This is continuation of series of blog post for learning python for Data science. In this blog post we will deep dive in some details of using notebook .Jupyter Notebook is web based interactive tool used mainly by machine learning and data science community for analysis , testing , reporting and gaining insights from data.
We will explore in details of using notebook on a Windows PC :
Data Analysis is mainly about storytelling of data , so to make it more readable we need to make it more interactive and decorative . So a proper heading is a must right :
Giving heading :
Change code to markdown :
Ctrl + Enter to Run the cell
Shift + Enter to Run current cell and new cell below
To get the list od shortcuts go to
Click it and choose Keyboard Shortcuts
To know the path where your package/library coming from :
To import package :
Import <alphabet> + tab
To know the version of python
Next comes very important thing of commenting :
Comment a single Line :# in front of the line
Commenting a block of code :
Select the block of code and ctrl + /
To uncomment the piece of block ctrl + /
To know more about a package/library :
This was a small intro to use jupyternotebook :
Will share a lot of tricks while using it for coding . Till then stay tuned . Share it !!