Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • Spaces
  • Events
  • Materials
  • Workflows
  • Collections
  • e-Learning
  • Learning paths
  • Directory
    • Providers
    • Nodes

TeSSHub makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSSHub in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

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 Allow all 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
    • Algorithms2
    • Computer programming2
    • Data structures2
    • Programming languages2
    • Software development2
    • Software engineering2
    • Bioinformatics1
    • Data rendering1
    • Data visualisation1
    • Show N_FILTERS more
    • Content provider
    • PaN Training6
    • GTN1
    • Show N_FILTERS more
    • Keyword
    • Python
    • jupyter-notebook23
    • Foundations of Data Science18
    • Statistics and machine learning15
    • Proteomics14
    • Imaging12
    • biodiversity11
    • Genome Annotation9
    • ai-ml9
    • elixir9
    • NEPHEWS project8
    • jbrowse18
    • microgalaxy8
    • Computational chemistry7
    • Image segmentation7
    • Using Galaxy and Managing your Data7
    • Assembly6
    • eukaryote6
    • gmod6
    • training6
    • Large Language Model5
    • covid195
    • life sciences5
    • one-health5
    • CERIC4
    • Central European Research Infrastructure Consortium4
    • Heritage Science4
    • Materials Science4
    • Metabolomics4
    • Multi-channel image4
    • PaNOSC4
    • SQL4
    • Variant Analysis4
    • Visualisation4
    • expands4
    • metabolomics4
    • work-in-progress4
    • workflows4
    • DIA3
    • Deep learning3
    • FAIR3
    • Image annotation3
    • Object feature extraction3
    • Overlay3
    • Single Cell3
    • assembly3
    • battery research3
    • biostatistics3
    • data analysis3
    • eukaryota3
    • pacbio3
    • programming3
    • prokaryote3
    • proteogenomics3
    • wp3-ExPaNDS3
    • 10x2
    • AlphaFold2
    • Beamtime access2
    • Braker32
    • COVID research2
    • Computing environment2
    • Conversion2
    • Data2
    • Data handling2
    • Data management2
    • Data sharing2
    • Deep Learning2
    • Evolution2
    • FAIR Data2
    • Galaxy Server administration2
    • Image Learner2
    • Isolated object tracking2
    • Large-scale research facilities2
    • Microbiome2
    • NMR2
    • Neutron science2
    • R2
    • ROI selection2
    • Research infrastructures2
    • Small Angle Neutron Scattering2
    • Structure prediction2
    • Transcriptomics2
    • VGP2
    • Virtual training2
    • apollo22
    • bash2
    • binning2
    • collections2
    • cyoa2
    • data visualisation2
    • drug delivery2
    • epigenetics2
    • exposomics2
    • game2
    • gc-ms2
    • high-performance2
    • http://edamontology.org/topic_33162
    • human2
    • imaging2
    • interactive-tools2
    • Show N_FILTERS more
    • Competency level
    • Intermediate
    • Not specified231
    • Beginner15
    • Advanced1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International3
    • License Not Specified3
    • MIT License1
    • Show N_FILTERS more
    • Target audience
    • Students2
    • 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
    • PaN Community1
    • Photon Community1
    • life scientists1
    • research data scientist1
    • Show N_FILTERS more
    • Author
    • Avans Hogeschool2
    • Helena Rasche2
    • The Carpentries2
    • Jeremy Cohen1
    • Steve Crouch1
    • Wandrille Duchemin1
    • Show N_FILTERS more
    • Contributor
    • Anthony Bretaudeau2
    • Helena Rasche2
    • Marius van den Beek2
    • Peter van Heusden2
    • Saskia Hiltemann2
    • Show N_FILTERS more
    • Resource type
    • e-learning3
    • git1
    • software1
    • workflow1
    • Show N_FILTERS more
    • Related resource
    • Jupyter Notebook (with Solutions)2
    • Jupyter Notebook (without Solutions)2
    • Show N_FILTERS more
    • Status
    • Active2
    • 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
  • Harvest using OAI-PMH

Email Subscription

Harvest using OAI-PMH

Exchange content using OAI-PMH

Use an OAI-PMH compatible tool to harvest metadata using the OAI-PMH endpoint. In particular, this endpoint can be used for exchanging content between different TeSS instances. See the TeSS documentation for more details.

Keywords: Python

and Competency level: Intermediate

and User: scraper

7 materials found
  • PaN Training

    workflow

    Full-field Tomography at PSI

    •• Intermediate
    Jupyter notebooks Pulmonary arterial hypertension Python imaging synchrotron
  • PaN Training

    git, software

    Python Laser Image Visualization

    •• Intermediate
    Cameras Laser Laser Ion Acceleration Python Qt5 Visualization
  • PaN Training

    Byte-sized RSE Session 3: Testing your Python code

    •• Intermediate
    Python RSE Research software coding skills testing
  • PaN Training

    e-learning

    Explore and Visualize Your Data with Python

    •• Intermediate
    Data visualisation Bioinformatics Data analysis Data visualisation Python
  • PaN Training

    e-learning

    SQL with Python

    •• Intermediate
    Software engineering Foundations of Data Science Python SQL jupyter-notebook
  • PaN Training

    First steps in Python

    •• Intermediate
    Python programming
  • ELIXIR TeSS

    e-learning

    SQL with Python

    •• Intermediate
    Software engineering Foundations of Data Science Python SQL jupyter-notebook
Training eSupport System
[email protected]
Contribute
About TeSSHub
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSSHub has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.