Data science made easier through Jupyter
October 07, 2021

Data science made easier through Jupyter

Aditya Kumar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Jupyter Notebook

Python is the new technology that is being deployed across organisation for data science. For every language, one must use a user friendly IDE that makes the code more streamlined, easy to understand and with added built in functionalities. Jupyter Notebook takes care of all these and adds a lot of value to the data science projects.
  • Code presentation- with Jupyter Notebook you can deploy codes and markdowns which makes the code easy to read and understand.
  • User interface- the user interface of the Jupyter Notebook is very smooth, there are a lot of easy shortcuts as well the icons to make our work easier
  • Server hosting- with Jupyter Notebook server hosting is very easy which adds to the security feature
  • no code style correction- it doesn't have any functionality to auto correct the code style such as spaces.
  • sometimes while executing the script the system gets frozen.
  • no third party app integration
  • economical- it's an open source with no cost.
  • familiarity- almost everyone from the data science field, so organisation don't have to worry about additional training
  • code visualisation- with markdowns and code combination it's suitable to present the code directly.
  • easy user interface
  • cost friendly
  • data analysis- it's very apt to deploy data analysis and visualisation.
Jupyter Notebook has a very clean UI, although PyCharm has some advanced features like auto style correction but it's way too complicated for a beginner to navigate. In terms of presentation and visualisation also Jupyter Notebook is way ahead of its competitors. In total if you are a beginner or intermediate user to the data science field Jupyter is the one to go.

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

Jupyter Notebook is the best IDE to use if you are feeling started with the data science. You will notice a lot of tutors use Jupyter Notebook to present their code, the markdown make the code more presentable and can be exported to present. But in case you have to do heavy tasking then it's not advisable to use Jupyter Notebook.

Jupyter Notebook Feature Ratings

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