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> |
--===============3071861242451127585== Content-Type: multipart/alternative; boundary="00000000000082847e05f4c09c28" --00000000000082847e05f4c09c28 Content-Type: text/plain; charset="UTF-8" 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] > --00000000000082847e05f4c09c28 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <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'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 <= <a href=3D"mailto:[email protected]">[email protected]</a>> = 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'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'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'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'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'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 <<a href=3D"mailto:[email protected]" targ= et=3D"_blank">[email protected]</a>> 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> <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> --00000000000082847e05f4c09c28-- --===============3071861242451127585== 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] --===============3071861242451127585==--