Re: Textbook Recommendations

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I just saw a recent book using Python

Wiley.com. =E2=80=9CApplied Univariate, Bivariate, and Multivariate Statist=
ics
Using Python: A Beginner=E2=80=99s Guide to Advanced Data Analysis | Wiley.=
=E2=80=9D
Accessed February 22, 2023.
https://www.wiley.com/en-us/Applied+Univariate%2C+Bivariate%2C+and+Multivar=
iate+Statistics+Using+Python%3A+A+Beginner%27s+Guide+to+Advanced+Data+Analy=
sis-p-9781119578185
.


On Wed, Feb 15, 2023 at 5:56 PM Britta Smith <[email protected]> wrote:

> thank you sean
>
> On Wed, Feb 15, 2023 at 11:38 AM Sean Berry <[email protected]> wrote:
>
>> Hi Britta,
>>
>> Here is one that includes regression and machine learning that I've foun=
d
>> useful:
>>
>> Hands-On machine learning with scikit-learn, keras, & tensor flow.
>> Written by Aurelien Geron.
>>
>> Sean
>>
>> On Wed, Feb 15, 2023, 9:46 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/68F8872C7788AF=
62BD6513F7071EE1BA#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 Pyt=
hon.
>>> 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 hopef=
ully
>>>> 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]
>>
> _______________________________________________
> 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">I just saw a recent book using Python<div><br></div><div><=
div class=3D"gmail-csl-bib-body" style=3D"line-height:1.35;margin-left:2em"=
>
  <div class=3D"gmail-csl-entry">Wiley.com. =E2=80=9CApplied Univariate, Bi=
variate, and Multivariate Statistics Using Python: A Beginner=E2=80=99s Gui=
de to Advanced Data Analysis | Wiley.=E2=80=9D Accessed February 22, 2023. =
<a href=3D"https://www.wiley.com/en-us/Applied+Univariate%2C+Bivariate%2C+a=
nd+Multivariate+Statistics+Using+Python%3A+A+Beginner%27s+Guide+to+Advanced=
+Data+Analysis-p-9781119578185">https://www.wiley.com/en-us/Applied+Univari=
ate%2C+Bivariate%2C+and+Multivariate+Statistics+Using+Python%3A+A+Beginner%=
27s+Guide+to+Advanced+Data+Analysis-p-9781119578185</a>.</div><div class=3D=
"gmail-csl-entry"><br></div>
  <span class=3D"gmail-Z3988" title=3D"url_ver=3DZ39.88-2004&amp;ctx_ver=3D=
Z39.88-2004&amp;rfr_id=3Dinfo%3Asid%2Fzotero.org%3A2&amp;rft_val_fmt=3Dinfo=
%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&amp;rft.type=3Dwebpage&amp;rft.title=3DApplie=
d%20Univariate%2C%20Bivariate%2C%20and%20Multivariate%20Statistics%20Using%=
20Python%3A%20A%20Beginner&#39;s%20Guide%20to%20Advanced%20Data%20Analysis%=
20%7C%20Wiley&amp;rft.description=3DApplied%20Univariate%2C%20Bivariate%2C%=
20and%20Multivariate%20Statistics%20Using%20Python%20A%20practical%2C%20%E2=
%80%9Chow-to%E2%80%9D%20reference%20for%20anyone%20performing%20essential%2=
0statistical%20analyses%20and%20data%20management%20tasks%20in%20PythonAppl=
ied%20Univariate%2C%20Bivariate%2C%20and%20Multivariate%20Statistics%20Usin=
g%20Python%20delivers%20a%20comprehensive%20introduction%20to%20a%20wide%20=
range%20of%20statistical%20methods%20performed%20using%20Python%20in%20a%20=
single%2C%20one-stop%20reference.%20The%20book%20contains%20user-friendly%2=
0guidance%20and%20instructions%20on%20using%20Python%20to%20run%20a%20varie=
ty%20of%20statistical%20procedures%20without%20getting%20bogged%20down%20in=
%20unnecessary%20theory.%20Throughout%2C%20the%20author%20emphasizes%20a%20=
set%20of%20computational%20tools%20used%20in%20the%20discovery%20of%20empir=
ical%20patterns%2C%20as%20well%20as%20several%20popular%20statistical%20ana=
