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

By Jesse M. Kinder, Philip Nelson

Python is a working laptop or computer programming language that's speedily becoming more popular in the course of the sciences. A Student's consultant to Python for actual Modeling goals that will help you, the coed, educate your self sufficient of the Python programming language to start with actual modeling. you are going to tips on how to set up an open-source Python programming setting and use it to complete many universal medical computing initiatives: uploading, exporting, and visualizing info; numerical research; and simulation. No earlier programming adventure is assumed.

This educational makes a speciality of basics and introduces quite a lot of important 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 comprise code samples, information units, and more.

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

Example text

For example, you may wish to examine the first ten elements of an array or the 17th column of a matrix. These operations are possible using a technique called slicing. In Python, the colon indicates slicing when it is part of an index. The most general command for slicing a one-dimensional array is a[start:end:stride]. , a[start + M*stride] where M is the largest integer for which start + M*stride < end. In slicing, the stride comes last. If it is omitted, the default is 1. If start or end are omitted, their defaults correspond to the first and last entries, respectively.

Python can report how big an array is. size(a) and see what you get. shape(a). This information is also displayed in the Variable Explorer. A NumPy array is an object with its own attributes and methods. size). A NumPy array also has methods for acting on its data. std(). zeros((3,1)). Note, in particular, the shape of each. NumPy regards the first as neither a row nor a column vector. 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.

There is another important difference between variable assignment and array assignment. If you type A=1, Python does not raise an error, even if A was previously undefined. However, if you try A[0]=1 before defining A, Python returns an error message. The reason is that A[0]=1 is attempting to use a method of an object called A to modify its data. Since no such object exists, Python cannot proceed. zeros(100). 5). 7 Slicing Often you will wish to extract more than one element from an array. For example, you may wish to examine the first ten elements of an array or the 17th column of a matrix.

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