Download e-book for iPad: A Student's Guide to Python for Physical Modeling by Jesse M. Kinder, Philip Nelson

By Jesse M. Kinder, Philip Nelson

ISBN-10: 0691170509

ISBN-13: 9780691170503

Python is a working laptop or computer programming language that's swiftly rising in popularity in the course of the sciences. A Student's consultant to Python for actual Modeling goals that can assist you, the scholar, educate your self sufficient of the Python programming language to start with actual modeling. you'll tips on how to set up an open-source Python programming atmosphere and use it to complete many universal medical computing initiatives: uploading, exporting, and visualizing facts; numerical research; and simulation. No previous programming adventure is assumed.

This instructional specializes in basics and introduces quite a lot of invaluable thoughts, including:

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

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

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

Example text

This forces you to organize the text of your programs exactly as you intend the computer to execute it. You can tell at a glance which commands are inside a loop and where a block of code ends, and your code is not cluttered with dangling curly brackets or a pyramid of end statements at the end of a complex loop. How much should you indent? The only requirements in Python are the following: (i ) Indentation consists of blank spaces or tabs. (ii ) Indentation must be consistent within a block. ) (iii ) The indentation level must increase when starting a new block, and go back to the previous level when that block ends.

It is a one-dimensional array—an array with only one index. In some cases, NumPy will treat all three types of arrays the same. However, in certain matrix and vector operations, the shape of the array is important. Be certain you have arrays of the shape you need when performing these operations. You can reshape a one-dimensional array into a column vector or row vector if necessary. random((2,3)). ” The variable A defined earlier is a three-dimensional array; it could represent grid points filling a volume of space, each holding a single quantity (a scalar ).

As long as the product of these numbers is equal to the number of elements in the original array, the command will return a new array. Like ravel, these reshape methods return an array object with access to the same data as a, but with a different shape. Modifying the elements of any of the arrays in this example will affect all four of them. 10 T2 Lists and arrays as indices Python has an even more flexible method for slicing an array: You can use a list where an index is expected. Using a list of integers will return an array that contains just the elements of the original array at the offsets specified by the list.

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

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