Training materials
Keywords: Data transfer or Python
and Target audience: Laboratory technicians or PhD or software engineers
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Presentation
Practicalities of data handling
• beginnerData security Data acquisition Data management Data handling data encryption data protection setup checksums Data transfer Data storage data organisation -
examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
••• advancedSimulation experiment Computer science Mathematics Computational biology Modelling and simulation Visualisation data-driven modeling Computational modelling discrete-event simulation DES object-oriented programming Python data visualization Data Science -
Python @ TGAC - Python for Life Scientists: Managing biological data with Python