Best to get started for data scientists
May 01, 2021

Best to get started for data scientists

Arpit Ranka | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Jupyter Notebook

Jupyter Notebook was first used by me for a project for my Big Data Class to handle data in csv, excel, json, etc. I used python and a lot of flexible libraries in it to do data analysis on our banking information like documents, statements, reports etc. and draw visualizations on it.
  • Data Analytics
  • easy visualization
  • ML possibilities
  • slows down device sometimes
  • can't identify syntax errors
  • no collaboration
  • Data exploration
  • Machine learning integration
  • Data Analytics
  • open source and free to get a feel for it
  • helps in informed decision making
  • most incoming employees already familiar
haven't actually explored as I decided to use it on a friend 's recommendation.

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

It's user friendly and easy for beginners to get started on.

Jupyter Notebook Feature Ratings

Connect to Multiple Data Sources
8
Extend Existing Data Sources
9
Automatic Data Format Detection
8
MDM Integration
8
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
8
Built-in Processors
9
Multiple Model Development Languages and Tools
8
Automated Machine Learning
7
Single platform for multiple model development
9
Self-Service Model Delivery
9
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
9