Training eSupport System
  • Log In
    • Log in with UmbrellaID
    • Log in with Helmholtz AAI
    • Login
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Learning paths
  • Spaces
  • Directory
    • Providers

PaN-Training makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Algorithms1
    • Computer programming1
    • Data structures1
    • Programming languages1
    • Software development1
    • Software engineering1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS3
    • Show N_FILTERS more
    • Keyword
    • FAIR Data2
    • Workflows2
    • and Research2
    • Foundations of Data Science1
    • Python1
    • SQL1
    • jupyter-notebook1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner2
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International3
    • Show N_FILTERS more
    • Target audience
    • Students3
    • Show N_FILTERS more
    • Author
    • Avans Hogeschool1
    • Cristina Martins Rodrigues1
    • Dominik Brilhaus1
    • Helena Rasche1
    • Kevin Frey1
    • Martin Kuhl1
    • Peter Sefton1
    • Sabrina Zander1
    • Saskia Hiltemann1
    • Stella Eggels1
    • Stian Soiland-Reyes1
    • The Carpentries1
    • Show N_FILTERS more
    • Contributor
    • Helena Rasche
    • The Carpentries Incubator12
    • MolSSI Education4
    • Fred Hutch Data Science Lab3
    • SIB Swiss Institute of Bioinformatics3
    • Sundeep Agarwal3
    • posit-dev3
    • Allen Downey2
    • AstraZeneca2
    • Data Carpentry2
    • Google2
    • Jake Vanderplas2
    • NBIS - National Bioinformatics Infrastructure Sweden2
    • PyMC Labs2
    • Saskia Hiltemann2
    • Scott Reed2
    • Sergio Martínez Cuesta2
    • posit::conf(2024)2
    • @SUNET1
    • @UTAustin1
    • @foss421
    • @posit-dev1
    • @posit-pbc1
    • @pydantic1
    • @rstudio @UBC-DSCI @UBC-MDS1
    • Akuli1
    • Alex Hall1
    • Ankit Mahato1
    • Anthony Bretaudeau1
    • Armin Dadras1
    • Björn Grüning1
    • Boas Pucker1
    • British Ecological Society Better Science Guides1
    • Carnegie Mellon1
    • Charles Severance1
    • Coding For Reproducible Research (CfRR)1
    • Daniel Chen1
    • Data Science in Practice1
    • Decathlon Digital - @dktunited1
    • Emil Hvitfeldt1
    • FAIR-by-Design-Methodology1
    • FAIRplus1
    • Girls Who Code at U-M DCMB1
    • Gray Lab1
    • Greg Malcolm1
    • Guillaume Gautier1
    • Hacking for Science1
    • Hamel Husain1
    • Icahn School of Medicine at Mount Sinai1
    • Inria1
    • Insee1
    • Jean de Dieu Nyandwi1
    • Jeffrey Hu1
    • Jose A Dianes1
    • João Ventura1
    • Kevin Heavey1
    • Kushal Das1
    • Kyran Dale1
    • LiaPlayground1
    • Lino Galiana1
    • Liquid AI1
    • Marius van den Beek1
    • Martin Čech1
    • Max Planck Institute for Astronomy1
    • Maxime Labonne1
    • Michael Pyrcz1
    • Navid Nobani1
    • Neuromatch Academy1
    • Nina Buchina1
    • OBOAcademy1
    • Oleksii Trekhleb1
    • OpenSciency1
    • OpenTechSchool1
    • Parlance Labs1
    • Peter van Heusden1
    • Plant Biotechnology and Bioinformatics, Institute of Cellular and Molecular Botany (IZMB), University of Bonn1
    • Plants&Python1
    • Python Packages1
    • Queen Mary University of London, School of Business and Management1
    • Rami Krispin1
    • Real Python1
    • Rohan Alexander1
    • S.Lott1
    • SciLifeLab-Training1
    • Sebastian Raschka1
    • Shawn Rhoads1
    • SoftUni1
    • Software Carpentry1
    • Swaroop CH1
    • Talk Python1
    • The Algorithms1
    • UC Berkeley Data 1001
    • UC Berkeley Data 81
    • UW Interactive Data Lab1
    • Uber1
    • University of Michigan1
    • University of Milan-Bicocca1
    • VIB Technologies: Training material and software projects1
    • Valentin Danchev1
    • Waldron Lab at the CUNY SPH1
    • Show N_FILTERS more
    • Resource type
    • e-learning2
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets1
    • Jupyter Notebook (with Solutions)1
    • Jupyter Notebook (without Solutions)1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

User: scraper

and Max age: 24 hours

and Contributors: Helena Rasche

3 materials found
  • e-learning

    SQL with Python

    •• intermediate
    Software engineering Foundations of Data Science Python SQL jupyter-notebook
  • slides

    Intro to DataPLANT ARCs

    • beginner
    FAIR Data Workflows and Research
  • e-learning

    RO-Crate - Introduction

    • beginner
    FAIR Data Workflows and Research
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation

The training portal for the photon & neutron community is supported through the European Union's Horizon 2020 research and innovation programme, under grant agreement 857641, 823852, the Horizon Europe Framework under grant agreement 101129751, and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.