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The Python Scientific Ecosystem
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The Python Scientific Ecosystem
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The Python Scientific Ecosystem
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Python vs. other languages and their applications
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Runtime performance comparison
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How to make code run fast?
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How to make code run fast?
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Profile your code!
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Profile your code!
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Profile your code!
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Profile your code!
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Profile your code: RunSankeRun
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Fast calculation
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Fast calculation of Fibonacci numbers
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Asymptotic time complexity and the Big Oh
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Asymptotic time complexity and the Big Oh
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Asymptotic time complexity and the Big Oh
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Fibonacci numbers: use good algorithms
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Fibonacci numbers: use good algorithms
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Fast calculation of Fibonacci numbers: Caching
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Fast calculation of Fibonacci numbers: Caching
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Speedup by use of some fancy libraries
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Speedup by use of some fancy libraries
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Speedup by other fancy alterantives to pure Python
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Buy faster hardware
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Buy faster hardware
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Make things parallel
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Make things parallel
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Make things parallel: using big data
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Make things run on the GPU
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Latency Numbers Every Programmer Should Know (~2012)
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Don't forget about numerics!
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Questions?
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Exercise
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Tips and tricks
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Tips and tricks
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Tips and tricks
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Tips and tricks
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Tips and tricks
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Numpy
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Numpy
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Numpy
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Numpy: Broadcasting
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Numpy: Broadcasting
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Broadcasting: Numpy
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Broadcasting: Numpy
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Broadcasting: Numpy
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Broadcasting: Numpy
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Xarray has named dimensions!
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Numpy: this is how you make things fast!
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Numpy: Slicing
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Numpy: when is data copied?
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Numpy: when is data copied?
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Numpy: when is data copied?
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Numpy: when is data copied?
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Plotting
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Matplotlib, Pyplot, Pylab
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Nice examples with pandas, matplotlib and seaborn
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Exercise: plot cos(x) * cos(y)
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Exercise: plot cos(x) * cos(y)
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Exercise
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Exercise: solution
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Not covered in this workshop

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