Data science and Jupyter notebook can sometimes get exhausting. What about debugging, version control, code reviewing and so on. Coming from a Software Engineering background it‘s like losing 50% of the stuff you were used to.
To mitigate those problems I recently partially switched from Python to R with many improvements. For local Python coding, JetBrains PyCharm is my tool of choice and Jupyter notebooks for remote coding. With R it is RStudio Desktop and for remote, there is RStudio Server, which is almost like the desktop version within a browser. This allows one to develop and analyze data from any device with a browser.
Docker is the world leading software containerization platform. I tried using GitLab as versioncontrol system and Jenkings as continuos integration system but the system turned out as not completly useful.
In that way a colleague told me about a system he wants to create based on Docker.
What we want:
a git system under ouer control
a continuos integration that is flexible and customizable
every system available per SSL connection
Git Service -> GoGs – Go Git Service
It’s a simple self-hosted Git servise.
easy to install, cross-platform, lightweight and OpenSourse
It contains everything importent to develop something in collaboration.