The Jupyter Notebook Reviews & Product Details

Jupiter notebook is a very user-friendly software that we can use for python coding. It's simple to use and we can test a code line by line. we can interact with this software in a data science environment. Review collected by and hosted on G2.com.

Sometimes have imported some libraries to do our analysis and it's quite difficult. This software will be better if it already has some standard libraries. and sometimes I had to restart all the code after importing a new library. Review collected by and hosted on G2.com.

Open source and Easy debugging of codes

Availability of documents for most of the inbuilt functions

Supports all the libraries and environment Review collected by and hosted on G2.com.

Only available for python, not for other languages

Need to install conda/ jupyter separately and needs internet connection sometimes to run on Review collected by and hosted on G2.com.

This is best software comparitive to other software, basic purpose to use for to support interactive data science and scientific computating across all programming languages. Review collected by and hosted on G2.com.

I used for data science and machine learning programming it's so easy software to understand and handle or run it., so nothing say like it has some cons as per my perspective upto till I am using Review collected by and hosted on G2.com.

One of the best software for Data Science and Data Analytics tasks. It is convenient to use and user-friendly. Have interactive fonts, which make codes easy to visualize. Outputs are clear and understanding. The best part is notebook can be downloaded in any format like pdf. We can share notebooks with teammates. Interactive plots are also supported. We can write documentations/explanations also for each code. Review collected by and hosted on G2.com.

Its good, not much disadvantage. Recommended. Maybe it could add new features to add mathematical formulas, equations easily in writing documentation/tutorials/explanations. Review collected by and hosted on G2.com.

Each and every step gets results if you want. User-friendly for novice users. Review collected by and hosted on G2.com.

Not very suitable in real-time environments. Does not support other languages like Java. Review collected by and hosted on G2.com.

Code execution using the cell-based approach, visibility to code, and results simultaneously along with documentation—very user-friendly UI. Easy to debug the code. Support for multiple languages. Excellent data visualization option. It's an excellent IDE for showcasing Data Science work. Very easy to share code with anyone. Review collected by and hosted on G2.com.

Maintaining versions of code is tedious. The security of code is a big issue. The notebook doesn't allow proper packaging. Somebody can look into the memory error in the Jupyter notebook. Review collected by and hosted on G2.com.

The Jupyter Notebook is the best webapp for python coding which includes data visualization, data cleansing, data transformation, it has all the awesome features that is supported by python . we can create code and run it which shows us different visualization.It also works as the best coding editor as it has all features.Another important feature is that it is open source which means any one if free to contribute in it. Review collected by and hosted on G2.com.

The Jupyter Notebook is a trendy tool used by data scientists and anyone who is coding in python. It has all the emerging features. The features of colorful themes should be added in The Jupyter Notebook which makes the coding interesting. Review collected by and hosted on G2.com.

When it comes to performance, the jupyter notebook is fantastic, and it's especially beneficial for managing several Python files. Jupyter is fantastic for data research and data analysis, jupyter is a better IDE compared to pycharm or anaconda Review collected by and hosted on G2.com.

sometimes while doing high computation users might face runtime errors or get stuck, so reloading is needed. another improvement can be providing dark/night mode. Review collected by and hosted on G2.com.

Ease of use, suggestion while writing codes, notebooks and already installed library and its GUI Review collected by and hosted on G2.com.

Little slow than other environments. Takes time when big amount of data Review collected by and hosted on G2.com.

There is a cell system in jupyter notebook in which I can run each segment of code or like a little function in separate parts so it's the best part of jupyter Notebook. Review collected by and hosted on G2.com.

There is no IDE integration in Jupyter Notebook and also there is hard to run test in Jupyter Notebook. Review collected by and hosted on G2.com.