SciPy 2017

Machine Learning with scikit learn Part One | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram

Introduction to Numerical Computing with NumPy | SciPy 2017 Tutorial | Dillon Niederhut

Modern Optimization Methods in Python | SciPy 2017 Tutorial | Michael McKerns

Computational Statistics | SciPy 2017 Tutorial | Allen Downey

Keynote - Academic Open Source | SciPy 2017 | Kathryn Huff

Big Data Processing with Apache Beam Python | SciPy 2017 | Robert Bradshaw

SciSheets Providing the Power of Programming with the Simplicity of Spreadsheets | SciPy 2017 | Jo

A Python API for Earth | SciPy 2017 | Sam Skillman

Parallel Data Analysis in Python | SciPy 2017 Tutorial | Matthew Rocklin, Ben Zaitlen & Aron Ahmadia

Sacred How I Learned to Stop Worrying and Love the Research | SciPy 2017 | Klaus Greff

Machine Learning with scikit learn Part Two | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram

Numba - Tell Those C++ Bullies to Get Lost | SciPy 2017 Tutorial | Gil Forsyth & Lorena Barba

Keynote - Coding for Science and Innovation | SciPy 2017 | Gaël Varoquaux

Bringing the Generic Mapping Tools to Python | SciPy 2017 | Leonardo Uieda & Paul Wessel

Scientific Analysis at Scale - a Comparison of Five Systems | SciPy 2017 | Jake VanderPlas

Anatomy of Matplotlib | SciPy 2017 Tutorial | Ben Root

The Spyder Ecosystem of Plugins | SciPy 2017 | Carlos Cordoba

Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par

Interactive Data Visualization with HoloViews & Bokeh | SciPy 2017 Tutorial | Jean Luc Stevens & Bry

Learning in Cycles Implementing Sustainable Machine Learning Models in Production | SciPy 2017 | And

Berryconda Scientific Python on the Raspberry Pi | SciPy 2017 | Jonathan Helmus

Parallelizing Scientific Python with Dask | SciPy 2017 Tutorial | James Crist

Cython for Data, Scientists, and Data Scientists | SciPy 2017 Tutorial | Dillon Niederhut, Prabhu

Global 5 Meter Resolution Time Series Mosaics | SciPy 2017 | Amit Kapadia