Öur future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem"--
%0 Book
%1 landau2018computational
%A Landau, Rubin H.
%A Páez Mejía, Manuel José
%D 2018
%K problem_book
%T Computational problems for physics : a supplementary textbook with examples in Python
%U https://www.amazon.com/Computational-Problems-Physics-Guided-Solutions/dp/1138705411/ref=sr_1_1?ie=UTF8&qid=1535025301&sr=8-1&keywords=Computational+Problems+for+Physics+%3A+With+Guided+Solutions+Using+Python&dpID=41Aqyio1keL&preST=_SY291_BO1,204,203,200_QL40_&dpSrc=srch
%X Öur future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem"--
%@ 9781138705418 1138705411 9781138705913 1138705918
@book{landau2018computational,
abstract = {"Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem"--},
added-at = {2018-10-14T11:17:22.000+0200},
author = {Landau, Rubin H. and Páez Mejía, Manuel José},
biburl = {https://www.bibsonomy.org/bibtex/2bd5c1e066b5cd345e16ca70992a26104/supremefacist},
interhash = {b66065c45c9c1a7753b18755622864ef},
intrahash = {bd5c1e066b5cd345e16ca70992a26104},
isbn = {9781138705418 1138705411 9781138705913 1138705918},
keywords = {problem_book},
refid = {1053605873},
timestamp = {2018-10-14T11:17:22.000+0200},
title = {Computational problems for physics : a supplementary textbook with examples in Python},
url = {https://www.amazon.com/Computational-Problems-Physics-Guided-Solutions/dp/1138705411/ref=sr_1_1?ie=UTF8&qid=1535025301&sr=8-1&keywords=Computational+Problems+for+Physics+%3A+With+Guided+Solutions+Using+Python&dpID=41Aqyio1keL&preST=_SY291_BO1,204,203,200_QL40_&dpSrc=srch},
year = 2018
}