Jupyter Notebooks allow data scientists to create and share their documents, from codes to full blown reports. They help data scientists streamline their work and enable more productivity and easy collaboration. Jupyter Notebooks are powerful, versatile, shareable and provide the ability to perform data visualization in the same environment. If there is one tool which every data scientist should use or must be comfortable with, it is Jupyter Notebooks (previously known as iPython notebooks). As you would expect, there is no dearth of options available – from language specific IDEs like R Studio, P圜harm to editors like Sublime Text or Atom – the choice can be intimidating for a beginner. One of the most common question people ask is which IDE / environment / tool to use, while working on your data science projects.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
December 2022
Categories |