EuroSciPy 2017: Python (1/2)
EuroSciPy 2017: Python (1/2)
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EuroSciPy 2017: AutoWIG: Wrapping very large C++ libraries in Python automatically

EuroSciPy 2017: AutoWIG: Wrapping very large C++ libraries in Python automatically

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EuroSciPy 2017: Keynote: PyTorch: Framework for fast, dynamic deep learning and scientific computing

EuroSciPy 2017: Keynote: PyTorch: Framework for fast, dynamic deep learning and scientific computing

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EuroSciPy 2017: The OpenTURNS uncertainty quantification Python module

EuroSciPy 2017: The OpenTURNS uncertainty quantification Python module

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EuroSciPy 2017: Advanced Pandas

EuroSciPy 2017: Advanced Pandas

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EuroSciPy 2017: Working with Audio Data in Python

EuroSciPy 2017: Working with Audio Data in Python

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EuroSciPy 2017: Scikit-image

EuroSciPy 2017: Scikit-image

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Parallel Implementation in Python of a Pseudo-Spectral DNS Code | EuroSciPy 2015 | Mikael Mortensen

Parallel Implementation in Python of a Pseudo-Spectral DNS Code | EuroSciPy 2015 | Mikael Mortensen

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The failure of python object serialization | EuroSciPy 2014 | Michael McKerns

The failure of python object serialization | EuroSciPy 2014 | Michael McKerns

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From the Field to Geostationary Orbit - Mapping Lightning with Python | SciPy 2017 | Eric Bruning

From the Field to Geostationary Orbit - Mapping Lightning with Python | SciPy 2017 | Eric Bruning

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PyCon.DE 2018 LT: xtensor-python - The Fast, Universal, C++ ndarray - Wolf Vollprecht

PyCon.DE 2018 LT: xtensor-python - The Fast, Universal, C++ ndarray - Wolf Vollprecht

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MetPy’s Choice of Unit Support - A Descent into Madness | SciPy 2017 | Ryan May & John Leeman

MetPy’s Choice of Unit Support - A Descent into Madness | SciPy 2017 | Ryan May & John Leeman

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Make it Work, Make it Right, Make it Fast Debugging and Profiling in Dask | SciPy 2017 | James Cri

Make it Work, Make it Right, Make it Fast Debugging and Profiling in Dask | SciPy 2017 | James Cri

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Advanced Python Profiling | EuroSciPy 2014 | Yury V Zaytsev

Advanced Python Profiling | EuroSciPy 2014 | Yury V Zaytsev

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Software Carpentry Scientific Python Course Part 2 | SciPy 2017 Tutorial | Maxim Belkin

Software Carpentry Scientific Python Course Part 2 | SciPy 2017 Tutorial | Maxim Belkin

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Automatic Code Generation with SymPy | SciPy 2017 Tutorial | Jason, Aaron, Björn & Kenneth

Automatic Code Generation with SymPy | SciPy 2017 Tutorial | Jason, Aaron, Björn & Kenneth

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EuroSciPy 2019 Bilbao - Data sciences in a polyglot world with xtensor and xframe - Sylvain and Wolf

EuroSciPy 2019 Bilbao - Data sciences in a polyglot world with xtensor and xframe - Sylvain and Wolf

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Simmi Mourya - Scientific computing using Cython: Best of both Worlds!

Simmi Mourya - Scientific computing using Cython: Best of both Worlds!

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WebGL IPython notebook backend for Vispy

WebGL IPython notebook backend for Vispy

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Martin Christen - Processing Geodata using Python and Open Source Modules

Martin Christen - Processing Geodata using Python and Open Source Modules

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PyCon.DE 2017 David Dao - Really Deep Neural Networks with PyTorch

PyCon.DE 2017 David Dao - Really Deep Neural Networks with PyTorch

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