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

By Jesse M. Kinder, Philip Nelson

ISBN-10: 0691170509

ISBN-13: 9780691170503

Python is a working laptop or computer programming language that's quickly becoming more popular through the sciences. A Student's advisor to Python for actual Modeling goals that will help you, the scholar, educate your self adequate of the Python programming language to start with actual modeling. you are going to how you can 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 past programming adventure is assumed.

This educational specializes in basics and introduces a variety of helpful ideas, including:

  • Basic Python programming and scripting
  • Numerical arrays
  • Two- and three-d graphics
  • Monte Carlo simulations
  • Numerical tools, 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 consultant and contain code samples, info units, and more.

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

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14 Jump to Contents Jump to Index 34 Chapter 2 Structure and Control 4. Python adds -b to the array from 3 using the same rule as in 2. 5. Python divides the array from 4 by 2*a. This operation involves two arrays and will be discussed in a moment. It is also evaluated item by item. py is a vectorized form of the earlier for loop. Vectorized code often runs much faster than equivalent code written with explicit for loops, because clever programmers have optimized NumPy functions to run “behind the scenes” with compiled programs written in C and fortran, avoiding the usual overhead of Python’s interpreter.

5 Array operations 35 Sometimes, instead of item-by-item operations, you may want to combine arrays by the rules of matrix math. For example, the “dot product” of two vectors (or, more generally, matrix multiplication) requires a special function call. dot(a, b) The number of elements in a equals the number of elements in b, so the dot product is defined. In this case it is the single number a · b = a1 b1 + a2 b2 + a3 b3 . 2 Reducing an array In contrast to ordinary functions like sin, which act item by item when given an array, some functions combine elements of an array to produce a result that has fewer elements than the original array.

However, retyping the same lines of code at the command prompt over and over is tedious, and many tasks involve code that is far more complex than the examples above. Your code will go through many versions as you get it right, and it’s tiresome to keep retyping things and making new errors. You’ll want to work on it, take a break, return to it, close Spyder, move to a different computer, and so on. And you will wish to share code with other people in a “pure” form, free from all the typos, missteps, and output made along the way.

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