lyses%20and%20data%20management%20tasks%20that%20can%20be%20immediately%20a=
pplied.Most%20of%20the%20datasets%20used%20in%20the%20book%20are%20small%20=
enough%20to%20be%20easily%20entered%20into%20Python%20manually%2C%20though%=
20they%20can%20also%20be%20downloaded%20for%20free%20from%20www.datapsyc.co=
m.%20Only%20minimal%20knowledge%20of%20statistics%20is%20assumed%2C%20makin=
g%20the%20book%20perfect%20for%20those%20seeking%20an%20easily%20accessible=
%20toolkit%20for%20statistical%20analysis%20with%20Python.%20Applied%20Univ=
ariate%2C%20Bivariate%2C%20and%20Multivariate%20Statistics%20Using%20Python=
%20represents%20the%20fastest%20way%20to%20learn%20how%20to%20analyze%20dat=
a%20with%20Python.Readers%20will%20also%20benefit%20from%20the%20inclusion%=
20of%3AA%20review%20of%20essential%20statistical%20principles%2C%20includin=
g%20types%20of%20data%2C%20measurement%2C%20significance%20tests%2C%20signi=
ficance%20levels%2C%20and%20type%20I%20and%20type%20II%20errorsAn%20introdu=
ction%20to%20Python%2C%20exploring%20how%20to%20communicate%20with%20Python=
A%20treatment%20of%20exploratory%20data%20analysis%2C%20basic%20statistics%=
20and%20visual%20displays%2C%20including%20frequencies%20and%20descriptives=
%2C%20q-q%20plots%2C%20box-and-whisker%20plots%2C%20and%20data%20management=
An%20introduction%20to%20topics%20such%20as%20ANOVA%2C%20MANOVA%20and%20dis=
criminant%20analysis%2C%20regression%2C%20principal%20components%20analysis=
%2C%20factor%20analysis%2C%20cluster%20analysis%2C%20among%20others%2C%20ex=
ploring%20the%20nature%20of%20what%20these%20techniques%20can%20vs.%20canno=
t%20do%20on%20a%20methodological%20levelPerfect%20for%20undergraduate%20and=
%20graduate%20students%20in%20the%20social%2C%20behavioral%2C%20and%20natur=
al%20sciences%2C%20Applied%20Univariate%2C%20Bivariate%2C%20and%20Multivari=
ate%20Statistics%20Using%20Python%20will%20also%20earn%20a%20place%20in%20t=
he%20libraries%20of%20researchers%20and%20data%20analysts%20seeking%20a%20q=
uick%20go-to%20resource%20for%20univariate%2C%20bivariate%2C%20and%20multiv=
ariate%20analysis%20in%20Python.&amp;rft.identifier=3Dhttps%3A%2F%2Fwww.wil=
ey.com%2Fen-us%2FApplied%2BUnivariate%252C%2BBivariate%252C%2Band%2BMultiva=
riate%2BStatistics%2BUsing%2BPython%253A%2BA%2BBeginner%2527s%2BGuide%2Bto%=
2BAdvanced%2BData%2BAnalysis-p-9781119578185&amp;rft.language=3Den-us"></sp=
an>
</div></div></div><br><div class=3D"gmail_quote"><div dir=3D"ltr" class=3D"=
gmail_attr">On Wed, Feb 15, 2023 at 5:56 PM Britta Smith &lt;<a href=3D"mai=
lto:[email protected]">[email protected]</a>&gt; wrote:<br></div><b=
lockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-le=
ft:1px solid rgb(204,204,204);padding-left:1ex"><div dir=3D"ltr"><div class=
=3D"gmail_default" style=3D"font-family:tahoma,sans-serif;font-size:small;c=
olor:rgb(61,133,198)">thank you sean</div></div><br><div class=3D"gmail_quo=
te"><div dir=3D"ltr" class=3D"gmail_attr">On Wed, Feb 15, 2023 at 11:38 AM =
Sean Berry &lt;<a href=3D"mailto:[email protected]" target=3D"_blank">spbe=
[email protected]</a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" st=
yle=3D"margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padd=
ing-left:1ex"><div dir=3D"auto">Hi Britta,=C2=A0<div dir=3D"auto"><br></div=
><div dir=3D"auto">Here is one that includes regression and machine learnin=
g that I&#39;ve found useful:</div><div dir=3D"auto"><br></div><div dir=3D"=
auto">Hands-On machine learning with scikit-learn, keras, &amp; tensor flow=
