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 program
    • Active learning4
    • Ensembl learning4
    • Kernel methods4
    • Knowledge representation4
    • Machine learning4
    • Neural networks4
    • Python4
    • Python script4
    • Recommender system4
    • Reinforcement learning4
    • Supervised learning4
    • Unsupervised learning4
    • py4
    • Algorithms2
    • Bayesian methods2
    • Biostatistics2
    • Computer programming2
    • Data structures2
    • Descriptive statistics2
    • Gaussian processes2
    • Inferential statistics2
    • Markov processes2
    • Multivariate statistics2
    • Probabilistic graphical model2
    • Probability2
    • Programming languages2
    • Software development2
    • Software engineering2
    • Statistics2
    • Statistics and probability2
    • Bioinformatics1
    • Chromosome walking1
    • Clone verification1
    • Comparative transcriptomics1
    • DNA-Seq1
    • DNase-Seq1
    • Data rendering1
    • Data visualisation1
    • High throughput sequencing1
    • High-throughput sequencing1
    • MicroRNA sequencing1
    • NGS1
    • NGS data analysis1
    • Network1
    • Next gen sequencing1
    • Next generation sequencing1
    • Panels1
    • Pathway1
    • Pathway or network1
    • Primer walking1
    • RNA sequencing1
    • RNA-Seq1
    • RNA-Seq analysis1
    • Sanger sequencing1
    • Sequencing1
    • Single-cell genomics1
    • Single-cell sequencing1
    • Small RNA sequencing1
    • Small RNA-Seq1
    • Small-Seq1
    • Targeted next-generation sequencing panels1
    • Transcriptome1
    • Transcriptome profiling1
    • Transcriptomics1
    • WTSS1
    • Whole transcriptome shotgun sequencing1
    • miRNA-seq1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org4
    • Show N_FILTERS more
    • Keyword
    • Python
    • Data science2
    • Show N_FILTERS more
    • Competency level
    • Not specified4
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International
    • License Not Specified40
    • MIT License19
    • BSD 3-Clause "New" or "Revised" License3
    • Creative Commons Attribution Share Alike 4.0 International3
    • Creative Commons Zero v1.0 Universal3
    • GNU General Public License v3.0 only2
    • The Unlicense1
    • Show N_FILTERS more
    • Author
    • SIB Swiss Institute of Bioinformatics2
    • Data Science in Practice1
    • Kevin Heavey1
    • Show N_FILTERS more
    • Contributor
    • Robin Engler2
    • Wandrille D.2
    • Alex Franz1
    • Alexander Beedie1
    • Bill Mill1
    • Bradley Voytek1
    • Colin Dean1
    • Damien Dotta1
    • Diana Marek1
    • Joel Ostblom1
    • Kevin Heavey1
    • Marco Edward Gorelli1
    • Orlin Topalov1
    • SIB Git course1
    • Shannon Ellis1
    • Stijn de Gooijer1
    • Yang Ye1
    • Yi Sheng1
    • tom1
    • Show N_FILTERS more
    • Node
    • Switzerland4
    • 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

Email Subscription

Register training material

Keywords: Python

and Licence: Creative Commons Attribution 4.0 International

and Scientific topics: Python program

4 materials found
  • kevinheavey/modern-polars

    ELIXIR node event
    Python script Python
  • DataScienceInPractice/Site

    ELIXIR node event
    Python script Data science Python
  • sib-swiss/intermediate-python-training

    ELIXIR node event
    Python script Python Data science
  • sib-swiss/first-steps-with-python-training

    ELIXIR node event
    Python script 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.