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

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
    • Python script
    • Python63
    • Python program63
    • py63
    • FAIR data30
    • Findable, accessible, interoperable, reusable data30
    • Data management24
    • Metadata management24
    • Research data management (RDM)24
    • Active learning12
    • Ensembl learning12
    • Kernel methods12
    • Knowledge representation12
    • Machine learning12
    • Neural networks12
    • Recommender system12
    • Reinforcement learning12
    • Supervised learning12
    • Unsupervised learning12
    • Data rendering8
    • Data visualisation8
    • Bioinformatics7
    • Bayesian methods6
    • Biostatistics6
    • Descriptive statistics6
    • Gaussian processes6
    • Inferential statistics6
    • Markov processes6
    • Multivariate statistics6
    • Probabilistic graphical model6
    • Probability6
    • Statistics6
    • Statistics and probability6
    • Biodiversity3
    • Open science3
    • Algorithms2
    • Computer programming2
    • Data structures2
    • Programming languages2
    • R2
    • R program2
    • R script2
    • Software development2
    • Software engineering2
    • Aerobiology1
    • Behavioural biology1
    • Biological rhythms1
    • Biological science1
    • Biology1
    • Chronobiology1
    • Cloud computing1
    • Computer science1
    • Content management1
    • Cryobiology1
    • Crystallography1
    • Data archival1
    • Data archiving1
    • Data curation1
    • Data curation and archival1
    • Data mining1
    • Data preservation1
    • Database curation1
    • Database management1
    • Document management1
    • Elastic neutron scattering1
    • File management1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Integrative omics1
    • Multi-omics1
    • Multiomics1
    • Network1
    • Neutron diffraction1
    • Neutron diffraction experiment1
    • Neutron microscopy1
    • Pan-omics1
    • Panomics1
    • Pathway1
    • Pathway or network1
    • Pattern recognition1
    • Record management1
    • Reproductive biology1
    • Research data archiving1
    • SPARQL1
    • SPARQL Protocol and RDF Query Language1
    • SQL1
    • Structured Query Language1
    • Taxonomy1
    • X-ray crystallography1
    • X-ray diffraction1
    • X-ray microscopy1
    • Show N_FILTERS more
    • Content provider
    • PaN Training63
    • Show N_FILTERS more
    • Keyword
    • Python63
    • Data science16
    • Shiny3
    • R2
    • Reproducibility2
    • Artificial intelligence1
    • Containerization1
    • Docker1
    • Programming1
    • Quarto1
    • Unix/Linux1
    • Version control1
    • Show N_FILTERS more
    • Competency level
    • Not specified57
    • Beginner6
    • Show N_FILTERS more
    • Licence
    • License Not Specified35
    • MIT License18
    • Creative Commons Attribution 4.0 International3
    • Creative Commons Attribution Share Alike 4.0 International2
    • Creative Commons Zero v1.0 Universal2
    • GNU General Public License v3.0 only2
    • BSD 3-Clause "New" or "Revised" License1
    • Show N_FILTERS more
    • Target audience
    • Life scientists1
    • Show N_FILTERS more
    • Author
    • The Carpentries Incubator6
    • MolSSI Education4
    • Sundeep Agarwal3
    • posit-dev3
    • Google2
    • Jake Vanderplas2
    • @SUNET1
    • @foss421
    • @posit-pbc1
    • @pydantic1
    • @rstudio @UBC-DSCI @UBC-MDS1
    • Akuli1
    • Alex Hall1
    • Ankit Mahato1
    • AstraZeneca1
    • Boas Pucker1
    • Carnegie Mellon1
    • Charles Severance1
    • Daniel Chen1
    • Data Carpentry1
    • Data Science in Practice1
    • Decathlon Digital - @dktunited1
    • Girls Who Code at U-M DCMB1
    • Greg Malcolm1
    • Guillaume Gautier1
    • Hacking for Science1
    • Hamel Husain1
    • Insee1
    • James Collier1
    • Jean de Dieu Nyandwi1
    • Jeffrey Hu1
    • João Ventura1
    • Kevin Heavey1
    • Kushal Das1
    • LiaPlayground1
    • Lino Galiana1
    • Max Planck Institute for Astronomy1
    • Oleksii Trekhleb1
    • OpenTechSchool1
    • Parlance Labs1
    • 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
    • S.Lott1
    • SIB Swiss Institute of Bioinformatics1
    • Scott Reed1
    • Sebastian Raschka1
    • Sergio Martínez Cuesta1
    • SoftUni1
    • Software Carpentry1
    • Swaroop CH1
    • Talk Python1
    • The Algorithms1
    • UC Berkeley Data 1001
    • UC Berkeley Data 81
    • Uber1
    • University of Michigan1
    • Valentin Danchev1
    • Wes McKinney1
    • Zhixinfuture1
    • rnorm1
    • zemZemTrainingOrg1
    • Show N_FILTERS more
    • Contributor
    • The Carpentries Incubator6
    • MolSSI Education4
    • Sundeep Agarwal3
    • posit-dev3
    • Google2
    • Jake Vanderplas2
    • @SUNET1
    • @foss421
    • @posit-pbc1
    • @pydantic1
    • @rstudio @UBC-DSCI @UBC-MDS1
    • Akuli1
    • Alex Hall1
    • Ankit Mahato1
    • AstraZeneca1
    • Boas Pucker1
    • Carnegie Mellon1
    • Charles Severance1
    • Daniel Chen1
    • Data Carpentry1
    • Data Science in Practice1
    • Decathlon Digital - @dktunited1
    • Girls Who Code at U-M DCMB1
    • Greg Malcolm1
    • Guillaume Gautier1
    • Hacking for Science1
    • Hamel Husain1
    • Insee1
    • Jean de Dieu Nyandwi1
    • Jeffrey Hu1
    • João Ventura1
    • Kevin Heavey1
    • Kushal Das1
    • LiaPlayground1
    • Lino Galiana1
    • Max Planck Institute for Astronomy1
    • Nina Buchina1
    • Oleksii Trekhleb1
    • OpenTechSchool1
    • Parlance Labs1
    • 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
    • S.Lott1
    • SIB Swiss Institute of Bioinformatics1
    • Scott Reed1
    • Sebastian Raschka1
    • Sergio Martínez Cuesta1
    • SoftUni1
    • Software Carpentry1
    • Swaroop CH1
    • Talk Python1
    • The Algorithms1
    • UC Berkeley Data 1001
    • UC Berkeley Data 81
    • Uber1
    • University of Michigan1
    • Valentin Danchev1
    • Wes McKinney1
    • Zhixinfuture1
    • rnorm1
    • zemZemTrainingOrg1
    • Show N_FILTERS more
    • Resource type
    • hands-on tutorial1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Hide 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.

Register training material

Scientific topics: Python script

and Include archived: true

and Include broken links: true

63 materials found
  • Course: Applied Python Programming for Life Scientists

    Python script Python
  • bpucker/APPLS

    Python script Python
  • MolSSI-Education/python-package-best-practices

    Python script Python
  • MolSSI-Education/getting-started-computational-chemistry

    Python script Python Unix/Linux
  • MolSSI-Education/oop_and_design_patterns

    Python script Python
  • mpi-astronomy/data_science_training_materials

    Python script Data science Python
  • rnorm/book_sample

    Python script R script Data science Python R
  • scottmreed/Code_withGPT_tutorial

    Python script Artificial intelligence Python
  • zemZemTrainingOrg/PythonIN-86400sec

    Python script Python
  • posit-dev/intro-to-shiny-for-python

    Python script Python Shiny
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
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.