Git version control is the most useful tool from which scientists can benefit, not only for developing sotfware but also to collaborate in teams. Learn by doing from real-world examples!
The course Git for Scientists is aimed at groups of up to 10 people that are willing to learn how to achieve a professional workflow and how to collaborate on projects.
We will focus on Git best practices, no advanced programming knowledge is required for this course.
Git for scientists will teach you how to exploit a tool that will help you collaborate, track your changes and document your code.
The open source community has quickly shifted to Github to host their projects. The same technology that powers collaborations among big, decentralized teams, can be powering also your research organization. It doesn't matter if you are in a big or small team, proper use of version control makes your work more efficient and less prone to error.
What you are going to learn:
April session: Tuesday 17th and Monday 23rd.
For 350€, Git for Scientists is the most affordable course in Amsterdam. You will learn how to work with version control, in teams, and with the most useful resources. The course is aimed at scientists, but everyone is welcome to join; contact us if you are in doubt.
The courses are two full days, from 10 am to 5 pm, and lunch is included. Please bring your own laptop; if you don't own one, let us know in advance and we can arrange something for you.
Our courses are given at Meet Berlage, a great location just 5 minutes away from Amsterdam Centraal Station
Do you prefer a course at your own location? Drop us a line at [email protected] or through the form below.
From packages to software and libraries. Discover new tools to become more efficient.
We can develop courses around your own needs. From specific devices to applications.
Join a growing community. Learn how to ask for help and where to look for answers.
Our manuals cover much more than the topics in the class, for you to keep learning on your own.
Learn how to design the structure of your code for making it reusable and extendable
Don't think that everything in the lab is black and white. Learn how to build user interfaces.