. Written by Aurelien Geron.</div><div dir=3D"auto"><br></div><div dir=3D"a=
uto">Sean</div></div><br><div class=3D"gmail_quote"><div dir=3D"ltr" class=
=3D"gmail_attr">On Wed, Feb 15, 2023, 9:46 AM Albert Steppi &lt;<a href=3D"=
mailto:[email protected]" target=3D"_blank">[email protected]</=
a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"margin:0p=
x 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><d=
iv dir=3D"ltr"><div>Hi Britta,<br></div><div><br></div><div>I haven&#39;t r=
ead anything Python specific, but I like the following books:</div><div><br=
></div><div>For basic introductory stats, <a href=3D"https://wwnorton.com/b=
ooks/Statistics/" rel=3D"noreferrer" target=3D"_blank">Freedman, Pisani, an=
d Purves</a></div><div><br></div><div>As a follow up, Freedman&#39;s <a hre=
f=3D"https://www.cambridge.org/core/books/statistical-models/68F8872C7788AF=
62BD6513F7071EE1BA#fndtn-information" rel=3D"noreferrer" target=3D"_blank">=
Statistical Models: Theory and Practice</a>, teaches one to think criticall=
y about regression modeling and its limitations.</div><div><br></div><div>E=
fron and Hasties <a href=3D"https://hastie.su.domains/CASI_files/PDF/casi.p=
df" rel=3D"noreferrer" target=3D"_blank">Computer Age Statistical Inference=
</a>, for a very broad overview of a wide range of computational statistics=
 topics.</div><div><br></div><div>Hastie, Tibshirani, and Friedman&#39;s <a=
 href=3D"https://hastie.su.domains/Papers/ESLII.pdf" rel=3D"noreferrer" tar=
get=3D"_blank">Elements of Statistical Learning</a>, classic introduction t=
o 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" rel=3D"nore=
ferrer" 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, s=
cikit-learn, scipy, statsmodels) 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:b=
[email protected]" rel=3D"noreferrer" target=3D"_blank">bretana1226@gmai=
l.com</a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"ma=
rgin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:=
1ex">Dear SciPy community,<div dir=3D"auto">What are your recommendations f=
or textbooks concerning statistics and data science? 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]" rel=3D"=
noreferrer" target=3D"_blank">[email protected]</a><br>
To unsubscribe send an email to <a href=3D"mailto:[email protected]=
rg" rel=3D"noreferrer" target=3D"_blank">[email protected]</a><br=
>
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el=3D"noreferrer noreferrer" target=3D"_blank">https://mail.python.org/mail=
man3/lists/scipy-user.python.org/</a><br>
Member address: <a href=3D"mailto:[email protected]" rel=3D"noreferre=
r" target=3D"_blank">[email protected]</a><br>
</blockquote></div>
_______________________________________________<br>
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noreferrer" target=3D"_blank">[email protected]</a><br>
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el=3D"noreferrer noreferrer" target=3D"_blank">https://mail.python.org/mail=
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</blockquote></div>
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=3D"_blank">[email protected]</a><br>
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scipy-user.python.org/</a><br>
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[email protected]</a><br>
</blockquote></div>
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=3D"_blank">[email protected]</a><br>
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</blockquote></div>

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