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- Intro of the course - 05/04/2024 - slides
- Lecture 1: Probability, Bayes theorem, random variables, probability density functions, expectation values, correlation and pdf transformations - 05/04/2024 - slides 1
- Lecture 2: Python intro, variables, functions, classes, numpy and pandas libraries, plotting - 12/04/2024 - slides 2 - notebooks: nbviewer, binder,
- Lecture 3: Pdf catalogue, Python SciPy library, Visualizing data, histograms - 1219/04/2024 - slides 3 - notebooks: nbviewer, binder,
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