) * Use [scrum methodology](https://www.scruminc.com/scrum-glossary/) * Test and Production environments must be the same and very well defined: FreeBSD image or Ubunut Docker container * **Logs**: * Application logs `docker-compose logs` * Linux-based OS logs: `/var/log/messages` * ssh logs `/var/log/audit/audit.log` * **UX/UI** * [Understand, Ideate and Test, Implement](https://uxtools.co/challenges/) UX. * Avoid [dark patterns](https://darkpatterns.org/types-of-dark-pattern.html) * **Visualization** * problem: it's difficult to include visualization in this workflow but essential to fast prototyping. * Perhaps [text-to-diagram](https://xosh.org/text-to-diagram/) * [AsciiFlow](https://asciiflow.com/#/) * *Spectral*, a [diverging colormap from matplotlib](https://matplotlib.org/3.1.0/tutorials/colors/colormaps.html#diverging). * [Tikz Editor](https://tikzcd.yichuanshen.de) * Matplotlib * [book of examples](https://raw.githubusercontent.com/rougier/scientific-visualization-book/master/pdf/book.pdf) * [cheatsheets](https://matplotlib.org/cheatsheets/) * **API** * JSON API is the easiet API - [follow the rules](https://jsonapi.org/format/#) * Requesting - use Python-[requests](https://docs.python-requests.org/en/latest/) * **Database / DataWarehouse** * [sqlAlchemy usage](https://www.pythonsheets.com/notes/python-sqlalchemy.html) * [Pandas cheatsheet](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf) * PostgreSQL ([datetime functs](https://www.postgresql.org/docs/9.1/functions-datetime.html)) * Consider SQL (but [don't use `select *`](https://tanelpoder.com/posts/reasons-why-select-star-is-bad-for-sql-performance/)) * Be aware of [feature casualties of large databases](https://web.dev/streams/) * [Data Science - Hierarchy of Needs](https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007) * **Security** * Audit [security](https://hangar.tech/posts/our-dsq/) * Understand [SSH tunnels](https://robotmoon.com/ssh-tunnels/) * [Anticipatory Failure Determination](https://historyofyesterday.com/suppose-i-wanted-to-kill-a-lot-of-pilots-f126bbc756fa) * [Secret Management for APIs](https://blog.gitguardian.com/secrets-api-management/) * **Programming Personalizations** * Code-tags ([PEP-0350](https://www.python.org/dev/peps/pep-0350/#mnemonics)) * vscode tip: turn off _openDiffOnClick_ * [git bash solarized :sun_with_face:](https://github.com/speedpacer/gitbash_solarized/issues) * [Music for programming](https://www.musicforprogramming.net) * [OpenStack](https://docs.openstack.org/hacking/latest/user/hacking.html#styleguide): Linting and Pre-commit Hooks * **Deploying** * Virtualize Everything! [Awesome-Compose](https://github.com/docker/awesome-compose). * **AI / ML / Modelling** * [open source cousin to GPL3](https://github.com/kingoflolz/mesh-transformer-jax) * [Machine Learning Master](https://machinelearningmastery.com/) is a great resource! * **Philosophy / Mindset / Principles** * [the-importance-of-humility-in-software-development](https://humbletoolsmith.com/2020/08/10/the-importance-of-humility-in-software-development/) * _doing it right_ vs _doing it on time_ * Closed Source Software: If you cannot check what it does / how it works, do not use it for the sake of security. * [Software Design X Dieter Rams](https://github.com/zedr/dieter-rams-10-applied-to-software) * **Collaboration / Working in a team** * [SPACE (satification, performance, activity, communication, efficiency)](https://queue.acm.org/detail.cfm?id=3454124) * [Google's Four DevOp KPIs](https://cloud.google.com/blog/products/devops-sre/using-the-four-keys-to-measure-your-devops-performance) * Details about [pair programming](https://martinfowler.com/articles/on-pair-programming.html) * Is [extreme programming](http://www.extremeprogramming.org/) a thing? * Collaboration (tools: [csvbox](https://csvbox.io/), [pyodide](https://github.com/pyodide/pyodide)) * Resolve [Joel's 12 Questions](https://www.joelonsoftware.com/2000/08/09/the-joel-test-12-steps-to-better-code/) * keeping the repo nice ![Coverage badge][coverage-badge] * keep repo nice with [makefile](https://makefiletutorial.com/) * **Misc** * [Things you should do now](https://secure.phabricator.com/book/phabflavor/article/things_you_should_do_now/) * Follow [naming conventions](https://visualgit.readthedocs.io/en/latest/pages/naming_convention.html) * Follow [software engineering laws](https://www.netmeister.org/blog/software-engineering-laws.html) * There's some gold nuggets this [reddit post](https://old.reddit.com/r/ExperiencedDevs/comments/nmodyl/drunk_post_things_ive_learned_as_a_sr_engineer/) * Mac Software * [Lulu Firewall](https://objective-see.com/products/lulu.html) * [NightOwal](https://nightowl.kramser.xyz/) [coverage-badge]: https://img.shields.io/badge/Coverage-100%25-brightgreen.svg