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Update week34.do.txt

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Morten Hjorth-Jensen
2023-08-20 20:39:45 +02:00
parent 60d18f6535
commit aba7c2cd5e
1 changed files with 3 additions and 5 deletions
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doc/src/week34/week34.do.txt
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@@ -582,8 +582,8 @@ use Python during our lectures and in various projects and exercises.
Those of you
already familiar with _R_ should feel free to continue using _R_, keeping
however an eye on the parallel Python set ups. Similarly, if you are a
Python afecionado, feel free to explore _R_ as well. Jupyter/Ipython
notebook allows you to run _R_ codes interactively in your
Python afecionado, feel free to explore _R_ as well. Jupyter(Julia, Python and R) /Ipython
notebook allows you to run _R_ codes and _Julia_ codes interactively in your
browser. The software library _R_ is really tailored for statistical data analysis
and allows for an easy usage of the tools and algorithms we will discuss in these
lectures.
@@ -620,9 +620,7 @@ pycod jupyter nbconvert filename.ipynb --to latex
And to add more versatility, the Python package "SymPy":"http://www.sympy.org/en/index.html" is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) and is entirely written in Python.
Finally, if you wish to use the light mark-up language
"doconce":"https://github.com/hplgit/doconce" you can convert a standard ascii text file into various HTML
formats, ipython notebooks, latex files, pdf files etc with minimal edits. These lectures were generated using _doconce_.
Finally, we recommend strongly using Autograd or JAX for automatic differentiation.
!split