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Playlists · 40
All 40 playlists
- SciPy 2013: Scientific Computing with Python · 26 videos
- Tutorials | SciPy 2022 · 22 videos
- EuroSciPy 2014 · 18 videos
- SciPy Japan 2019: Scientific Computing with Python Conference · 18 videos
- SciPy Japan 2020: Scientific Computing with Python · 15 videos
- SciPy Japan 2020: Scientific Computing with Python Conference · 14 videos
- Data Life Cycle | SciPy 2022 · 11 videos
- Machine Learning & Data Science | SciPy 2022 · 9 videos
- SciPy 2020 Tutorials · 10 videos
- SciPy 2020 Machine Learning · 10 videos
- SciPy 2020 High Performance Python · 10 videos
- SciPy 2021 General Track · 9 videos
- SciPy 2021 Data Visualization and Image Processing Track · 8 videos
- SciPy 2021 Tutorials · 9 videos
- SciPy 2021 Scientific Applications of Machine Learning and Data Science Track · 9 videos
- SciPy 2020 Earth, Ocean Geo, & Atmospheric Science · 8 videos
- SciPy 2020 Biology & Bioinformatics · 7 videos
- General | SciPy 2022 · 7 videos
- Materials & Chemistry | SciPy 2022 · 7 videos
- SciPy 2020 General Track · 7 videos
- Earth, Ocean, Geo | SciPy 2022 · 6 videos
- SciPy 2021 Earth, Ocean, Geo, and Atmospheric Science · 6 videos
- SciPy 2020 Materials Science · 5 videos
- SciPy 2020 Astronomy & Astrophysics · 5 videos
- SciPy 2021 Computational Social Science and Digital Humanities · 5 videos
- Maintainers Track | SciPy 2022 · 4 videos
- SciPy 2021 Physics and Astronomy · 3 videos
- Physics & Astronomy | SciPy 2022 · 3 videos

A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
177K viewsNathaniel Smith and Stéfan van der Walt explain colour perception and perceptual uniformity, and how they designed viridis, Matplotlib's new default colormap.
36:043 Ways to Identify Digital Transformation Opportunities in Your R&D Lab
A 36-minute video from Enthought: “3 Ways to Identify Digital Transformation Opportunities in Your R&D Lab”.
1:04:43Accelerating Consumer Products Reformulation with Machine Learning
A 65-minute video from Enthought: “Accelerating Consumer Products Reformulation with Machine Learning”.
4:01Automating Sequence Stratigraphy with Deep Learning to Inform Oil & Gas Exploration and Production
A 4-minute video from Enthought: “Automating Sequence Stratigraphy with Deep Learning to Inform Oil & Gas Exploration and Production”.
57:18The Journey to Digital centric Chemicals and Materials Laboratories
A 57-minute video from Enthought: “The Journey to Digital centric Chemicals and Materials Laboratories”.
26:051000x Lab: Accelerating Materials R&D within Open Source Hardware and Software |SciPy 2020| Heiber
A 26-minute video from Enthought: “1000x Lab: Accelerating Materials R&D within Open Source Hardware and Software |SciPy 2020| Heiber”.
27:353D Drawing in Python: Reviving Visual | SciPy 2016 | Catherine Holloway
A 28-minute video from Enthought: “3D Drawing in Python: Reviving Visual | SciPy 2016 | Catherine Holloway”.
2:55:143D Visualization with Mayavi | SciPy 2018 Tutorial | Prabhu Ramachandran
A 175-minute video from Enthought: “3D Visualization with Mayavi | SciPy 2018 Tutorial | Prabhu Ramachandran”.
26:36A BLAS for Tensors with Portable High Performance | SciPy 2016 | Devin Matthews
A 27-minute video from Enthought: “A BLAS for Tensors with Portable High Performance | SciPy 2016 | Devin Matthews”.
32:00A Cloud Service to Record Simulation Metadata | SciPy 2015 | Yannick Congo
A 32-minute video from Enthought: “A Cloud Service to Record Simulation Metadata | SciPy 2015 | Yannick Congo”.
25:54A Common Scientific Compute Environment for Research and Education | SciPy 2014 | Dav Clark
A 26-minute video from Enthought: “A Common Scientific Compute Environment for Research and Education | SciPy 2014 | Dav Clark”.
23:53A Fast Template Periodogram for Finding Periodic Non Sinusoidal Waveforms in Noisy, Irregularly Samp
A 24-minute video from Enthought: “A Fast Template Periodogram for Finding Periodic Non Sinusoidal Waveforms in Noisy, Irregularly Samp”.
17:26A Framework for Analyzing GADGET Simulation Data in Pandas | SciPy 2015 | Jacob Hummel
A 17-minute video from Enthought: “A Framework for Analyzing GADGET Simulation Data in Pandas | SciPy 2015 | Jacob Hummel”.
17:33A Gentle Introduction To Machine Learning; SciPy 2013 Presentation
A 18-minute video from Enthought: “A Gentle Introduction To Machine Learning; SciPy 2013 Presentation”.
23:46A Geographers Journey into AI: Mapping Urban Trees from Scratch | SciPy 2019 |
A 24-minute video from Enthought: “A Geographers Journey into AI: Mapping Urban Trees from Scratch | SciPy 2019 |”.
