Optimizing Python Code for Better Performance – Practical_ numpy, numba, and cython (7 of 8)

Optimizing Python Code for Better Performance – Practical_ numpy, numba, and cython (7 of 8) {Celebrity |Famous |}%title%{ Net Worth| Wealth| Profile}
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YouTube Excerpt: The video was recorded live during the SIB course “Optimizing Python Code for Better Performance” streamed on 10 November 2023. The course materials can be found on the dedicated GitHub repo https://github.com/sib-swiss/intermediate-python-training. This course is addressed to life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements and would like to write more efficient code in order to crunch more data faster. Speaker(s): Dr. Wandrille Duchemin and Dr Robin Engler, SIB Swiss Institute of Bioinformatics Learning outcomes: - Monitor and identify computational bottlenecks in their python code - Summarize and perform quality control on their data - Re-implement specific functions using cython or numba - Test and evaluate the impact of their optimization strategy This video is available under the creative commons license CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/.

The video was recorded live during the SIB course “Optimizing Python Code for Better Performance” streamed on 10 November 2023. The course...

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