Publications by authors named "K Jarrod Millman"

Article Synopsis
  • Array programming offers a compact and powerful way to handle data in vectors and matrices, making it easier to manipulate and analyze large datasets.
  • NumPy is the main library for array programming in Python, playing a crucial role across various fields like physics, biology, and finance, including significant contributions to discoveries like gravitational waves and black hole imaging.
  • NumPy serves as a foundation for the scientific Python ecosystem, facilitating interoperability between different libraries and providing a flexible framework for future scientific and industrial analysis.
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SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.

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We describe a project-based introduction to reproducible and collaborative neuroimaging analysis. Traditional teaching on neuroimaging usually consists of a series of lectures that emphasize the big picture rather than the foundations on which the techniques are based. The lectures are often paired with practical workshops in which students run imaging analyses using the graphical interface of specific neuroimaging software packages.

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