Training materials
Keywords: Chemical biology or Computational Biology or Experimental-design or jupyter-notebook
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
hands-on tutorial
Hands-on for 'RO-Crate in Python' tutorial
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hands-on tutorial
Hands-on for 'Best practices for workflows in GitHub repositories' tutorial
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hands-on tutorial
Hands-on for 'Inferring Trajectories using Monocle3 (R)' tutorial
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hands-on tutorial
Hands-on for 'Python - Coding Style' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediatedata-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Multiprocessing' tutorial
••• advanceddata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediatedata-science jupyter-notebook