OERSI logo
  • Log In
    • 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
    • Bioinformatics3
    • Data rendering2
    • Data visualisation2
    • FAIR data2
    • Findable, accessible, interoperable, reusable data2
    • Algorithms1
    • Biodiversity1
    • Computer programming1
    • Content management1
    • Data archival1
    • Data archiving1
    • Data curation1
    • Data curation and archival1
    • Data management1
    • Data mining1
    • Data preservation1
    • Data structures1
    • Database curation1
    • Database management1
    • Document management1
    • File management1
    • Metadata management1
    • Pattern recognition1
    • Programming languages1
    • Record management1
    • Research data archiving1
    • Research data management (RDM)1
    • Software development1
    • Software engineering1
    • Taxonomy1
    • Show N_FILTERS more
    • Tool
    • Data Stewardship Wizard1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS6
    • ESRF – European Synchrotron Radiation Facility2
    • Show N_FILTERS more
    • Keyword
    • Python4
    • Data2
    • FAIR Data2
    • PaNOSC2
    • DMP1
    • DMP tools1
    • Dashboard1
    • Data Management1
    • Data analysis1
    • Data visualisation1
    • FAIR1
    • FAIR data1
    • Foundations of Data Science1
    • Online Repository1
    • PaN1
    • Photon and Neutron1
    • RSE1
    • Research software1
    • SQL1
    • Taxonomic concepts1
    • VISA1
    • Virtual Research Environment1
    • coding skills1
    • compute hardware1
    • data analysis1
    • data management1
    • data stewardship1
    • discovery1
    • health1
    • human1
    • jupyter-notebook1
    • login required1
    • organs1
    • programming1
    • testing1
    • Show N_FILTERS more
    • Difficulty level
    • Intermediate
    • Not specified1354
    • Beginner17
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International5
    • License Not Specified3
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Scientific community2
    • Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
    • Researchers1
    • Students1
    • data stewards1
    • medical researchers1
    • scientists1
    • Show N_FILTERS more
    • Author
    • Donat Agosti2
    • Julia Giora2
    • Plazi Verein2
    • Avans Hogeschool1
    • Claire Walsh1
    • Helena Rasche1
    • Jeremy Cohen1
    • Marek Suchánek1
    • Paul Tafforeau1
    • Peter Lee1
    • Steve Crouch1
    • Tereza Machačová1
    • The Carpentries1
    • Wandrille Duchemin1
    • Show N_FILTERS more
    • Contributor
    • Anthony Bretaudeau1
    • David Stansby1
    • Guillaume Gaisne1
    • Helena Rasche1
    • Marius van den Beek1
    • Peter van Heusden1
    • Saskia Hiltemann1
    • Show N_FILTERS more
    • Resource type
    • e-learning2
    • lessons2
    • service2
    • Presentation1
    • Show N_FILTERS more
    • Related resource
    • Jupyter Notebook (with Solutions)1
    • Jupyter Notebook (without Solutions)1
    • Show N_FILTERS more
    • Collection
    • PaNOSC Node Service Collection2
    • Show N_FILTERS more
    • Status
    • Active6
    • Show N_FILTERS more
  • Only show materials from current space
  • Show disabled materials
  • Show materials with broken links
  • Hide archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Include archived: true

and Across all spaces: true

and Difficulty level: Intermediate

9 materials found
  • e-learning

    SQL with Python

    •• intermediate
    Software engineering Foundations of Data Science Python SQL jupyter-notebook
  • Byte-sized RSE Session 3: Testing your Python code

    •• intermediate
    Python RSE Research software coding skills testing
  • e-learning

    Explore and Visualize Your Data with Python

    •• intermediate
    Data visualisation Bioinformatics Data analysis Data visualisation Python
  • lessons

    Introduction to taxonomic concepts

    •• intermediate
    Taxonomy Bioinformatics FAIR Data Taxonomic concepts
  • lessons

    Dashboards as showcases for FAIR collections

    •• intermediate
    FAIR data Biodiversity Bioinformatics Data visualisation Data curation and archival Database management Dashboard Data Management FAIR Data Online Repository
  • Presentation

    DSW Workshop for Finnish Data Support Personnel

    •• intermediate
    Data management DMP DMP tools FAIR FAIR data data stewardship
  • service

    ESRF VISA Service

    •• intermediate
    VISA compute hardware data analysis Data login required PaNOSC Virtual Research Environment
  • First steps in Python

    •• intermediate
    Python programming
  • service

    Human Organ Atlas

    •• intermediate
    FAIR data Data mining human organs PaN health data management discovery Data PaNOSC …
OERSI logo
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.