Re: Textbook Recommendations

David Nicholson <[email protected]> Wed, 15 Feb 2023 12:42:48 -0500
Newsgroups gmane.comp.python.scientific.user
Message-ID <CAMabFbWwJRzrT4TBDdH6sytxdSONv4y-+1Qzdt4nErra2b3YQQ@mail.gmail.com>
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fwiw, some books from the Executable Books gallery (
https://executablebooks.org/en/latest/gallery/)

https://gulinan.github.io/mat244e/
http://theoryandpractice.org/stats-ds-book/intro.html

See also this translating Danielle Navarro's Learning Stats with R to
Python:
https://ethanweed.github.io/pythonbook/landingpage.html

David Nicholson, Ph.D.
https://nicholdav.info/
https://github.com/NickleDave


On Wed, Feb 15, 2023 at 11:47 AM Albert Steppi <[email protected]>
wrote:

> Hi Britta,
>
> I haven't read anything Python specific, but I like the following books:
>
> For basic introductory stats, Freedman, Pisani, and Purves
> <https://wwnorton.com/books/Statistics/>
>
> As a follow up, Freedman's Statistical Models: Theory and Practice
> <https://www.cambridge.org/core/books/statistical-models/68F8872C7788AF62BD6513F7071EE1BA#fndtn-information>,
> teaches one to think critically about regression modeling and its
> limitations.
>
> Efron and Hasties Computer Age Statistical Inference
> <https://hastie.su.domains/CASI_files/PDF/casi.pdf>, for a very broad
> overview of a wide range of computational statistics topics.
>
> Hastie, Tibshirani, and Friedman's Elements of Statistical Learning
> <https://hastie.su.domains/Papers/ESLII.pdf>, classic introduction to
> statistical machine learning.
>
> Gelman et al's Bayesian Data Analysis
> <http://www.stat.columbia.edu/~gelman/book/BDA3.pdf> for Bayesian
> modeling, but I haven't read any other books on this topic.
>
> I tend to just read the relevant documentation (pymc, pyro, pytorch,
> scikit-learn, scipy, statsmodels) to figure out how to do things in Python.
> Hopefully someone else can chime in with more Python specific books.
>
> Best,
> Albert
>
>
>
> On Wed, Feb 15, 2023 at 10:31 AM Britta Smith <[email protected]>
> wrote:
>
>> Dear SciPy community,
>> What are your recommendations for textbooks concerning statistics and
>> data science? That hopefully go into depth about regression, and hopefully
>> python.
>> Many thanks,
>> Britta
>> _______________________________________________
>> SciPy-User mailing list -- [email protected]
>> To unsubscribe send an email to [email protected]
>> https://mail.python.org/mailman3/lists/scipy-user.python.org/
>> Member address: [email protected]
>>
> _______________________________________________
> SciPy-User mailing list -- [email protected]
> To unsubscribe send an email to [email protected]
> https://mail.python.org/mailman3/lists/scipy-user.python.org/
> Member address: [email protected]
>

