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

By Jesse M. Kinder, Philip Nelson

Python is a working laptop or computer programming language that's swiftly rising in popularity during the sciences. A Student's advisor to Python for actual Modeling goals that can assist you, the scholar, train your self adequate of the Python programming language to start with actual modeling. you are going to easy methods to set up an open-source Python programming atmosphere and use it to complete many universal medical computing projects: uploading, exporting, and visualizing information; numerical research; and simulation. No previous programming adventure is assumed.

This instructional specializes in basics and introduces a variety of precious thoughts, including:

  • Basic Python programming and scripting
  • Numerical arrays
  • Two- and 3-dimensional graphics
  • Monte Carlo simulations
  • Numerical tools, together with fixing usual 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 consultant and comprise code samples, information units, and more.

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

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Arange. arange(x_min, x_max + dx, dx) Python also has a built-in function called range, but it does not create a numerical array of values. 4. 4 Concatenation of arrays NumPy offers two useful methods for building up an array from smaller ones. hstack (horizontal stack): The resulting array has the same number of rows as the original arrays. The arrays to be stacked must have the same number of rows. vstack (vertical stack): The resulting array has the same number of columns as the original arrays.

Arange(x_min, x_max + dx, dx) Python also has a built-in function called range, but it does not create a numerical array of values. 4. 4 Concatenation of arrays NumPy offers two useful methods for building up an array from smaller ones. hstack (horizontal stack): The resulting array has the same number of rows as the original arrays. The arrays to be stacked must have the same number of rows. vstack (vertical stack): The resulting array has the same number of columns as the original arrays. The arrays to be stacked must have the same number of columns.

This technique is called logical indexing. arange(-10, 11) less_than_five = (abs(a) < 5) b = a[less_than_five] The comparison in the second line returns an array with the same shape as a whose entries are True or False, depending on whether the particular element in a satisfies the comparison. 9 When less_than_five is used as an index to a, Python returns an array containing only those elements of a for which the corresponding element in less_than_five is True. It is not necessary to create a named array to use as an index.

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