Download Numerical Python: A Practical Techniques Approach for by Robert Johansson PDF

By Robert Johansson

Numerical Python through Robert Johansson indicates you the way to leverage the numerical and mathematical modules in Python and its regular Library in addition to renowned open resource numerical Python programs like NumPy, FiPy, matplotlib and extra to numerically compute ideas and mathematically version purposes in a couple of parts like vast facts, cloud computing, monetary engineering, enterprise administration and more.

After studying and utilizing this publication, you'll get a few takeaway case examine examples of functions that may be present in components like enterprise administration, great data/cloud computing, monetary engineering (i.e., recommendations buying and selling funding alternatives), or even games.

Up till very lately, Python used to be generally considered as only a net scripting language. good, computational scientists and engineers have lately chanced on the pliability and tool of Python to do extra. giant info analytics and cloud computing programmers are seeing Python's significant use. monetary engineers also are now using Python of their paintings. Python looks evolving as a language which could even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.

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Each value in strides is the factor by which the index for the corresponding axis is multiplied when calculating the memory offset (in bytes) for a given index expression. 29 Chapter 2 ■ Vectors, Matrices, and Multidimensional Arrays For example, consider a C-order array A with shape (2, 3), which corresponds to a two-dimensional array with two and three elements along the first and the second dimension, respectively. If the data type is int32, then each element uses 4 bytes, and the total memory buffer for the array therefore uses 2 ´ 3 ´ 4 = 24 bytes.

When executing Python source code files from the editor, the namespace variables created in the script are retained in the IPython or Python session in the console. This is an important feature that makes Spyder an interactive computing environment, in addition to a traditional IDE application, since it allows exploring the values of variables after a script has finished executing. Spyder supports having multiple Python and IPython consoles opened simultaneously, and, for example, a new IPython console can be launched through the “Consoles – Open an IPython console” menu.

6 12 Chapter 1 ■ Introduction to Computing with Python The IPython Qt Console The IPython Qt console is an enhanced console application provided by IPython that can serve as a substitute to the standard IPython console. The Qt console is launched by passing the qtconsole argument to the ipython command: $ ipython qtconsole This opens up a new IPython application in an enhanced terminal, which is capable of displaying rich media objects such as images, figures, and mathematical equations directly in the terminal window.

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