The Jupyter Notebook Reviews & Product Details

It has the most easy and understanable UI. A beginner would find easy to use all the tools, how to make paths for the files and to make projects. Also the code runs in cells making it easier to debug and to remove any error or issue in the program as soon as it gets detected. It provide the feature to decorate your texts in code like comments or a simple line by changing the size, boldness and font of the text. It supports various languages like Python, R, Ruby, etc which also makes it to have better cross language support in the program. Use of data visualisation modules like Matplotlip and Seaborn is quite efficient on this platform. I use this often to make my python projects and ML projects. Review collected by and hosted on G2.com.

Sometimes if the code is big and has too many cells, it takes too much time to execute. It runs on the browser of your choice but it also depends on the version of the browser thus it is very important to maintain the version of the browser updated. And it is difficult to make any version control changes like Git or to upload it to Github. Review collected by and hosted on G2.com.

I like the remarkable versatility with which I can run and test my code directly in the The Jupyter Notebook environment even when working with remote servers; The Jupyter Notebook not only has the ability to visualize and organize my scripts and output in a browser page, but also allows me to work in multiple formats such as Markdown or even SQL saving me time and reducing potential errors in the final analysis. Review collected by and hosted on G2.com.

You've to spend a few hours understanding how to set up virtual environments and resolve specific dependencies, so initially configuring and learning the tool can be somewhat intimidating. Review collected by and hosted on G2.com.

It's features of given output of each cell Review collected by and hosted on G2.com.

Update version not show documents of each topic Review collected by and hosted on G2.com.

Jupyter Notebook is an open source web based application that provide flexibility to users to create documents with markdown and heading live code and charts and data visualizations. I am using Jupyter Notebook for my data science projects such as data exploration data visualization data analysis and model training. user friendly application that makess it easy to import libraries Review collected by and hosted on G2.com.

Error message :- that is very difficult to understand errors by reading error message specially for the beginner the error message too complex to understand Limited customizing for layout and appearance . In Jupyter Notebook is difficult to track updates or changes and version control. Review collected by and hosted on G2.com.

Easy to implement Python code and machine learning models. It helps a lot for data visualizations. Review collected by and hosted on G2.com.

The GUI is outdated and lacks an integrated development environment; we need to return to the home page each time to manage files. Review collected by and hosted on G2.com.

The best feature I like about it is that you can create documentation along with your codes which improves the readability of my work. Review collected by and hosted on G2.com.

It is slow when it comes to loading modules and does not provide as many features as other IDEs like VS Code, Spyder, etc. Review collected by and hosted on G2.com.

you can write your code in cells to make it more organized and easy to understand code. rather than commenting down you can write the highlited comment which can be the title of the specific cell to understand the code. Review collected by and hosted on G2.com.

debugging code is challenging with jupyter notebook other than that I dont face anything to be worth dislike as I am using it from past four years. Review collected by and hosted on G2.com.

The User Interface that allows flexibility of Data Analysis Review collected by and hosted on G2.com.

File loading issues of the file's size is too large Review collected by and hosted on G2.com.

Daily go to for python use. This online IDE requires no download of software and regular updates. Jupyter in my opinion is the best editor for data analysis. Easy to setup and use. Review collected by and hosted on G2.com.

Not easy to search through long lines of code to make edits. shortcuts take a bit of time to get used to. Review collected by and hosted on G2.com.

Jupyter Notebook is the best Web based computation environment IDE for Python, jupyter notebook is a browser based application used for coding, and creating notebooks and documents. It has an effective tool and large library support for data analysis and data science and helps in the area of artificial intelligence Review collected by and hosted on G2.com.

Jupyter Notebook only supports Python not another programming language and error is not simple to understand it has some other facts that can consider whenever I get an error it is too large and not understandable must provide a simple and sort error 1 some time when the library updates are some functions are removed it should be mentioned to avoid error 2 Spell check and Missing auto-correct/format feature show suggestion is not available Review collected by and hosted on G2.com.