Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Directory
    • Providers

TeSS 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

    • Content provider
    • Digital Research Academy1
    • Show N_FILTERS more
    • Keyword
    • docker container1
    • reproducibility1
    • scientific software1
    • shell1
    • version control1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International
    • License Not Specified41
    • Show N_FILTERS more
    • Target audience
    • PhD students
    • PaN Community11
    • ExPaNDS and PaNOSC project members5
    • scientists4
    • data managers2
    • research data engineer2
    • research data scientist2
    • PaN users1
    • data curator1
    • engineers1
    • facility staff1
    • researchers1
    • scientific1
    • Show N_FILTERS more
    • Resource type
    • slides1
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Licence: Creative Commons Attribution 4.0 International

and Target audience: PhD students

1 material found
  • slides

    Computational Reproducibility with the shell, Git and Docker

    scientific software reproducibility docker container version control shell
Training eSupport System
pan-training@hzdr.de
Contribute
About PaN-Training
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 and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.