Numpy Log Base 2
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Numpy Log Base 2
![4. NumPy Basics: Arrays and Vectorized Computation - Python for Data Analysis [Book]](https://www.oreilly.com/api/v2/epubs/9781449323592/files/httpatomoreillycomsourceoreillyimages2172114.png "4. NumPy Basics: Arrays and Vectorized Computation - Python for Data Analysis [Book]")
4. NumPy Basics: Arrays and Vectorized Computation - Python for Data Analysis [Book]
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log2` way slower than `log` or `log10` · Issue #13836 · numpy/numpy · GitHub
numpy.log() or np.log() in Python - ABAYTHON
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optimization - How to use log base 2 with GEKKO (Python) - Stack Overflow
numpy.log() or np.log() in Python - ABAYTHON
