Installing python2.7 and Scientific computing packages under Windows

installation Environment and instructions

Operating system: 64-bit Win7
All of the following packages have been packaged by me to the network, please move to
http://www.colafile.com/file/4591550 for download
Because installing 64-bit python2.7 under 64-bit Win7 can cause a lot of problems with egg aches, this tutorial installs all 32-bit python2.7 and their corresponding kits

python2.7 Installation

Installation package Name:

Python-2.7.9.msi
1. Double-click the installation package above to pay attention to an option,

This option adds Python to the default path, so you can invoke the Python command directly in the CMD State, which is recommended.

2. Follow the next steps. After the installation is complete, enter cmd and enter Python as shown in the environment that indicates the installation was successful.

NumPy Installation

Installation package Name:

Numpy-1.6.2-win32-superpack-python2.7.exe
Installation is simple all the way next, after installation to CMD inside import, the interface is installed successfully

Six installation

Installation file name:

six.py
Move this file directly to the Lib\site-packages directory under the Python installation directory

Dateutil Installation

Installation file name:

Python-dateutil-2.2.win32-py2.7.exe
Next

Pyparsing Installation

Installation file name:

Pyparsing-2.0.2.win32-py2.7.exe
Next

Matplotlib Installation

Installation file name:

Matplotlib-1.4.0.win32-py2.7.exe
Next

After installation, enter the following Python code and run

Copy the Code code as follows:

Import Matplotlib.pyplot as Plt
Plt.plot ([0, 1, 2])
Plt.ylabel (' Hello World ')
Plt.show ()

The appearance of this image indicates that your installation has been successful so far.

SCIPY Installation

Installation file name:

Scipy-0.11.0.win32-py2.7.exe
Next

Installation is simple all the way next, after installation to CMD inside import, the interface is installed successfully

The above is the whole content of this article, I hope you can enjoy.

