| Description |
1 online resource (1 streaming video file (4 hr., 12 min., 21 sec.)) |
| Performer |
Presenter, Mohammed Kashif. |
| Note |
Title from resource description page (Safari, viewed April 17, 2019). |
| Summary |
"This course will teach you how to use Python on parallel architectures. You'll learn to use the power of NumPy, SciPy, and Cython to speed up computation. Then you will get to grips with optimizing critical parts of the kernel using various tools. You will also learn how to optimize your programmer using Numba. You'll learn how to perform large-scale computations using Dask and implement distributed applications in Python; finally, you'll construct robust and responsive apps using Reactive programming. By the end, you will have gained a solid knowledge of the most common tools to get you started on HPC with Python."--Resource description page |
| Subject |
Python (Computer program language)
|
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Electronic data processing -- Distributed processing -- Management.
|
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Application software -- Development.
|
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Python (Langage de programmation) |
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Logiciels d'application -- Développement. |
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Application software -- Development. |
|
Electronic data processing -- Distributed processing -- Management. |
|
Python (Computer program language) |
| Genre |
Instructional films.
|
|
Instructional films.
|
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Films de formation.
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