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    Building fully reproducible data science environments for R and Python with ease using Nix, rix, and rixpress workshop

    Dariia Mykhailyshyna发表于 2025-05-20 14:57:41
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    [This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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    Join our workshop on Building fully reproducible data science environments for R and Python with ease using Nix, rix, and rixpress, which is a part of our workshops for Ukraine series! 


    Here’s some more info: 

    Title: Building fully reproducible data science environments for R and Python with ease using Nix, rix, and rixpress

    Date: Friday, June 20th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

    Speaker: Bruno Rodrigues. Bruno is currently employed as the head of the statistics department at the Ministry of Higher education and Research in Luxembourg. Before joining the public sector, Bruno worked as a data science consultant in one of the big four accounting companies, and before that as a teaching and research assistant. Bruno discovered tools such as Git and software carpentry techniques while working on his PhD. These tools and techniques served him well for the past decade, and Bruno has been consistently sharing his knowledge on his blog during that time.


    Description: Reproducibility is a critical aspect of modern research, ensuring that results can be consistently replicated and verified by others. In this presentation, Bruno Rodrigues will introduce participants to Nix, a package manager that focuses on reproducible builds. Unlike other solutions, Nix ensures that all dependencies—R and/or Python itself, R and/or Python packages, and system libraries—are precisely versioned and isolated. While Docker provides containerized environments, Nix complements it by guaranteeing deterministic builds within those containers, eliminating issues related to hidden dependencies and environment drift.  Participants will also be introduced to {rix} and {rixpress} which are R packages  designed to simplify Nix usage. 


    Minimal registration fee: 20 euro (or 20 USD or 800 UAH)



    Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registration


    How can I register?


    • Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or  https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.

    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

    If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


    How can I sponsor a student?

    • Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!

    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


    If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



    You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


    Looking forward to seeing you during the workshop!


    Building fully reproducible data science environments for R and Python with ease using Nix, rix, and rixpress workshop was first posted on May 20, 2025 at 2:57 pm.
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