Mastering IPython 4.0

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1. Author: Thomas Bitterman
   
2. ISBN-10:1785888412
   
3. Year:2016
   
4. Pages:382
   
5. Language:English
   
6. File size:5.1 MB
   
7. File format:PDF
   
8. Category:Software

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关键词：Mastering ipython python Master Aster

1. What is IPython?
   
2. IPython is an open source platform for interactive and parallel computing. It started
   
3. with the realization that the standard Python interpreter was too limited for sustained
   
4. interactive use, especially in the areas of scientific and parallel computing

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1. Installing IPython
   
2. The first step for installing IPython is to install Python. Instructions for the various
   
3. platforms differ but the instructions for each of them can be found on the Python
   
4. home page at http://www.python.org. IPython requires Python 2.7 or ≥ 3.3. This
   
5. book will use 3.5. Both Python and IPython are open source software, so downloads
   
6. and installations are free.
   
7. A standard Python installation includes the pip package manager. pip is a handy
   
8. command-line tool that can be used to download and install various Python libraries.
   
9. pip will be used throughout this book when libraries are required. Once Python is
   
10. installed, IPython can be installed with the following command:
    
11. pip install ipython
    
12. IPython comes with a test suite called iptest. To run it, simply issue the
    
13. following command:
    
14. iptest
    
15. A series of tests will be run. It is possible (and likely on Windows) that some libraries
    
16. will be missing, causing the associated tests to fail. Simply use pip to install those
    
17. libraries and rerun the test until everything passes.

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1. What happened to the Notebook?
   
2. Readers familiar with previous versions of IPython might notice that nothing has
   
3. been said about the Notebook. That is because the Notebook has split off from the
   
4. main IPython project. It is now a project on its own, named Jupyter, which can be
   
5. found at https://jupyter.org/. As the IPython project grew, it was determined
   
6. that it was trying to be too many things to too many people: a terminal, a Python
   
7. kernel, a notebook, a parallel framework, and much more. The decision was made to
   
8. split the project into two main parts, Jupyter and IPython, with IPython calving off
   
9. into several subprojects.

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