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<div dir=3D"ltr"><div>fwiw, some books from the Executable Books gallery (<=
a href=3D"https://executablebooks.org/en/latest/gallery/">https://executabl=
ebooks.org/en/latest/gallery/</a>)</div><div><br></div><div><a href=3D"http=
s://gulinan.github.io/mat244e/">https://gulinan.github.io/mat244e/</a></div=
><div><a href=3D"http://theoryandpractice.org/stats-ds-book/intro.html">htt=
p://theoryandpractice.org/stats-ds-book/intro.html</a></div><div><br></div>=
<div>See also this translating Danielle Navarro&#39;s Learning Stats with R=
 to Python:</div><div><a href=3D"https://ethanweed.github.io/pythonbook/lan=
dingpage.html">https://ethanweed.github.io/pythonbook/landingpage.html</a><=
/div><div><br></div><div><div><div dir=3D"ltr" class=3D"gmail_signature" da=
ta-smartmail=3D"gmail_signature"><div dir=3D"ltr"><div><div dir=3D"ltr"><di=
v><div dir=3D"ltr"><div><div dir=3D"ltr"><div><div dir=3D"ltr"><div><div di=
r=3D"ltr">David Nicholson, Ph.D.<br></div><div><a href=3D"https://nicholdav=
.info/" target=3D"_blank">https://nicholdav.info/</a><br></div><div><a href=
=3D"https://github.com/NickleDave" target=3D"_blank">https://github.com/Nic=
kleDave</a></div></div></div></div></div></div></div></div></div></div></di=
v></div></div><br></div></div><br><div class=3D"gmail_quote"><div dir=3D"lt=
r" class=3D"gmail_attr">On Wed, Feb 15, 2023 at 11:47 AM Albert Steppi &lt;=
<a href=3D"mailto:[email protected]">[email protected]</a>&gt; =
wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0=
px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir=
=3D"ltr"><div>Hi Britta,<br></div><div><br></div><div>I haven&#39;t read an=
ything Python specific, but I like the following books:</div><div><br></div=
><div>For basic introductory stats, <a href=3D"https://wwnorton.com/books/S=
tatistics/" target=3D"_blank">Freedman, Pisani, and Purves</a></div><div><b=
r></div><div>As a follow up, Freedman&#39;s <a href=3D"https://www.cambridg=
e.org/core/books/statistical-models/68F8872C7788AF62BD6513F7071EE1BA#fndtn-=
information" target=3D"_blank">Statistical Models: Theory and Practice</a>,=
 teaches one to think critically about regression modeling and its limitati=
ons.</div><div><br></div><div>Efron and Hasties <a href=3D"https://hastie.s=
u.domains/CASI_files/PDF/casi.pdf" target=3D"_blank">Computer Age Statistic=
al Inference</a>, for a very broad overview of a wide range of computationa=
l statistics topics.</div><div><br></div><div>Hastie, Tibshirani, and Fried=
man&#39;s <a href=3D"https://hastie.su.domains/Papers/ESLII.pdf" target=3D"=
_blank">Elements of Statistical Learning</a>, classic introduction to stati=
stical machine learning.</div><div><br></div><div>Gelman et al&#39;s <a hre=
f=3D"http://www.stat.columbia.edu/~gelman/book/BDA3.pdf" target=3D"_blank">=
Bayesian Data Analysis</a> for Bayesian modeling, but I haven&#39;t read an=
y other books on this topic.</div><div><br></div><div>I tend to just read t=
he relevant documentation (pymc, pyro, pytorch, scikit-learn, scipy, statsm=
odels) to figure out how to do things in Python. Hopefully someone else can=
 chime in with more Python specific books.</div><div><br></div><div>Best,</=
div><div>Albert<br></div><div><br></div><div><br></div></div><br><div class=
=3D"gmail_quote"><div dir=3D"ltr" class=3D"gmail_attr">On Wed, Feb 15, 2023=
 at 10:31 AM Britta Smith &lt;<a href=3D"mailto:[email protected]" targ=
et=3D"_blank">[email protected]</a>&gt; wrote:<br></div><blockquote cla=
ss=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left:1px solid =
rgb(204,204,204);padding-left:1ex">Dear SciPy community,<div dir=3D"auto">W=
hat are your recommendations for textbooks concerning statistics and data s=
cience? That hopefully go into depth about regression, and hopefully python=
.</div><div dir=3D"auto">Many thanks,</div><div dir=3D"auto">Britta</div>
_______________________________________________<br>
SciPy-User mailing list -- <a href=3D"mailto:[email protected]" target=
=3D"_blank">[email protected]</a><br>
To unsubscribe send an email to <a href=3D"mailto:[email protected]=
rg" target=3D"_blank">[email protected]</a><br>
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el=3D"noreferrer" target=3D"_blank">https://mail.python.org/mailman3/lists/=
scipy-user.python.org/</a><br>
Member address: <a href=3D"mailto:[email protected]" target=3D"_blank=
">[email protected]</a><br>
</blockquote></div>
_______________________________________________<br>
SciPy-User mailing list -- <a href=3D"mailto:[email protected]" target=
=3D"_blank">[email protected]</a><br>
To unsubscribe send an email to <a href=3D"mailto:[email protected]=
rg" target=3D"_blank">[email protected]</a><br>
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el=3D"noreferrer" target=3D"_blank">https://mail.python.org/mailman3/lists/=
scipy-user.python.org/</a><br>
Member address: <a href=3D"mailto:[email protected]" target=3D"_blank">ni=
[email protected]</a><br>
</blockquote></div>

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