Easy to maintain modularity and write clean and efficient code
May 29, 2021

Easy to maintain modularity and write clean and efficient code

Hemant Jajoo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Jupyter Notebook

It is used mostly by our Python and R programmers for programming. It is very interactive and easy to manage the programs and present them. Coding in it is very easy and we can also easily debug. We can do many things--change the cell types, use shortcuts, and if stuck somewhere restart the kernel.
  • Interactive
  • Efficient
  • Quick
  • More languages support
  • Enhanced GPU support
  • Multi-environment support
  • Simplicity
  • Clean and aesthetic
  • Efficiency
  • Increased efficiency
  • Increased throughput of development team
  • Better product development
It should have cleaner support for multi-environment setup and should also increase the amount of features. Moreover, more support should be present for other programming languages. It should also have the option to set a specific location that opens up whenever I run command despite the need of me going to that location.

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

If you want to develop a project in Python or R then Jupyter Notebook is the perfect idle that you should use. It is easy to maintain modularity and write clean and efficient code. We can also use it for connecting to various databases like MongoDB from our Python script.

Jupyter Notebook Feature Ratings

Connect to Multiple Data Sources
10
Extend Existing Data Sources
5
Automatic Data Format Detection
Not Rated
MDM Integration
8
Visualization
8
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
9
Data Transformations
7
Built-in Processors
Not Rated
Multiple Model Development Languages and Tools
7
Automated Machine Learning
Not Rated
Single platform for multiple model development
7
Self-Service Model Delivery
8
Flexible Model Publishing Options
6
Security, Governance, and Cost Controls
8