Data Analysis Getting Started --IPython

First, what is IPython

  IPython developers to absorb the basic concept of the standard interpreter, a lot of improvements on this basis, to create an amazing tool. On its home page says so:. "This is an enhanced interactive Python shell" has tab completion, object introspection, strong history mechanism, built-in source code editor, integrated Python debugger,% run mechanism macro, create multiple environments and the ability to call the system shell. In short, IPython is a powerful performance of Python terminal, it is the best choice for data analysis!

  (Installed anoconda, a lot of data analysis package to install on)

  Unique magic command: https://book.douban.com/reading/53857245/

二、jupyter notebook

  Reference: https://blog.csdn.net/m0_37438418/article/details/80620190

  win10 installed anoconda, directly to jupyter notebook can start in all programs

  Of course, IPython can also use spyder

    spyder commonly used shortcut keys:

Ctrl + 1: Comment / trans Note 

ctrl + of 4/5: comment block / block-comment 

ctrl + L: line number to jump to 

the Tab / the Shift the Tab +: code indentation / trans retracted (after a letter code input prompt, You need to configure) 

Ctrl + the I: displays help 

F9 to perform a single line

 

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Origin www.cnblogs.com/jiangbei/p/11286196.html