SciPy 2018 Tutorials

The SciPy Conference kicks off with two days of tutorials (July 9-10) that take place before the general conference. These sessions provide amazing access to expert training and consistently receive fantastic feedback from participants.

This year you can choose from 23 different SciPy tutorials OR the 2 day Software Carpentry Instructor Training.

New to Python? Check out our Introductory Track:

Introduction to Python July 9 at 8:00

NumPy July 9 at 1:30

Anatomy of Matplotlib July 10 at 8:00

Pandas July 10 at 1:30

07/09/2018 - 07/10/2018

8:00 am-5:30 pm	Software Carpentry Instructor Training (July 9-10) [More Info] Room 103 Speaker: Software Carpentry Team

07/09/2018

8:00 am	Introduction to Python and Programming (Beginner Level) [More Info] Room 202 Speaker: Matt Davis, Clover Health Speaker: Alyssa Whitwell, Clover Health
8:00 am	PyViz: Easy Visualization and Exploration for all your Data [More Info] Room 105 Speaker: James A. Bednar, Solutions Architect, Anaconda, Inc. Speaker: Jean-Luc Stevens, Software Engineer, Anaconda, Inc. Speaker: Christopher Ball, Anaconda, Inc.
8:00 am	Parallelizing Scientific Python with Dask [More Info] Room 106 Speaker: James Crist, Anaconda, Inc. Speaker: Martin Durant, Anaconda Inc.
8:00 am	Around the World in 80 Ways: An Introduction to Working with Geodata and Cartopy [More Info] Room 201 Speaker: Philip Elson, Met Office Speaker: Bill Little, Met Office
8:00 am	Network Analysis Made Simple: Network Fundamentals [More Info] Room 101 Speaker: Eric Ma, Novartis Institutes for Biomedical Research Speaker: Mridul Seth, BITS Pilani KK Birla Goa Campus
8:00 am	Getting Started with TensorFlow [More Info] Room 203 Speaker: Josh Gordon, Google
Noon-1:30	Lunch Break See "Venue and Local Info" tab for suggestions
1:30 pm	Introduction to Numerical Computing with NumPy (Beginner Level) [More Info] Room 202 Speaker: Alexandre Chabot-LeClerc, Enthought
1:30 pm	3D Visualization with Mayavi [More Info] Room 105 Speaker: Prabhu Ramachandran, Enthought and IIT Bombay
1:30 pm	An Introduction to Julia (Beginner Level) [More Info] Room 201 Speaker: Jane Herriman, Director of Diversity and Outreach , Julia Computing Speaker: Sacha Verweij, Stanford University
1:30 pm	Image Analysis in Python with SciPy and scikit-image [More Info] Room 106 Speaker: Stéfan van der Walt, University of California, Berkeley Speaker: Juan Nunez-Iglesias, University of Melbourne Speaker: Joshua Warner, Core Developer, Scikit Image/University of Arizona
1:30 pm	Software Engineering Techniques (Beginner Level) [More Info] Room 203 Speaker: Matt Davis, Clover Health Speaker: Alyssa Whitwell, Clover Health
1:30 pm	Information Extraction Using Topic Models [More Info] Room 101 Speaker: Parul Sethi, University of Delhi

07/10/2018

8:00 am	Anatomy of Matplotlib (Beginner Level) [More Info] Room 202 Speaker: Ben Root, Atmospheric and Environmental Research, Inc/Matplotlib Speaker: Hannah Aizenman, City University of New York
8:00 am	Machine Learning with scikit-learn Part 1 [More Info] Room 203 Speaker: Andreas Mueller, Columbia University Speaker: Guillaume Lemaitre, INRIA Saclay - Parietal team
8:00 am	Getting Started with JupyterLab (Beginner Level) [More Info] Room 105 Speaker: Matthias Bussonnier, Jupyter/Ipython, University of California, Berkeley Speaker: Jason Grout, Bloomberg LP
8:00 am	Introduction to Geospatial Data Analysis with Python [More Info] Room 106 Speaker: Serge Rey, University of California, Riverside Speaker: Dani Arribas-Bel, University of Liverpool Speaker: Joris Van den Bossche, Université Paris-Saclay Center for Data Science Speaker: Levi Wolf, University of Bristol
8:00 am	Scientific MicroPython on Microcontrollers [More Info] Room 101 Speaker: Roberto Colistete Jr, Federal University of Espirito Santo, Brazil
8:00 am	Setting Up Your Own Open Source Project [More Info] Room 201 Speaker: Ryan May, UCAR/Unidata Speaker: John Leeman, UCAR/Unidata
Noon-1:30	Lunch Break See "Venue and Local Info" tab for suggestions
1:30 pm	pandas .head() to .tail() (Beginner Level) [More Info] Room 105 Speaker: Dillon Niederhut, Enthought Speaker: Tom Augspurger, Anaconda, Inc. Speaker: Joris Van den Bossche, Université Paris-Saclay Center for Data Science
1:30 pm	Machine Learning with scikit-learn Part 2 [More Info] Room 203 Speaker: Andreas Mueller, Columbia University Speaker: Guillaume Lemaitre, INRIA Saclay - Parietal team
1:30 pm	Hands-on Satellite Imagery Analysis [More Info] Room 201 Speaker: Sara Safavi, Planet Speaker: Dana Bauer, Planet
1:30 pm	The Jupyter Interactive Widget Ecosystem [More Info] Room 202 Speaker: Matt Craig, Minnesota State University Moorhead Speaker: Jason Grout, Bloomberg LP Speaker: Sylvain Corlay, QuantStack Speaker: Maarten Breddels, Kapteyn Astronomical Institute, University of Groningen
1:30 pm	The Sheer Joy of Packaging [More Info] Room 101 Speaker: Michael Sarahan, Anaconda, Inc. Speaker: Matthew McCormick, Kitware, Inc. Speaker: Jean-Christophe Fillion-Robin, Kitware, Inc. Speaker: Filipe Fernandes, SECOORA Speaker: Chris Barker, NOAA Speaker: Matt Craig, Minnesota State University Moorhead Speaker: Jonathan Helmus, Anaconda, Inc. Speaker: Ray Donnelly, Anaconda, Inc.
1:30 pm	Bayesian Data Science Two Ways: Simulation and Probabilistic Programming [More Info] Room 106 Speaker: Eric Ma, Novartis Institutes for Biomedical Research Speaker: Hugo Bowne-Anderson, DataCamp