Merge branch 'master' of github.com:BrainhackMTL/psy6983_2021

README.md

@@ -1,5 +1,5 @@
 # Brainhack School
-[![Netlify Status](https://api.netlify.com/api/v1/badges/0cd08655-9ad0-49be-ae4f-7e1cd78ebe33/deploy-status)](https://app.netlify.com/sites/pedantic-perlman-78c464/deploys)
+[![Netlify Status](https://api.netlify.com/api/v1/badges/4bc0bac4-8f69-4d6e-b214-8c7b7ebfa1d5/deploy-status)](https://app.netlify.com/sites/suspicious-golick-ab329b/deploys)
 
 This is the website of the brainhack school, built with [hugo](https://gohugo.io/), and deployed with [netlify](https://www.netlify.com/). 
 

content/en/modules/containers/index.md

@@ -0,0 +1,54 @@
+---
+type: "modules" # DON'T TOUCH THIS ! :)
+
+# Title of your project (we like creative title)
+title: "Containers"
+
+# Your project GitHub repository URL
+github_repo:
+
+# If you are working on a project that has website, indicate the full url including "https://" below or leave it empty.
+website:
+
+# List +- 4 keywords that best describe your project within []. Note that the project summary also involves a number of key words. Those are listed on top of the [github repository](https://github.com/PSY6983-2021/project_template), click `manage topics`.
+# Please only lowercase letters
+tags: [containers, docker, singularity]
+
+# Summarize your project in < ~75 words. This description will appear at the top of your page and on the list page with other projects..
+
+summary: "The objectives of this module are to explore and get to know more about the container system (file system and processes) and understand that 'containers aren't magic'"
+
+# If you want to add a cover image (listpage and image in the right), add it to your directory and indicate the name
+# below with the extension.
+image: "containers.jpg"
+---
+<!-- This is an html comment and this won't appear in the rendered page. You are now editing the "content" area, the core of your description. Everything that you can do in markdown is allowed below. We added a couple of comments to guide your through documenting your progress. -->
+
+## Information
+
+The estimated time to complete this training module is 3h.
+
+The prerequisites to take this module are:
+ * the [installation](/modules/installation) module.
+ * the [introduction to the terminal](/modules/introduction_to_terminal/) module.
+
+Contact Desiree Lussier if you have questions on this module, or if you want to check that you completed successfully all the exercises.
+
+## Resources
+This module consists of a video by Tristan Glatard that was originally presented at BrainHack School 2020 and notebook by Tristan Glatard containing links to content by Julia Evans.
+
+The notebook may be found [here](https://github.com/glatard/containers/blob/master/Containers%20are%20not%20magic.ipynb).
+
+The video presentation is available here:
+<iframe width="560" height="315" src="https://www.youtube.com/embed/UFE1D8PBK1A" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
+## Exercise
+
+ * Watch the video presentation.
+ * Complete the notebook exercises and review the content.
+ * Follow up with Désirée Lussier to validate you completed the exercise correctly.
+ * 🎉 🎉 🎉 you completed this training module! 🎉 🎉 🎉
+
+## More resources
+
+Documentation for Docker can be found [here](https://www.docker.com/) and Singularity [here](https://sylabs.io/singularity/)

content/en/modules/python_visualization/index.md

@@ -48,7 +48,7 @@ The video of the presentation is available below (1h09):
 
 ## Exercice
 
-For this next part, we will refer to the following [notebook](https://github.com/neurodatascience/course-materials-2020/blob/master/lectures/14-may/01-data-visualization/python_visualization_intro.ipynb)
+For this next part, we will refer to the following [notebook](https://github.com/BrainhackMTL/psy6983_2021/blob/master/content/en/modules/python_visualization/python_visualization_intro_rmv_answ.ipynb)
 
 For example purposes, we will make use of a phenotypic dataset from the ABIDE II consortium. This amazing international multi-site dataset contains data from individuals diagnosed with Autism Spectrum Disorder (ASD) and healthy controls. We will use a version of the phenotypic  [data](http://fcon_1000.projects.nitrc.org/indi/abide/abide_II.html) from a single site (Kennedy Krieger Institute). Thus please download the dataset from the linked resource providing your NITRC credentials. If you don't have one, you can create an account.
 
@@ -75,6 +75,8 @@ For example purposes, we will make use of a phenotypic dataset from the ABIDE II
         Different dx_group should be on each half of each violin
         The x-axis should reflect the different sex categories.
 
+**Exercise 4** Play around and make an interactive plot using plotly and your project data if you have any.
+
 ## More resources
 
 - Other great resources to get started with plotting in python: