Advanced NumPy | SciPy Japan 2019 Tutorial | Juan Nunuz-Iglesias
A hands on tutorial covering broadcasting rules, strides / stride tricks and advanced indexing.
Prerequisites: Comfortable with Python syntax, and some familiarity with NumPy / array computing.
Bio: Juan Nunez-Iglesias is a Research Fellow and CZI Imaging Software Fellow at Monash University in Melbourne, Australia. He is a core developer of scikit-image and has taught scientific Python at SciPy, EuroSciPy, the G-Node Summer School, and at other workshops. He is the co-author of the O’Reilly title “Elegant SciPy”.