Item: Jupyter Notebook
Rating: 10
Author: Shailesh Pandey

Use Cases and Deployment Scope

I do all my python projects with it every day and the amount of convenience it provides is unmatchable. It's interface is very easy and self expressive which is why I recommend it the most. It comes with the code sharing feature which i use when I get stuck somewhere or having some bug or needed any advice from the team lead.

Pros and Cons

Great interface.
Segments for codes.
Markdown for code explanation.

Sometimes I have to restart it when I import any new python library.
Should be available for more languages.

Most Important Features

Code sharing feature.
Markdown.
Code segments.

Return on Investment

Open source.
Makes coding easier.

Key Insights

Do you think Jupyter Notebook delivers good value for the price?

Yes

Are you happy with Jupyter Notebook's feature set?

Yes

Did Jupyter Notebook live up to sales and marketing promises?

Yes

Did implementation of Jupyter Notebook go as expected?

Yes

Would you buy Jupyter Notebook again?

Yes

Likelihood to Recommend

Many data science tutors use Jupyter Notebook to teach their students. It's an open source software with markdown to explain codes and code segments to make it more clean, error free and self explanatory. It is best IDE for the data science and python programming beginners because of it's interface and code segments where one can run their codes separately.

Feedback - Jupyter Notebook

Overall Satisfaction with Jupyter Notebook