Carpentry pilot Workshop (Online): Introduction to Conda for (Data) Scientists

Conda is an open source package and environment management system. This workshop is for you who wants to learn more about use of Conda as a development tool for building and sharing project specific software environments that facilitate reproducible (data) science workflows.

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Full course Information 

Read the full course information on the workshop website.

Who this workshop is for?

    Target audience

    • Graduate students and other researchers who:
      • are writing or about to start writing codes as a part of your research work
      • need to run codes written by others.
    • Especially recommended to Python users or users to be. NB! This workshop is NOT teaching Python

    Prerequisites

    • Basic knowledge of Bash / Unix Shell: You should be able to start a terminal, navigate to different directories, edit and manipulate files, and run commands which we provide. Setup instructions will help you get started with the terminal, and going through shell crash course is sufficient for this workshop.
    • Having necessary setup shown in this instruction page.
    • Being aware of Python-heavy examples and exercises.
    • Being able to use Zoom (the latest version of client).
    • Connection to stable internet.

    Registration

    There are 4 registration types in this workshop:

    1. Team learner; if you are teaming up with others (like colleagues, project team, or friends) and have at least one exercise leader in your team, choose this option. When team exercise leader's sign-up is approved, team learners' sign-ups are also to be approved.
    2. Team exercise leader; if you are teaming up with others and you can lead the breakout room session for exercise with your team members, choose this option. If you have previous knowledge and experience with Conda or relevant package and environment management system, it is sufficient to be an exercise leader.
    3. Individual learner; if you are not teaming up with anyone and have no previous experiences with Conda or relevant package and environment management system, choose this option. Note that the priority criteria may apply to this type of application.
    4. Individual exercise leader; if you are not teaming up with anyone and have previous experiences with and knowledge about Conda or relevant package and environment management system, choose this option.

    You will receive an automatic email to confirm your registration upon sign-up. Besides this automatic email, we will send a separate email to those who we could offer a seat at the workshop.

    When we receive more sign-ups by individual learners than our capacity allows, priority is given to these institutions.

    • UiO or OUS.
    • UiT: The Arctic University of Norway
    • Finnish Geospatial Research Institute FGI 
    • Aalto University

    Contact

    support@coderefinery.org

    Published July 2, 2021 10:32 AM - Last modified Mar. 11, 2024 11:01 AM