Jupyter Notebook: A boon to present codes
December 16, 2021

Jupyter Notebook: A boon to present codes

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

Overall Satisfaction with Jupyter Notebook

Jupyter Notebook is the most friendly software for testing and running python codes of all types. Its simple to illustrate and visualise and test a code line by line. Also if not downloaded you can still use it as a google collab notebook. Its easy and simple to use for data models, statistical visualisation and machine learning programs. I have been using it constantly in my research works.
  • Coding and error correction line by line
  • Simple and Effectiveness
  • Easy to use for visualisation and presentation of code
  • Could be used at any place any time without hassle
  • could have some standard python libraries imported already
  • compiled images and results should be alterable in size
  • compiler runtime
  • Scalability
  • Effectiveness
  • Availablity
  • Less Space consumption
  • Jupyter is free and always has more than 100 percent returns
  • Akways a positive impact
  • Highly efficient
Negligible or no cost, Highly efficient, effective, scalable , hasslefree

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?

No

Would you buy Jupyter Notebook again?

Yes

Google Analytics, Filmora, PyCharm, Cisco Packet Tracer (part of Cisco Networking Academy)
Best for presentation of codes and results. However needs some standard libaries such as numpy, pandas, etc to be already imported.

Jupyter Notebook Feature Ratings

Connect to Multiple Data Sources
9
Extend Existing Data Sources
9
Automatic Data Format Detection
7
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Data Encryption
8
Built-in Processors
10
Multiple Model Development Languages and Tools
8
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
5
Flexible Model Publishing Options
8
Security, Governance, and Cost Controls
7