What software is involved in the Python study notes?

In the face of more and more python environment versions, do you have a certain understanding of the development of the python Environment version? Do you know about version 3.x? The following articles mainly introduce the advantages of Python learning notes and the actual operation steps.

In python learning notes, a good thing about python is that different things can coexist. Therefore, version 2.6.4 has not been deleted and 2.5.2 has been directly installed. If you want to call Python from a Windows command line, you need to set the PATH variable correctly. For Windows 2000, XP, and 2003, choose Control Panel> system> advanced> environment variable. In the "System variables" form, click the variable named PATH, edit the variable, and add; C: \ Python25 to its end. Of course, it is the correct directory name of Python.

The default python shell is not easy to use. According to the pioneer's suggestion, I installed ipython. Supports syntax highlighting, Automatic completion, code debugging, and other very good functions. I downloaded the latest version 0.10 and went to the directory selection.

 
 

  
  
ipython-0.10.win32-setup.exe 
 
 

At the same time, we also need to download a color display function that supports the shell environment. Go back to the previous page and select

 
 

  
  
pyreadline-1.5-win32-setup.exe 
 
 

After downloading the SDK, we first install ipython. Because I installed two versions of python learning notes earlier, we need to select a version during the installation process. I chose version 2.5. Install pyreadline and select version 2.5 during installation. Next, add; c: \ python25 \ scripts to the end of the Environment Variable PATH. Then, enter ipython in the command line to enter the ipython interactive environment.

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If it is too troublesome, you can choose the one-stop solution Python (x, y). The following part is from the search. Because there are too many reposts, the original article is no longer available: this is a bit large (close to 400 mb ), however, it comes with many frequently-used scientific computing libraries and the famous PyQt. Some people may think that scientific computing databases are not very useful.

However, a dry Library such as nump and scipy is depended on by many other libraries, and there are also many libraries related to documents, such as sphworkflow, which will also be a headache. At the same time, PyQt is also famous for new users and is difficult to correctly Configure. python (x, y) can be used directly after it is installed, and it feels great. It also comes with IDE and some useful tools. This also includes the previously installed ipython.