Re: Textbook Recommendations

Britta Smith <[email protected]> Wed, 15 Feb 2023 10:57:12 -0700
Newsgroups gmane.comp.python.scientific.user
Message-ID <CAGQ-W9g64nsPMHFaW3Y1uNn7mXQHLFJoB8bg6zecABmN0KUG9A@mail.gmail.com>
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Thank you!!!
A statistician friend recommended Introduction to Linear Regression,
thoughts?

On Wed, Feb 15, 2023 at 10:44 AM David Nicholson <[email protected]>
wrote:

> 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]
>>
> _______________________________________________
> 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 class=3D"gmail_default" style=3D"font-family:tahoma,s=
ans-serif;font-size:small;color:#3d85c6">Thank you!!!</div><div class=3D"gm=
ail_default" style=3D"font-family:tahoma,sans-serif;font-size:small;color:#=
3d85c6">A statistician=C2=A0friend recommended Introduction to Linear Regre=
ssion, thoughts?</div></div><br><div class=3D"gmail_quote"><div dir=3D"ltr"=
 class=3D"gmail_attr">On Wed, Feb 15, 2023 at 10:44 AM David Nicholson &lt;=
<a href=3D"mailto:[email protected]">[email protected]</a>&gt; wrote:<b=
r></div><blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex=
;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir=3D"ltr">=
<div>fwiw, some books from the Executable Books gallery (<a href=3D"https:/=
/executablebooks.org/en/latest/gallery/" target=3D"_blank">https://executab=
lebooks.org/en/latest/gallery/</a>)</div><div><br></div><div><a href=3D"htt=
ps://gulinan.github.io/mat244e/" target=3D"_blank">https://gulinan.github.i=
o/mat244e/</a></div><div><a href=3D"http://theoryandpractice.org/stats-ds-b=
ook/intro.html" target=3D"_blank">http://theoryandpractice.org/stats-ds-boo=
k/intro.html</a></div><div><br></div><div>See also this translating Daniell=
e Navarro&#39;s Learning Stats with R to Python:</div><div><a href=3D"https=
://ethanweed.github.io/pythonbook/landingpage.html" target=3D"_blank">https=
://ethanweed.github.io/pythonbook/landingpage.html</a></div><div><br></div>=
<div><div><div dir=3D"ltr"><div dir=3D"ltr"><div><div dir=3D"ltr"><div><div=
 dir=3D"ltr"><div><div dir=3D"ltr"><div><div dir=3D"ltr"><div><div dir=3D"l=
tr">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"ht=
tps://github.com/NickleDave" target=3D"_blank">https://github.com/NickleDav=
e</a></div></div></div></div></div></div></div></div></div></div></div></di=
v></div><br></div></div><br><div class=3D"gmail_quote"><div dir=3D"ltr" cla=
ss=3D"gmail_attr">On Wed, Feb 15, 2023 at 11:47 AM Albert Steppi &lt;<a hre=
f=3D"mailto:[email protected]" target=3D"_blank">albert.steppi@gmail.=
com</a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"marg=
in:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1e=
x"><div dir=3D"ltr"><div>Hi Britta,<br></div><div><br></div><div>I haven&#3=
9;t read anything Python specific, but I like the following books:</div><di=
v><br></div><div>For basic introductory stats, <a href=3D"https://wwnorton.=
com/books/Statistics/" target=3D"_blank">Freedman, Pisani, and Purves</a></=
div><div><br></div><div>As a follow up, Freedman&#39;s <a href=3D"https://w=
ww.cambridge.org/core/books/statistical-models/68F8872C7788AF62BD6513F7071E=
E1BA#fndtn-information" target=3D"_blank">Statistical Models: Theory and Pr=
actice</a>, teaches one to think critically about regression modeling and i=
ts limitations.</div><div><br></div><div>Efron and Hasties <a href=3D"https=
://hastie.su.domains/CASI_files/PDF/casi.pdf" target=3D"_blank">Computer Ag=
e Statistical Inference</a>, for a very broad overview of a wide range of c=
omputational statistics topics.</div><div><br></div><div>Hastie, Tibshirani=
, and Friedman&#39;s <a href=3D"https://hastie.su.domains/Papers/ESLII.pdf"=
 target=3D"_blank">Elements of Statistical Learning</a>, classic introducti=
on to statistical machine learning.</div><div><br></div><div>Gelman et al&#=
39;s <a href=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 any other books on this topic.</div><div><br></div><div>I tend to=
 just read the relevant documentation (pymc, pyro, pytorch, scikit-learn, s=
cipy, statsmodels) to figure out how to do things in Python. Hopefully some=
one 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><b=
r><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:bretana1226@gma=
il.com" target=3D"_blank">[email protected]</a>&gt; wrote:<br></div><bl=
ockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-lef=
t:1px solid rgb(204,204,204);padding-left:1ex">Dear SciPy community,<div di=
r=3D"auto">What are your recommendations for textbooks concerning statistic=
s and data science? That hopefully go into depth about regression, and hope=
fully python.</div><div dir=3D"auto">Many thanks,</div><div dir=3D"auto">Br=
itta</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>
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=3D"_blank">[email protected]</a><br>
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el=3D"noreferrer" target=3D"_blank">https://mail.python.org/mailman3/lists/=
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[email protected]</a><br>
</blockquote></div>
_______________________________________________<br>
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=3D"_blank">[email protected]</a><br>
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el=3D"noreferrer" target=3D"_blank">https://mail.python.org/mailman3/lists/=
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[email protected]</a><br>
</blockquote></div>

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