Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

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

    • Scientific topic
    • Algorithms37
    • Computer programming37
    • Data structures37
    • Programming languages37
    • Software development37
    • Software engineering37
    • Bayesian methods9
    • Biostatistics9
    • Descriptive statistics9
    • Gaussian processes9
    • Inferential statistics9
    • Markov processes9
    • Multivariate statistics9
    • Probabilistic graphical model9
    • Probability9
    • Statistics9
    • Statistics and probability9
    • Show N_FILTERS more
    • Tool
    • RStudio6
    • Galaxy1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training55
    • Show N_FILTERS more
    • Keyword
    • jupyter-notebook
    • training64
    • Galaxy Server administration58
    • Foundations of Data Science51
    • Proteomics45
    • biodiversity42
    • data management41
    • Single Cell40
    • microgalaxy39
    • Statistics and machine learning35
    • Transcriptomics29
    • FAIR28
    • Contributing to the Galaxy Training Material27
    • Ecology27
    • Genome Annotation27
    • Rare Diseases & Research27
    • Using Galaxy and Managing your Data27
    • Bioinformatics25
    • Development in Galaxy24
    • Assembly22
    • Data analysis20
    • FAIR data20
    • ansible20
    • Microbiome19
    • data stewardship19
    • genes and genomes19
    • interactive-tools19
    • DNA RNA18
    • FAIR Data, Workflows, and Research18
    • Variant Analysis18
    • git-gat18
    • Teaching and Hosting Galaxy training17
    • elixir17
    • work-in-progress17
    • Python16
    • Roslin Institute16
    • Sequence analysis16
    • life-sciences16
    • reproducibility16
    • Climate15
    • Imaging15
    • Ontologies15
    • fair15
    • jbrowse115
    • transcriptomics15
    • Programming14
    • earth-system14
    • gmod14
    • Data management planning13
    • Babraham Institute13
    • Epigenetics13
    • Introduction to Galaxy Analyses13
    • Proteins13
    • R13
    • Shell13
    • data visualisation13
    • medicine and health13
    • next generation sequencing13
    • programming13
    • prokaryote13
    • EeLP12
    • Metabolomics12
    • eLearning12
    • health-informatics12
    • paper-replication12
    • Chemical biology11
    • Data management plan11
    • Europe PMC11
    • Git11
    • Introduction bioinformatics11
    • MIGHTS11
    • Metadata11
    • ai-ml11
    • biostatistics11
    • cyoa11
    • plants11
    • workflows11
    • Evolution10
    • Extras10
    • Gene Expression10
    • HPC10
    • Introduction10
    • Literature search10
    • Phylogenetics10
    • covid1910
    • eukaryote10
    • label-free10
    • mark ibberson group10
    • services and resources10
    • Computational chemistry9
    • DDA9
    • Genomics9
    • Python biologists9
    • Standards9
    • bioinformatics9
    • computer-science9
    • machine learning9
    • metadata9
    • ocean9
    • one-health9
    • Show N_FILTERS more
    • Difficulty level
    • Beginner29
    • Intermediate23
    • Advanced3
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International55
    • Show N_FILTERS more
    • Target audience
    • Students53
    • Galaxy Administrators1
    • Instructors1
    • Show N_FILTERS more
    • Author
    • Helena Rasche27
    • The Carpentries19
    • Bazante Sanders14
    • Donny Vrins12
    • Avans Hogeschool7
    • Raphael Mourad6
    • Anton Nekrutenko5
    • Bérénice Batut5
    • Fotis E. Psomopoulos3
    • Julia Jakiela3
    • Maria Christina Maniou3
    • Wendi Bacon3
    • Ralf Gabriels2
    • Simone Leo2
    • Anne Fouilloux1
    • Bruno P. Kinoshita1
    • Camila Goclowski1
    • Eli Chadwick1
    • Mehmet Tekman1
    • Morgan Howells1
    • NU Knight Lab1
    • Nicola Soranzo1
    • Saskia Hiltemann1
    • Wandrille Duchemin1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann41
    • Helena Rasche40
    • Wendi Bacon19
    • Björn Grüning18
    • Donny Vrins18
    • Bazante Sanders14
    • Anthony Bretaudeau12
    • Beatriz Serrano-Solano11
    • Bérénice Batut10
    • Marius van den Beek10
    • Peter van Heusden10
    • Anup Kumar6
    • Mehmet Tekman5
    • Pavankumar Videm5
    • Wandrille Duchemin5
    • olisand5
    • Julia Jakiela4
    • Maria Christina Maniou3
    • Martin Čech3
    • Yvan Le Bras3
    • Armin Dadras2
    • Eli Chadwick2
    • Anne Fouilloux1
    • Camila Goclowski1
    • Clare Sloggett1
    • Cristóbal Gallardo1
    • Nate Coraor1
    • Nicola Soranzo1
    • Nitesh Turaga1
    • Pablo Moreno1
    • Simone Leo1
    • Teresa Müller1
    • Show N_FILTERS more
    • Resource type
    • e-learning55
    • Show N_FILTERS more
    • Related resource
    • Jupyter Notebook (with Solutions)49
    • Jupyter Notebook (without Solutions)49
    • Associated Training Datasets9
    • Quarto/RMarkdown Notebook6
    • Associated Workflows1
    • Show N_FILTERS more
  • Show disabled materials
  • Hide 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

Keywords: jupyter-notebook

and Include archived: true

55 materials found
  • e-learning

    Python - Coding Style

    •• intermediate
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Introductory Graduation

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Math

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Functions

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Basic Types & Type Conversion

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Flow Control

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Loops

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Files & CSV

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Python - Try & Except

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Advanced SQL

    • beginner
    Software engineering Foundations of Data Science SQL jupyter-notebook
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

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