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

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS 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
    • Data management8
    • Metadata management8
    • R8
    • R program8
    • R script8
    • Research data management (RDM)8
    • FAIR data7
    • Findable, accessible, interoperable, reusable data7
    • Metagenomics4
    • Python4
    • Python program4
    • Shotgun metagenomics4
    • py4
    • Chromosome walking3
    • Clone verification3
    • DNA-Seq3
    • DNase-Seq3
    • High throughput sequencing3
    • High-throughput sequencing3
    • NGS3
    • NGS data analysis3
    • Next gen sequencing3
    • Next generation sequencing3
    • Panels3
    • Primer walking3
    • Sanger sequencing3
    • Sequencing3
    • Targeted next-generation sequencing panels3
    • Active learning2
    • Ensembl learning2
    • Exomes2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • Kernel methods2
    • Knowledge representation2
    • Machine learning2
    • Neural networks2
    • Personal genomics2
    • Pipelines2
    • Recommender system2
    • Reinforcement learning2
    • Software integration2
    • Supervised learning2
    • Synthetic genomics2
    • Tool integration2
    • Tool interoperability2
    • Unsupervised learning2
    • Viral genomics2
    • Whole genomes2
    • Workflows2
    • Bayesian methods1
    • Biostatistics1
    • Breakend assembly1
    • CWL1
    • Cloud computing1
    • Common Workflow Language1
    • CommonWL1
    • Computer science1
    • Descriptive statistics1
    • Gaussian processes1
    • Genome assembly1
    • Genomic assembly1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Inferential statistics1
    • Markov processes1
    • Multivariate statistics1
    • Probabilistic graphical model1
    • Probability1
    • R markdown1
    • Sequence assembly (genome assembly)1
    • Statistics1
    • Statistics and probability1
    • Variant pattern analysis1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org4
    • Show N_FILTERS more
    • Keyword
    • Python4
    • Data science1
    • Reproducibility1
    • Unix/Linux1
    • Show N_FILTERS more
    • Competency level
    • Not specified4
    • Show N_FILTERS more
    • Licence
    • License Not Specified4
    • Show N_FILTERS more
    • Author
    • MolSSI Education2
    • Data Carpentry1
    • The Carpentries Incubator1
    • Show N_FILTERS more
    • Contributor
    • Andrew Sanchez
    • Erin Becker6
    • François Michonneau6
    • Katrin Leinweber6
    • Maxim Belkin6
    • Raniere Silva6
    • Toby Hodges6
    • Andy Boughton5
    • EvanWill5
    • Gabriel A. Devenyi5
    • Katie Anne Mills5
    • Sarah Brown5
    • Tracy Teal5
    • W. Trevor King5
    • Abby Cabunoc Mayes4
    • David Mawdsley4
    • David Pérez-Suárez4
    • Greg Wilson4
    • James Allen4
    • Jessica A. Nash4
    • Jon Pipitone4
    • Jonah Duckles4
    • Michael Hansen4
    • Piotr Banaszkiewicz4
    • Remi Rampin4
    • Rémi Emonet4
    • Zhian N. Kamvar4
    • maneesha4
    • trk4
    • Allen Lee3
    • Brandon Curtis3
    • Christian Clauss3
    • Gerard Capes3
    • Ian Lee3
    • Jeff Oliver3
    • Jemma Stachelek3
    • Joel Nothman3
    • Konrad Förstner3
    • M Bussonnier3
    • Matthew3
    • Michael R. Crusoe3
    • Nick Young3
    • Radovan Bast3
    • Rayna M Harris3
    • Robert Davey3
    • Stephan Druskat3
    • Sundeep Agarwal3
    • Sven van der Burg3
    • Vini Salazar3
    • William L. Close3
    • khoivan883
    • naught1013
    • Aaron2
    • Aaron O'Leary2
    • Aditya2
    • Alex Whan2
    • Alexander2
    • Alistair Walsh2
    • Aman Goel2
    • Ana Conrado2
    • Ariel Rokem2
    • Ashley Ringer McDonald2
    • Brett Cannon2
    • Carol Willing2
    • Chris Holdgraf2
    • Christopher Endemann2
    • Dan Chitwood2
    • David Beitey2
    • Doaa Altarawy2
    • Dominique Plante2
    • Eliseo Marin-Rimoldi2
    • Emily Dolson2
    • Ethan White2
    • Frank Löffler2
    • Greg Malcolm2
    • Harry Moreno2
    • Hilmar Lapp2
    • Jake Vanderplas2
    • Jaro Camphuijsen2
    • Jing Chen2
    • John Blischak2
    • John Gosset2
    • K.E. Koziar2
    • Kosuri Indu2
    • Kunal Marwaha2
    • Lex Nederbragt2
    • Manmita Das2
    • Matt Davis2
    • Matt Graham2
    • Michael Connell2
    • Naveen2
    • Pete Bachant2
    • Peter Cock2
    • Renato Alves2
    • Robin Engler2
    • Ryan Dale2
    • Ryan Lovett2
    • Sam Lewis2
    • Samuel E Lau2
    • Sanket Dasgupta2
    • Show N_FILTERS more
    • Node
    • Switzerland4
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Hide archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: Python script

and Contributors: Andrew Sanchez

and Include archived: true

4 materials found
  • MolSSI-Education/getting-started-computational-chemistry

    ELIXIR node event
    Python script Unix/Linux Python
  • MolSSI-Education/python_scripting_cms

    ELIXIR node event
    Python script Python
  • carpentries-incubator/introduction-to-conda-for-data-scientists

    ELIXIR node event
    Python script Python Reproducibility
  • datacarpentry/python-ecology-lesson

    ELIXIR node event
    Python script Data science Python
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
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.