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new docker and vuejs resources
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content/pages/04-web-development/25-vuejs.markdown

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@@ -14,3 +14,15 @@ application framework for building rich apps that run in web browsers.
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<a href="https://vuejs.org/" style="border:none"><img src="/img/logos/vuejs-wide.png" width="100%" alt="Vue.js logo." class="shot"></a>
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<div class="well see-also">Vue.js is an implementation of the <a href="/javascript.html">JavaScript frameworks</a> concept. Learn how these pieces fit together in the <a href="/web-development.html">web development</a> chapter or view the <a href="/table-of-contents.html">table of contents</a> for all topics.</div>
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### Vue.js resources
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* [Building Modern Applications with Django and Vue.js](https://auth0.com/blog/building-modern-applications-with-django-and-vuejs/)
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combines [Django](/django.html),
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[Django REST Framework](/django-rest-framework-drf.html), Vue.js
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and [Auth0](https://auth0.com/)
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(an authentication web [API](/application-programming-interfaces.html))
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in an introductory web application.
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title: macOS
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category: page
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slug: macos
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sortorder: 0515
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toc: False
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sidebartitle: macOS
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meta: macOS is an operating system within the Unix family tree that is developed by Apple and often used for developing Python applications.
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# macOS
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macOS is an [operating system](/operating-system.html)
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within the Unix family tree that is developed by Apple and is often
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used for [developing Python applications](/learning-programming.html).
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content/pages/05-deployment/35-containers.markdown

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# Containers
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Containers are an [operating system](/operating-systems.html)-level
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isolation mechanism for running processes and other system resources from
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other containers and the base system.
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## Are containers new?
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Containers are not conceptually new, dating back to around the 1970s, but
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they gained rapid adoption starting in 2012 when several Linux distributions
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began integrating containers tools generally made it more practical to
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use them. Previously, to use containers a developer would need to use a
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less common operating system or distribution customized with some sort of
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virtual machine feature. Using containers was basically not supported in typical
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deployment scenarios.
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### Containers history and introduction
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The following resources do a great job of explaining where the containers
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concept came from, how they differ from virtual machines and why they are
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useful.
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* [A brief history of containers](https://mesosphere.com/blog/brief-history-containers/)
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has some solid context for why containers have taken off in the last
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several years, including the integration of operating system container
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virtualization in most distributions as well as the creation of management
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tools such as [Docker](/docker.html), Kubernetes, Docker Swarm and
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Mesosphere.
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* [Setting the Record Straight: containers vs. Zones vs. Jails vs. VMs](https://blog.jessfraz.com/post/containers-zones-jails-vms/)
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compares and contrasts the designs of Linux containers, zones, jails
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and virtual machines. Containers typically take advantage of primitives
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but are more complicated because they have more individual parts put
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together while zones and jails are designed as top-level operating
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system components. There are advantages and disadvantages of these
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approaches that you should understand as you use each one.
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* [Containers and Distributed Systems: Where They Came From and Where They’re Going](https://mesosphere.com/blog/containers-distributed-systems/)
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is an interview that digs into the past, present and future of
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containers based on the experience of Chuck McManis who has worked
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on building jails and other process isolation abstractions into
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operating systems.
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* [A Practical Introduction to Container Terminology](https://developers.redhat.com/blog/2018/02/22/container-terminology-practical-introduction/)
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has both some solid introductory information on containers as well as
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a good description of terms such as container host, registry server,
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image layer, orchestration and many others that come up frequently
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when using containers.
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* [Containers from scratch](https://ericchiang.github.io/post/containers-from-scratch/)
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explains how Linux features such as `cgroups`, `chroot` and namespaces
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are used by container implementations.
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* [Running containers without Docker](https://jvns.ca/blog/2016/10/26/running-container-without-docker/)
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reviews a migration path for an organization that already has a bunch of
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infrastructure but sees advantages in using containers. However, the
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author explains why you can use containers without Docker even if you
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eventually plan to use Docker, Kubernetes or other container tools and
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orchestration layer.
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* [mocker](https://github.com/tonybaloney/mocker) is a Docker imitation
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open source project written in all Python which is intended for learning
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purposes.
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### Working with containers
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You can get started using containers once you understand some of the
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terminology and work through a couple of introductory tutorials like the ones
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listed above. Check out the below resources when you want to do more advanced
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configurations and dig deeper into how containers work.
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* [Linux containers in 500 lines of code](https://blog.lizzie.io/linux-containers-in-500-loc.html)
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is a bonkers in-depth post about building your own simplified, but not
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simple version of Docker to learn how it works.
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### Container security resources
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Container security is a hot topic because there are so many ways of screwing
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it up, just like any infrastructure that runs your applications. These
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resources explain security considerations specific to containers.
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* [Building Container Images Securely on Kubernetes](https://blog.jessfraz.com/post/building-container-images-securely-on-kubernetes/)
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discusses some of the issues with building containers and why the
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author created [img](https://github.com/genuinetools/img) as a tool
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to help solve the problems she was seeing.
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content/pages/05-deployment/36-docker.markdown

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clearly delineates what Docker is and what it isn't. This is a good article
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for when you're first wrapping your head around Docker conceptually.
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* [rubber-docker](https://github.com/Fewbytes/rubber-docker) is an open source
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repository and tutorial that shows you how to recreate a simplified version
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of Docker to better understand what it's doing under the hood.
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* [Andrew Baker](https://github.com/atbaker) presented a fantastic tutorial
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at [PyOhio](http://andrewtorkbaker.com/pyohio-docker-101-tutorial) on
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[beginner and advanced Docker usage](https://github.com/atbaker/docker-tutorial).

content/pages/meta/00-change-log.markdown

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## 2019
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### February
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* Added a bunch more [bots](/bots.html) resources.
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* New [data](/data.html) and [data analysis](/data-analysis.html) resources
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added.
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* Refreshed the [relational databases](/databases.html) page with new

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