A Student's Guide to Python for Physical Modeling - download pdf or read online

By Jesse M. Kinder, Philip Nelson

ISBN-10: 0691170509

ISBN-13: 9780691170503

Python is a working laptop or computer programming language that's speedily rising in popularity during the sciences. A Student's consultant to Python for actual Modeling goals that can assist you, the coed, educate your self adequate of the Python programming language to start with actual modeling. you'll how you can set up an open-source Python programming setting and use it to complete many universal medical computing projects: uploading, exporting, and visualizing information; numerical research; and simulation. No earlier programming event is assumed.

This instructional makes a speciality of basics and introduces quite a lot of worthwhile innovations, including:

  • Basic Python programming and scripting
  • Numerical arrays
  • Two- and three-d graphics
  • Monte Carlo simulations
  • Numerical equipment, together with fixing traditional differential equations
  • Image processing
  • Animation

Numerous code samples and exercises--with solutions--illustrate new principles as they're brought. Web-based assets additionally accompany this advisor and comprise code samples, facts units, and more.

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Additional resources for A Student's Guide to Python for Physical Modeling

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Python won’t understand that. " If you need both an apostrophe and double quotes, you will have to use a backslash ( \ ) before the symbol that encloses the string. 1. Another use of backslash is to code special characters, such as newline (\n) and tab (\t). 2. Jump to Contents Jump to Index 28 Chapter 2 Structure and Control A string may contain a collection of digits that looks like a number, for example, s='123'. However, Python still considers such a value to be a string, not the number 123.

It is one reason why NumPy arrays are more useful for numerical work. Execute the following commands to see why we do not use Python’s list data structure: 5 x 2 x x x = * + * - [1, 2, 3, 4, 5, 6] x 2 x x Python’s list objects are useful in many computing applications, but fast mathematical calculation on large collections of numbers is not one of them. We can now finish explaining the example at the start of this section. sqrt(b**2 - 4*a*c) and 2*a are arrays, too. When two NumPy arrays of the same shape and size are joined by +, -, *, /, or **, Python performs the operation on each pair of corresponding elements, and returns the results in a new array of the same length.

Python interprets this as a request to multiply each element by 4. This is the standard interpretation in math: When you multiply a vector by a scalar, each component is multiplied by that quantity. Similarly, Python then multiplies the resulting array by c. 2. After evaluating 4*a*c, Python sees that you’ve asked it to combine this result with the single quantity b**2. Unlike standard math usage (where it does not make sense to add a vector and a scalar together), Python interprets this as a request to create a new array, in which the entry indexed by k is equal to b**2 - 4*a[k]*c.

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A Student's Guide to Python for Physical Modeling by Jesse M. Kinder, Philip Nelson

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