📝 add ntoe on logs
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@ -19,7 +19,7 @@
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* **[Setup Dev Machine](setup-dev-machine.md)**
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* **Setup Environments**
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* 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/).
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* Python setup on [Ubuntu Server](https://www.digitalocean.com/community/tutorials/how-to-install-python-3-and-set-up-a-programming-environment-on-an-ubuntu-20-04-server)
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* Deploy using Docker. Docker keeps all your application events separate from OS events.
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* **Setup Version Control**
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* Connect to your repos using [ssh](https://stackoverflow.com/a/65415202/5684214).
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* Install and use [pre-commit hooks](https://pre-commit.com/) on your dev machine
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@ -116,6 +116,10 @@ Context:
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* Do [CodeReviews](https://softwareengineering.stackexchange.com/questions/141005/how-would-you-know-if-youve-written-readable-and-easily-maintainable-code/141010#141010)
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* Use [scrum methodology](https://www.scruminc.com/scrum-glossary/)
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* Test and Production environments must be the same and very well defined: FreeBSD image or Ubunut Docker container
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* **Logs**:
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* Application logs `docker-compose logs`
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* Linux-based OS logs: `/var/log/messages`
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* ssh logs `/var/log/audit/audit.log`
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* **UX/UI**
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* [Understand, Ideate and Test, Implement](https://uxtools.co/challenges/) UX.
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* Avoid [dark patterns](https://darkpatterns.org/types-of-dark-pattern.html)
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@ -128,7 +132,6 @@ Context:
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* Matplotlib [book of examples](https://raw.githubusercontent.com/rougier/scientific-visualization-book/master/pdf/book.pdf)
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* **API**
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* Requesting - use Python-[requests](https://docs.python-requests.org/en/latest/)
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*
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* **Database / DataWarehouse**
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* PostgreSQL ([datetime functs](https://www.postgresql.org/docs/9.1/functions-datetime.html))
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* Consider SQL (but [don't use `select *`](https://tanelpoder.com/posts/reasons-why-select-star-is-bad-for-sql-performance/))
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