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Tutorial | Basic Bokeh | EuroSciPy 2015 | Bryan Van de Ven

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Lessons List | 31 Lesson
Statistics in Python | EuroSciPy 2015 | Gaël Varoquaux
01:32:52

Statistics in Python | EuroSciPy 2015 | Gaël Varoquaux
A Pure Python GUI Tookit Based on Web Technology | EuroSciPy 2015 | Almar Klein
00:17:43

A Pure Python GUI Tookit Based on Web Technology | EuroSciPy 2015 | Almar Klein
Space Mission Design with Python | EuroSciPy 2015 | Helge Eichhorn
00:18:00

Space Mission Design with Python | EuroSciPy 2015 | Helge Eichhorn
Image Processing with Scikit Image | EuroSciPy 2015 | Emmanuelle Gouillart Juan Nunez Iglesias
01:32:47

Image Processing with Scikit Image | EuroSciPy 2015 | Emmanuelle Gouillart Juan Nunez Iglesias
Get Native with Cython | EuroSciPy 2015 | Stefan Behnel
03:07:44

Get Native with Cython | EuroSciPy 2015 | Stefan Behnel
Bokeh for Data Storytelling | EuroSciPY 2015 | Bryan Van de Ven
00:27:13

Bokeh for Data Storytelling | EuroSciPY 2015 | Bryan Van de Ven
Tutorial | Basic Bokeh | EuroSciPy 2015 | Bryan Van de Ven
01:30:28

Tutorial | Basic Bokeh | EuroSciPy 2015 | Bryan Van de Ven
Data Cleaning on Text to Prepare for Analysis and Machine Learning | EuroSciPy 2015 | Ian Ozsvald
00:29:15

Data Cleaning on Text to Prepare for Analysis and Machine Learning | EuroSciPy 2015 | Ian Ozsvald
Evidence Based Teaching What We Know and How to Use I EuroSciPy 2015 | Greg Wilson
02:43:58

Evidence Based Teaching What We Know and How to Use I EuroSciPy 2015 | Greg Wilson
Keynote | EuroSciPy 2015 | Pieter Hintjens
00:52:03

Keynote | EuroSciPy 2015 | Pieter Hintjens
Big Data in Little Laptop A Streaming Story in Python | EuroSciPy 2015 | Juan Nunez Iglesias
00:15:24

Big Data in Little Laptop A Streaming Story in Python | EuroSciPy 2015 | Juan Nunez Iglesias
PyFR | EuroSciPy 2015 | Freddie Witherden Michael Klemm Peter Vincent
00:15:11

PyFR | EuroSciPy 2015 | Freddie Witherden Michael Klemm Peter Vincent
Parallel Implementation in Python of a Pseudo Spectral DNS Code | EuroSciPy 2015 | Mikael Mortensen
00:14:22

Parallel Implementation in Python of a Pseudo Spectral DNS Code | EuroSciPy 2015 | Mikael Mortensen
JyNI Prepare Jython for Scientific Code | EuroSciPy 2015 | Stefan Richthofer
00:16:15

JyNI Prepare Jython for Scientific Code | EuroSciPy 2015 | Stefan Richthofer
How “Good” is Your Model | EuroSciPy 2015 | C Chen D Foures E Chatzimichali G Vettigli
00:41:23

How “Good” is Your Model | EuroSciPy 2015 | C Chen D Foures E Chatzimichali G Vettigli
Quantum Transport Simulations | EuroSciPy 2015 | Christoph Groth
00:14:48

Quantum Transport Simulations | EuroSciPy 2015 | Christoph Groth
Building Complex Visualizations Easily | EuroSciPy 2015 | Philipp Rudiger Jean Luc Stevens
00:16:18

Building Complex Visualizations Easily | EuroSciPy 2015 | Philipp Rudiger Jean Luc Stevens
Modelling Complex Geochemical Processes | EuroSciPy 2015 | Anne Weber
00:20:28

Modelling Complex Geochemical Processes | EuroSciPy 2015 | Anne Weber
Want drugs Use Python | EuroSciPy 2015 | Michal Nowotka
00:12:32

Want drugs Use Python | EuroSciPy 2015 | Michal Nowotka
Spimagine Interactive GPU Based Visualization and Processing | EuroSciPy 2015 | Martin Weigert
00:17:12

Spimagine Interactive GPU Based Visualization and Processing | EuroSciPy 2015 | Martin Weigert
Probabilistic Programming and Sports Analytics | EuroSciPy 2015 | Peadar Coyle
00:13:44

Probabilistic Programming and Sports Analytics | EuroSciPy 2015 | Peadar Coyle
Getting More Out of Matplotlib with GR | EuroSciPy 2015 | Josef Heinen
00:17:19

Getting More Out of Matplotlib with GR | EuroSciPy 2015 | Josef Heinen
klepto Unified Persistent Storage to Memory Disk or Database | EuroSciPy 2015 | Mike McKerns
00:13:42

klepto Unified Persistent Storage to Memory Disk or Database | EuroSciPy 2015 | Mike McKerns
Keynote | EuroSciPy 2015 | Randy LeVeque
00:56:49

Keynote | EuroSciPy 2015 | Randy LeVeque
ReciPy Effortless Provenance Tracking for Python | EuroSciPy 2015 | Robin Wilson
00:26:42

ReciPy Effortless Provenance Tracking for Python | EuroSciPy 2015 | Robin Wilson
pyMIC | EuroSciPy 2015 | Michael Klemm
00:13:46

pyMIC | EuroSciPy 2015 | Michael Klemm
Modeling Living Tissues with Python An Ongoing Project | EuroSciPy 2015 | Guillaume Gay
00:13:06

Modeling Living Tissues with Python An Ongoing Project | EuroSciPy 2015 | Guillaume Gay
Reverse Engineering Animal Vision with Virtual Reality | EuroSciPy 2015 | Santiago Villalba
00:23:47

Reverse Engineering Animal Vision with Virtual Reality | EuroSciPy 2015 | Santiago Villalba
ReScience Initiative | EuroSciPy 2015 | Nicolas Rougier Konrad Hinsen
00:15:30

ReScience Initiative | EuroSciPy 2015 | Nicolas Rougier Konrad Hinsen
Introduction | EuroSciPy 2015 | Didrik Pinte
00:05:39

Introduction | EuroSciPy 2015 | Didrik Pinte
Poster Sessions | EuroSciPy 2015 | Various Contributors
00:17:52

Poster Sessions | EuroSciPy 2015 | Various Contributors

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Course Description

Many scientific problems use statistical or Bayesian analysis tools to solve specific classes of problems. Although traditional usage was based on R programming, Python has become the de facto programming language for data scientists .
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