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Commit 233fb4d

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fixing a ton of broken links
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‎content/pages/03-data/00-data.markdown‎

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have evolved over the past 20ish years based on his first-hand experience
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as a leader and member in that community.
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* [Automated Data Wrangling](https://catalyst.coop/2021/05/23/automated-data-wrangling/)
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covers cleaning, labeling, and automating the bunch of activities
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that are typically necessary before analysis and data usage can
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begin for a project.
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* The [Open Source Data Science Masters](http://datasciencemasters.org/)
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is a well-crafted free curriculum and set of resources for students who
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want to learn both the theory and technologies for working with data.

‎content/pages/04-web-development/11-template-engines.markdown‎

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existing template engine design as well as how to build your own engine
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when that's necessary for your projects.
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* [Writing a Jinja-inspired template library in Python](https://notes.eatonphil.com/writing-a-template-library-in-python.html)
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walks through how to create your own a simplified version of the
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[Jinja](/jinja2.html) template engine as a learning exercise.
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* [How a template engine works](https://fengsp.github.io/blog/2016/8/how-a-template-engine-works/)
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uses the template module in Tornado as an example to step through how
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a template engine produces output, from parsing the incoming string to

‎content/pages/04-web-development/31-static-site-generator.markdown‎

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These guides walk through various ways of handling the static site
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deployment.
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* [Static site hosting with S3 and Cloudflare](https://wsvincent.com/static-site-hosting-with-s3-and-cloudflare/)
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shows how to set up an S3 bucket with Cloudflare in front as a CDN that
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serves the content with HTTPS. You should be able to accomplish roughly
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the same situation with Amazon Cloudfront, but as a Cloudflare user I
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like their service for these static site configurations.
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* Google Cloud provides a tutorial on how to use them to
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[host your static site](https://cloud.google.com/storage/docs/hosting-static-website).
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Note that you cannot currently use HTTPS on Google Storage servers, which is a
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making static site deployments and redeployments to Amazon Web Services
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easier.
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* [Deploying a Static Blog with Continuous Integration](https://www.loxodrome.io/post/hugo-on-ci/)
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* [Deploying a Static Blog with Continuous Integration](https://www.jameslmilner.com/post/hugo-on-ci/)
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uses a Hugo (a Golang-based static site generator) generated site
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as an example but the instructions can easily be used to deploy
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a Python-based static site generator output as well.

‎content/pages/04-web-development/35-testing.markdown‎

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provides a whole code example based on a blog project that shows
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how to use `mock` when testing.
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* [Python Mocking 101: Fake It Before You Make It](https://blog.fugue.co/2016-02-11-python-mocking-101.html)
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* [Python Mocking 101: Fake It Before You Make It](https://www.fugue.co/blog/2016年02月11日-python-mocking-101)
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explains what mocking is and is not, and shows how to use the `patch`
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function to accomplish it in your project.
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[Revisiting Unit Testing and Mocking in Python](https://blog.fugue.co/2017-07-18-revisiting-unit-testing-and-mocking-in-python.html)
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[Revisiting Unit Testing and Mocking in Python](https://www.fugue.co/blog/2017-07-18-revisiting-unit-testing-and-mocking-in-python.html)
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is a follow-up post that expands upon using the `patch` function
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along with dependency injection.
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examines when mocks are necessary and when they are not as useful
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so you can avoid them in your test cases.
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* [Mocking Redis & Expiration in Python](http://malexandre.fr/2017/10/08/mocking-redis--expiration-in-python/)
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is a specific scenario where you would want to test your
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[Redis](/redis.html)-dependent code but prefer to mock it rather than
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ensure an installation and connection are present whenever you run
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your tests.
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* [Better tests for Redis integrations with redislite](https://www.obeythetestinggoat.com/better-tests-for-redis-integrations-with-redislite.html)
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is a great example of how using the right mocking library can clean
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up existing hacky testing code and make it more straightforward for

‎content/pages/04-web-development/37-integration-testing.markdown‎

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gives an example of a system that needs integration tests and shows how
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context managers can be used to address the problem.
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* Pytest has a page on [integration good practices](http://doc.pytest.org/en/latest/goodpractices.html)
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that you'll likely want to follow when testing your application.
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* [Integration testing, or how to sleep well at night](http://enterprisecraftsmanship.com/2015/07/13/integration-testing-or-how-to-sleep-well-at-nights/)
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explains what integration tests are and gives an example. The example is
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coded in Java but still relevant when you're learning about integration

‎content/pages/04-web-development/41-https.markdown‎

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cover the high-level information on the latest approved version of
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Transport Security Layer (TLS) 1.3.
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* [How https works](https://www.sudhakar.online/programming/2015/08/09/https.html)
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is a fun cartoon illustration that demonstrates the basic concepts of
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a secure HTTP connection.
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‎content/pages/04-web-development/44-web-apis.markdown‎

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provides context for why JSON-based web services are more common today than
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SOAP which was popular in the early 2000s.
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* [API tools for every occasion](https://medium.com/@orliesaurus/api-tools-for-every-occasion-10-api-tools-released-in-2015-i-can-t-live-without-d5947d9ca9c3)
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provides a list of 10 tools that are really helpful when working with APIs
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that are new in 2015.
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## APIs learning checklist
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1. Learn the API concepts of machine-to-machine communication with JSON and

‎content/pages/05-deployment/22-wsgi-servers.markdown‎

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is a good read to understand basic information about various WSGI server
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implementations.
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* A thorough and informative post for LAMP-stack hosting choices is
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presented in the
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"[complete single server Django stack tutorial](http://www.apreche.net/complete-single-server-django-stack-tutorial/)."
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* [What is WSGI and Why Do You Need Gunicorn and Nginx in Django](https://apirobot.me/posts/what-is-wsgi-and-why-do-you-need-gunicorn-and-nginx-in-django)
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explains the breakdown between a [web server](/web-servers.html)
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and a WSGI server in an application deployment environment.
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* The Python community made a long effort to
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[transition from mod\_python](http://blog.dscpl.com.au/2010/05/modpython-project-soon-to-be-officially.html)

‎content/pages/05-deployment/23-gunicorn.markdown‎

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documentation each contain instructions for deploying the respective
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frameworks with Gunicorn.
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* [Dockerizing Django with Postgres, Gunicorn, and Traefik](https://testdriven.io/blog/django-docker-traefik/)
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is a more advanced tutorial with a complete project deployment
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that uses Gunicorn within [Docker](/docker.html).
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* [Set up Django, Nginx and Gunicorn in a Virtualenv controled by Supervisor](https://gist.github.com/Atem18/4696071)
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is a GitHub Gist with some great explanations for why we're setting up
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virtualenv and what to watch out for while you're doing the deployment.

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