Numerical Python in Astronomy and Astrophysics: A Practical Guide to Astrophysical Problem Solving
Description
Numerical Python in Astronomy and Astrophysics: A Practical Guide to Astrophysical Problem Solving By Schmidt, Wolfram Published by Springer Publication Date: 2021-07-15 Subject: Computers Languages Python, Computers Programming Algorithms, Computers Languages - Python, Computers Programming - Algorithms, Science Physics Mathematical & Computational, Science Space Science Astronomy, Science Physics - Mathematical & Computational, Science Space Science - Astronomy, Astronomy, Space & Time, Mathematical Physics, Mathematical Theory Of Computation, Programming & Scripting Languages: General, Astronomy, Space And Time, Numerical Analysis, Programming And Scripting Languages: General, Mathematical Physics, Astronomy, Space & Time, Programming & Scripting Languages: General, Mathematical Theory Of Computation, Science Physics Mathematical & Computational, Science, Physics, Mathematical & Computational, Science Space Science Astronomy, Space Science, Astronomy, Computers Languages Python, Computers, Languages, Python, Computers Programming Algorithms, Programming, Algorithms, Astronomy, Space And Time, Programming And Scripting Languages: General, Numerical Analysis, Anf: Science Subject Keywords: Undergraduate Astrophysics Textbook; Astrophysical Problem Solving; Programming Language; Numerical Problems in Astrophysics; Programming Algorithms; Functions in Python; Python Libraries; Phyton for Astrophysics; Astronomical Data Analysis; Artificial Neural Networks; Astronomical Image Analysis Genre: Mathematical Physics, Astronomy, Space & Time, Programming & Scripting Languages: General, Mathematical Theory Of Computation, Science, Physics, Mathematical & Computational, Science, Space Science, Astronomy, Computers, Languages, Python, Computers, Programming, Algorithms, Mathematical Physics, Astronomy, Space And Time, Programming And Scripting Languages: General, Numerical Analysis Target Audience: Professional and scholarly
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