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Introduction to Python for Computational Science and Engineering [pdf]
51–55 of 55 posts
Re: Introduction to Python for Computational Science and Engineering [pdf]
#52Earlier quoted context omitted.
For me it is one of the signs why the Python 2/3 division was a failure. In data science, everything is Python 2 first, then (usually, but almost always with some delay) ported to Python 3 (think: Spark, TensorFlow, etc). If there is a new package (say, on HN), very often it does not work (well) on Python 3. I use Python 3 (usually), but it makes it harder to do with data science, as often I need to overcome some sma…
What kind of issues have you run into with Python 3 that make data science more difficult? I use Python 3 as well, and I don't think I've run into anything that fits your description...
At the same time, I hardy see any strong points, in which Python 3 is much better for data science. (Examples?)
Re: Introduction to Python for Computational Science and Engineering [pdf]
#53Hi all, I am the author of the book. There is a Python 3 version of the book available at http://www.southampton.ac.uk/~fangohr/teaching/python/book.h... This also includes Jupyter Notebook files for those who want to execute (and play around with) the chapter content interactively. Thank you for all the comments and discussion. Hans (fangohr@soton.ac.uk)
But one small question: do you plan, by any chance, upload your notebooks to GitHub (or any other place, where one can easily see a rendered version; BTW one more selling point of Jupyter - the easiness to share)?
Re: Introduction to Python for Computational Science and Engineering [pdf]
#54Hi all, I am the author of the book. There is a Python 3 version of the book available at http://www.southampton.ac.uk/~fangohr/teaching/python/book.h... This also includes Jupyter Notebook files for those who want to execute (and play around with) the chapter content interactively. Thank you for all the comments and discussion. Hans (fangohr@soton.ac.uk)
It looks wonderful! Just yesterday I did a quick workshop introducing neuroscience to scientific Python, in the Jupyter Notebook environment (very rough version here: https://github.com/stared/python-neuroaspects-2016 , before updates). I will definitely sent the participants a link to your book. But one small question: do you plan, by any chance, upload your notebooks to GitHub (or any other place, where one can eas…
Re: Introduction to Python for Computational Science and Engineering [pdf]
#55Also an impressive line up of scientific tools that will drop Python 2 support by 2020: http://www.python3statement.org
(And for completeness: the book discussed in this thread is available for Python 3 at http://www.southampton.ac.uk/~fangohr/teaching/python/book.h... )