Computational problems for physics: with guided solutions using python
Landau, Rubin H.,
Computational problems for physics: with guided solutions using python Rubin H. Landau, Manuel José Páez. - 407 p. - Series in computational physics . - Series in computational physics. .
Computational basics for physics -- Data analytics for physics -- Classical and nonlinear dynamics -- Wave equations and fluid dynamics -- Electricity and magnetism -- Quantum mechanics -- Thermodynamics and statistical physics -- Biological models: population dynamics and plant growth -- Additional entry-level problems.
"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"--
2020691665
Physics--Problems, exercises, etc.
Physics--Data processing.
Physics--Computer simulation.
Python (Computer program language)
Mathematical physics.
QC20.82 / .L36 2020
530.15
Computational problems for physics: with guided solutions using python Rubin H. Landau, Manuel José Páez. - 407 p. - Series in computational physics . - Series in computational physics. .
Computational basics for physics -- Data analytics for physics -- Classical and nonlinear dynamics -- Wave equations and fluid dynamics -- Electricity and magnetism -- Quantum mechanics -- Thermodynamics and statistical physics -- Biological models: population dynamics and plant growth -- Additional entry-level problems.
"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"--
2020691665
Physics--Problems, exercises, etc.
Physics--Data processing.
Physics--Computer simulation.
Python (Computer program language)
Mathematical physics.
QC20.82 / .L36 2020
530.15