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Jun 5, 2020 - Python
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Jun 7, 2020 - JavaScript
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Jun 7, 2020 - JavaScript
Capture the Flag
May 06, 2020 - June 12, 2020 • Online
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Jun 7, 2020 - C++
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Jun 7, 2020 - Dockerfile
gitpod.io
Gitpod is the online IDE for GitHub.
It launches a complete dev environment for any GitHub project, by simply prefixing the GitHub URL with gitpod.io/#.
Install this app and prebuild your project, so you don't have to wait for your build to download the internet when starting a Gitpod workspace.
Gitpod is the first IDE that builds your project before you even open it.
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Jun 5, 2020 - Java
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Jun 7, 2020 - Python
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May 29, 2020 - Java
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Jun 5, 2020 - Shell
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Jun 7, 2020 - Go
Contributing.md doesn't doesn't appear to contain any actual guidlines, and the link only leads back to the same document: Java/CONTRIBUTING.md.
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Jun 7, 2020 - Python
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Jun 7, 2020 - C++
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I think "outputs [-1]" and "outputs [0]" are equivalent (reversed) in this line of code, but the former (89%) works better than the latter (86%). Why?
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Apr 29, 2020 - Jupyter Notebook
There are some interesting algorithms in simulation from Physics, Chemistry, and Engineering especially regarding Monte Carlo simulation: Heat Bath algorithm, Metro-Police algorithm, Markov Chain Monte Carlo, etc.
Skill Set Challenge!
Hudson & Thames has provided the following skillset challenge to allow potential researchers to gauge if they have the required skil
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Jun 7, 2020 - Python
TestQuality
TestQuality's GitHub Test Management extends Github to provide powerful and modern test plan management helping developers and testers create, run, coordinate and monitor software testing tasks. TestQuality's live 2-way integration with GitHub seamlessly extends workflows so you can create, update, delete, and link defects and requirements in your GitHub repos without leaving your testing or dev workflows. TestQuality is FREE for GitHub public repo’s and affordable for private repo's.

Right now, the integration test use the movie dataset. This is an issue because this dataset is unnessecarily big for testing purpose and thus drastically slows down running the test suite. I suggest we use a smaller dataset (< 100 entries) to improve our CI time.