This part of study follows the book Python Data Science Handbook: Essential Tools for Working with Data.
The details of this page can be found in the jupyter notebook, including examples and code excutions.
Here are some tricks that I feel useful:
? - Can be used to access documentations. eg. len?, str.insert?,
?? - Can be used to access source code. Note: It won't display the source code sometimes because many functions are not written in python. They are written in C, or else. In this case, ?? only functions as ?.
* ? - They can together be used for wildcard matching beyond tab completions. eg. *Warning?, str.*find*?
%lsmagic - Shows available line magics.
%run - Run external code.
%timeit - Loop through the command and gives mean and standard deviation of the time spent.
%time - Time without looping.
eg. !ls, !pwd, etc
%xmode Plain, %xmode Verbose, etc. can be used to change how much info to show for the exception handlers.
%pdb on can be used to automatically start pdb when there is any error raised.