Teaching NumPy’s ufuncs new tricks
Summary
This article teaches new techniques and tricks for using universal functions (ufuncs) in NumPy, a Python library for numerical computing.
Similar Articles
Scaling NumPy on Free-Threaded Python
The article discusses efforts to improve NumPy's performance on free-threaded Python (Python without the Global Interpreter Lock), enabling better parallelism and scalability.
@KirkDBorne: Learn about NumPy for Python… here: https://amzn.to/465HI6k and here: http://numpy.org/learn/ #DataScience #DataScienti…
Promotional tweet about learning NumPy for Python, linking to the official guide book and the numpy.org/learn site.
Tracing np.add, all the way down
This blog post traces the execution of NumPy's np.add function from Python down to C, explaining the internal machinery and SIMD optimization involved in numerical addition.
@MIT_CSAIL: A guide to key Python functions & concepts, v/@PythonDvz.
A guide to key Python functions and concepts shared by MIT CSAIL and PythonDvz.
@KirkDBorne: Python for Engineering and Scientific Computing — Practical Applications with NumPy, SciPy, Matplotlib, and more: http:…
A practical guide to Python for engineers and scientists, covering NumPy, SciPy, Matplotlib, and more with exercises and real-world applications.