NumPy and SciPy were developed by engineers. Do they mean to imply that MATLAB is not designed and documented by advanced programmers? The reality is that many of the Python packages for scientific computing, e.g. The definition of an advanced programmer is imprecise and subjective. Python functions are typically designed and documented by advanced programmers for other experienced programmers. They shouldn’t have to adapt the way they work to fit their tools. They use the following code examples to illustrate their point and even go as far to claim that their is a mistake in the Python operations.Įngineers and scientists deserve tools that fit the way they work. The first claim is that MATLAB code is more readable to scientists and engineers than Python code that performs a similar task. I'll attempt to counter many of those claims in this post.
While a few of the claims in the post are true, the vast majority of them are seriously misleading. It is distributed and used typically through a very polished integrated development environment (IDE) and has many add-on toolboxes for a vast array of scientific computing tasks. MATLAB is a useful and powerful computing language and a lot more. I was recently made aware of a post on the Mathworks website where they compare MATLAB and Python in an attempt to make the case that MATLAB is a superior language for engineering and scientific computation. The hyperlink to the original post below has been replaced on the Mathworks website with links to Python/Matlab interoperability features. However, there may be other useful tips contained in the notebook, so I am posting it anyway.
MATLAB VS PYTHON MACHINE LEARNING UPDATE
UPDATE : Mathworks removed the original post this blog was meant to address around the time I completed writing it.
0 kommentar(er)