15:54A New Partitioning Algorithm for Optimizing Parallelization of Flow Networks |SciPy 2020| Tiernan
A 16-minute video from Enthought: “A New Partitioning Algorithm for Optimizing Parallelization of Flow Networks |SciPy 2020| Tiernan”.
17:43A Pure Python GUI Tookit Based on Web Technology | EuroSciPy 2015 | Almar Klein
A 18-minute video from Enthought: “A Pure Python GUI Tookit Based on Web Technology | EuroSciPy 2015 | Almar Klein”.
25:43A Python API for Earth | SciPy 2017 | Sam Skillman
A 26-minute video from Enthought: “A Python API for Earth | SciPy 2017 | Sam Skillman”.
24:04A Python Framework for 3D Gamma Ray Imaging | SciPy 2014 | Ross Barnowski, Andrew Haefner
A 24-minute video from Enthought: “A Python Framework for 3D Gamma Ray Imaging | SciPy 2014 | Ross Barnowski, Andrew Haefner”.
14:18A Python based Post processing Toolset for Seismic Analyses | EuroSciPy 2014 | Steve Braiser
A 14-minute video from Enthought: “A Python based Post processing Toolset for Seismic Analyses | EuroSciPy 2014 | Steve Braiser”.
16:54A Rapidly-Adaptable Imaging & Measurement Platform for Cancer Research; SciPy 2013 Presentation
A 17-minute video from Enthought: “A Rapidly-Adaptable Imaging & Measurement Platform for Cancer Research; SciPy 2013 Presentation”.
15:33A Standardized Framework for Working with Met-Ocean Data | SciPy 2015 | Richard Signell
A 16-minute video from Enthought: “A Standardized Framework for Working with Met-Ocean Data | SciPy 2015 | Richard Signell”.
30:33A String Theorist's Journey with Python | SciPy 2016 | Chan Park
A 31-minute video from Enthought: “A String Theorist's Journey with Python | SciPy 2016 | Chan Park”.
25:21A Success Story in Using Python in a Graduate Chemical Engineering Course| SciPy 2014 | John Kitchin
A 25-minute video from Enthought: “A Success Story in Using Python in a Graduate Chemical Engineering Course| SciPy 2014 | John Kitchin”.
21:50A comprehensive look at representing physical quantities in Python; SciPy 2013 Presentation
A 22-minute video from Enthought: “A comprehensive look at representing physical quantities in Python; SciPy 2013 Presentation”.
22:38ANI-AIM: The Use of Machine Learning in Computational Chemistry- Kate Huddleston | SciPy 2022
A 23-minute video from Enthought: “ANI-AIM: The Use of Machine Learning in Computational Chemistry- Kate Huddleston | SciPy 2022”.
21:13ASDF, a New Scientific Data Format | SciPy 2015 | Perry Greenfield, Michael Droettboom & Erik Bray
A 21-minute video from Enthought: “ASDF, a New Scientific Data Format | SciPy 2015 | Perry Greenfield, Michael Droettboom & Erik Bray”.
25:58Accelerating ETL/SQL Workloads with RAPIDS-Dask + Dask-SQL - Charles Blackmon-Luca | SciPy 2022
A 26-minute video from Enthought: “Accelerating ETL/SQL Workloads with RAPIDS-Dask + Dask-SQL - Charles Blackmon-Luca | SciPy 2022”.
20:22Accelerating Python with the Numba JIT Compiler | SciPy 2015 | Stanley Seibert
A 20-minute video from Enthought: “Accelerating Python with the Numba JIT Compiler | SciPy 2015 | Stanley Seibert”.
21:26Accelerating Science with the GT4SD- Alexy Khrabrov | SciPy 2022
A 21-minute video from Enthought: “Accelerating Science with the GT4SD- Alexy Khrabrov | SciPy 2022”.
27:56Accelerating Spectroscopic Data Processing Using Python & GPUs on NERSC Supercomputers | SciPy 2021
A 28-minute video from Enthought: “Accelerating Spectroscopic Data Processing Using Python & GPUs on NERSC Supercomputers | SciPy 2021”.
3:33Accessing Elements from 1D Python Arrays
A 4-minute video from Enthought: “Accessing Elements from 1D Python Arrays”.
17:43Accessing the Virtual Observatory from Python; SciPy 2013 Presentation
A 18-minute video from Enthought: “Accessing the Virtual Observatory from Python; SciPy 2013 Presentation”.
19:03Activity Detection from GPS Tracker Data | SciPy 2014 | Jan Vandrol
A 19-minute video from Enthought: “Activity Detection from GPS Tracker Data | SciPy 2014 | Jan Vandrol”.
28:00Addressing Multithreading & Multiprocessing in Transparent & Pythonic Methods | SciPy 2018 | David L
A 28-minute video from Enthought: “Addressing Multithreading & Multiprocessing in Transparent & Pythonic Methods | SciPy 2018 | David L”.
18:15Advanced 3D Seismic Visualizations in Python | SciPy 2014 | Joe Kington
A 18-minute video from Enthought: “Advanced 3D Seismic Visualizations in Python | SciPy 2014 | Joe Kington”.
Books that go with these videos
- Python Crash Course, Eric MatthesThe best beginner book
- Fluent Python, Luciano RamalhoFor writing idiomatic Python
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