New PDF release: Learning IPython for Interactive Computing and Data

By Cyrille Rossant

You already use Python as a scripting language, yet do you know it's also more and more used for medical computing and information research? Interactive programming is vital in such exploratory initiatives and IPython is the proper software for that. as soon as you’ve learnt it, you won’t be capable of stay with out it.

"Learning IPython for Interactive Computing and information Visualization" is a realistic, hands-on, example-driven educational to significantly enhance your productiveness in the course of interactive Python periods, and indicates you the way to successfully use IPython for interactive computing and knowledge analysis.

This booklet covers all facets of IPython, from the hugely strong interactive Python console to the numerical and visualization positive factors which are quite often linked to IPython.

You will learn the way IPython permits you to practice effective vectorized computations, via examples masking numerical simulations with NumPy, facts research with Pandas, and visualization with Matplotlib. additionally, you will detect how IPython should be very easily used to optimize your code utilizing parallel computing and dynamic compilation in C with Cython.

"Learning IPython for Interactive Computing and information Visualization" will let you optimize your productiveness in interactive Python sessions.

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20 ] Interactive Work with IPython In this chapter, we will detail the various improvements that IPython brings to the standard Python console. In particular, we will perform the following tasks: • Access the system shell from IPython for powerful interactions between the shell and Python • Use dynamic introspection to explore Python objects or even a new Python package without even the need to look at the documentation • Easily debug and benchmark your code from IPython • Learn how to use the IPython notebook to improve considerably the way you interact with Python The extended shell IPython is not only an extended Python console, but it also provides several ways to interact with the operating system during a Python interactive session without quitting the console.

You can create different profiles with different names using ipython profile create profilename, and then launch IPython with ipython --profile=profilename to use that profile. The ~ directory is your home directory, for example, something like /home/ yourname on Unix, or C:\Users\yourname or C:\Documents and Settings\ yourname on Windows. [ 19 ] Getting Started with IPython Summary In this chapter, we have detailed the various ways with which you can install IPython and the recommended external Python packages.

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