By Robert Johansson

Numerical Python via Robert Johansson exhibits you ways to leverage the numerical and mathematical modules in Python and its typical Library in addition to renowned open resource numerical Python applications like NumPy, FiPy, matplotlib and extra to numerically compute strategies and mathematically version purposes in a couple of components like significant info, cloud computing, monetary engineering, company administration and more.

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

Up until eventually very lately, Python used to be regularly considered as only a internet scripting language. good, computational scientists and engineers have lately stumbled on the flexibleness and tool of Python to do extra. giant info analytics and cloud computing programmers are seeing Python's mammoth use. monetary engineers also are now making use of Python of their paintings. Python seems evolving as a language which may even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.

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However, in the following sections we will look into the IPython notebook and the integrated development environment Spyder. These environments provide richer features that improve productivity when working with interactive and exploratory computing applications. 7 The notebook offers many advantages over a traditional development environment when working with data analysis and computational problem solving. In particular, the notebook environment allows one to write and to run code, to display the output produced by the code, and to document and interpret the code and the results – all in one document.

However, image resources that are included using Markdown or HTML tags are not included and must be distributed together with the resulting HTML file. 9 The path/filename is relative to the notebook directory. org. By feeding it a URL to a public notebook file, the nbviewer application automatically converts the notebook to HTML and displays the result. One of the many benefits of this method of publishing IPython notebooks is that the notebook author only needs to maintain one file – the notebook file itself – and when it is updated and uploaded to its online location, the static view of the notebook provided by nbviewer is automatically updated as well.

It also provides a menu-based mechanism for displaying autocompletion results, and it shows docstrings for functions in a pop-up window when typing the opening parenthesis of a function or a method call. A screenshot of the IPython Qtconsole is shown in Figure 1-3. Figure 1-3. A screenshot of the IPython Qtconsole application 13 Chapter 1 ■ Introduction to Computing with Python Interpreter and text editor as development environment In principle, the Python or the IPython interpreter and a good text editor is all that is required for a full productive Python development environment.

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