[Python] Python path, macports, easy-install, numpy, scipy, ipython, matplotlib, integration tool

Two Integration kits, including packages for scientific computing

1. Python (X, Y) is used for scientific computing and even includes eclipse and QT.
Address

Http://code.google.com/p/pythonxy/

Including the following Python Components

Python/XY/xydoc/pyqt/examples/pyqwt/pyqwt3d/pygtk/wxpython/numpy/scipy/numexpr/matplotlib/PIL/ipython/pyreadline/setuptools/ets/VTK/Itk/ pydicom/vpython/pyopengl/opencv/sympy/cvxopt/networkx/MDP/pytables/h5py/reportlab/pyexcelerator/gdal/PP/pywin32/pyvisa/pyparallel/pyserial/cython/Pyrex/ py2exe/sphments/docutils/Jinja/docutils/pygments/docutils/epydoc/nose/pylint/winpdb

2. EPD (enthought Python distribution) is not integrated with the development environment, but common packages are available. Although not the free version, you can select academic options when downloading and the free version.
Address

Http://enthought.com/products/epd.php

Component list

Altgraph/argparse/basemap/cherrypy/cmake/configobj/coverage/cython/logs/enstaller/logs/epydoc/etpcore/etplib/ets/foolscap/fpconst/FreeType/Gadfly/graphviz/ grin/hdf4/hdf5/ipython/Jinja/lapack_lite/libpng/libxml2/libxslt/lxml/matplotlib/mingw/modulegraph/modules/mpich2/MySQL-Python/netcdf/networkx/nose/ numarray/numpy/OpenSSL/PIL/Ply/portaudio/pyaudio/pycdf/tests/pydot/tests/pyglet/pygments/pyhdf/pyopengl/pyopenssl/pyparsing/pyproj/Pyrex/pyserial/ pysvn/pytables/python_dateutil/pytz/pyvisa/pywin32/pyxml/reportlab/scientificpython/scikits. rsformats/scipy/scite/scons/simplejson/soaplib/soappy/sphinx/logs/swig/sympy/testoob/twisted/VTK/logs/wxpython/zconfig/logs/zlib/zodb3/ zope. interface/Zope. proxy/Zope. testing

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IDE:

1. Wing ide

2. Eclipse

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A. View Python path:

Import sys

SYS. path or: For line in SYS. Path: print line

 

Install Python and extension packages on Mac

Several tools

1. macports: A Tool for installing management software on Mac, similar to Apt-Get and Yum on Linux

Sudo port install ***

Port search *** is very useful

2. Easy-install: Python extension package management tool, which can easily install required packages

Http://www.yancong.su/2012/08/208

Using macports to add python, numpy, scipy, and pylab is easy to install.

1. Use macports

Sudo port install py27-numpy

Sudo port install py27-scipy

Sudo port install py27-matplotlib

Numpy is installed in/system/library/frameworks/python. Framework/versions/2.7/extras/lib/Python/numpy

Test pylab:

Python
Import pylab
Pylab. Plot ([1, 2, 3, 4])
Pylab. Show ()

Or test as follows:

>>> Import numpy as NP >>> NP. test ('full') >>> import scipy >>>> scipy. test () // After I installed it, test () found some failed, some errors... In the output of the test () language, you can see the location of the numpy and scipy installation packages. The installation of ipython is also like this (it seems that it is not installed properly .. Fuck) Port search ipythonsudo port install py27-ipython 2, use easy-install, it seems better, can automatically add the dependency