Re: Textbook Recommendations
Britta Smith <[email protected]> Wed, 15 Feb 2023 10:57:12 -0700
| Newsgroups | gmane.comp.python.scientific.user |
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| Message-ID | <CAGQ-W9g64nsPMHFaW3Y1uNn7mXQHLFJoB8bg6zecABmN0KUG9A@mail.gmail.com> |
--===============1169419565934404481== Content-Type: multipart/alternative; boundary="00000000000084acaa05f4c0d1a9" --00000000000084acaa05f4c0d1a9 Content-Type: text/plain; charset="UTF-8" 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] > --00000000000084acaa05f4c0d1a9 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <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 <= <a href=3D"mailto:[email protected]">[email protected]</a>> 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'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 <<a hre= f=3D"mailto:[email protected]" target=3D"_blank">albert.steppi@gmail.= com</a>> 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= 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'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'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 <<a href=3D"mailto:bretana1226@gma= il.com" target=3D"_blank">[email protected]</a>> 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> <a href=3D"https://mail.python.org/mailman3/lists/scipy-user.python.org/" r= 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> <a href=3D"https://mail.python.org/mailman3/lists/scipy-user.python.org/" r= 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> _______________________________________________<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> <a href=3D"https://mail.python.org/mailman3/lists/scipy-user.python.org/" r= 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> --00000000000084acaa05f4c0d1a9-- --===============1169419565934404481== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ 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] --===============1169419565934404481==--