The Jupyter Notebook Reviews & Product Details

A nice application that allows you to use markdown and python code at the same time. Creating documentation dynamically is very easy. It is very practical especially for those who are starting to learn Python. I thought it was only used for python but it has support for a lot of languages. Very useful notebook application especially for reporting and presentation. Suitable for data science, machine learning, and deep learning studies. The interface is simple and beautiful. It's like writing code in Word. Review collected by and hosted on G2.com.

Due to not remembering the operations performed, it's very frustrating to have to run the kernel again every time I reconnect. It's hard to stop the kernel. When there is a problem with the browser, the code disappears without saving. Images do not open or load slowly during image processing. Review collected by and hosted on G2.com.

Jupyter is accessible across all desktops and is accessible anywhere you go. The notebook is easy to use since the "code" mode is already embedded in the notebook. Review collected by and hosted on G2.com.

I do not have any issues with Jupyter so far. Review collected by and hosted on G2.com.

Jupyter is easy to use, and you do not need to download it on your local machine. You can use it on the browser which is you are using, which is helpful. Review collected by and hosted on G2.com.

The only thing which I do not like is you can only use it when the internet is on. Review collected by and hosted on G2.com.

Easy to use, light weight and user-friendly. Helps in creating dynamic documentation of the code making it very easy to explain. Review collected by and hosted on G2.com.

At the moment, there is limited integration of Jupiter notebooks with other tools, unless the integration is written from within the python code. Review collected by and hosted on G2.com.

Jupyter Notebook is great to showcase the work where you can see the code as well as the result. Run option cell by cell makes its convenient. Good for visualization. Can be used at any time without any issue. Review collected by and hosted on G2.com.

No standard libraries imported already. Results and images are not alterable in size. Runtime is more. Display is not great. While executing codes sometimes screen gets freezed. Review collected by and hosted on G2.com.

Ease of retrieving the desired results with just specifying the variable name. No print statement is required every time as it is required in PyCharm or other Python terminals. Review collected by and hosted on G2.com.

When the Notebook is open for long, the output results can get disturbed in between which changes final results. So you have to restart the notebook again in that case. Review collected by and hosted on G2.com.

Jupyter notebooks are very easy to use with minimal setup. It keeps all code, graphs, comments (it supports Markdown cells which make for amazing in-line commentary), models in a single document that I can share with colleagues/commit to Github. It's particularly good for displaying graphs and visuals interactively. For Data Science/Analytics, this tool allows for seeing code incrementally in-line, which helps when doing exploratory analyses. Also, it supports multi-language programming and can be converted to a variety of file formats. Review collected by and hosted on G2.com.

There is no linting and correction, and you can't integrate it with an existing IDE. Also, I wish it allows for easier collaboration. Bottom line, this is an excellent tool for data exploration but not the best option as a programming asset in production pipelines. Review collected by and hosted on G2.com.

Like jupyter notebook much since has can be accessed from any browser and different machine. Also running code in individual cells also looks great with online graphs display. Can work from any system and access same code placed on cloud or git. Also can be installed on local machine easily. Review collected by and hosted on G2.com.

Sometime auto code completion for not work properly. Also in some other integrated environment like Google colab short cut not works Review collected by and hosted on G2.com.

The ability to add Notes as comments and as markdown makes Jupyter Notebook stand out. Another thing I like is we can run commands line by line, so basically, we don't need to run the whole code. Review collected by and hosted on G2.com.

There should be a way to compare changes on Git. When you save a Notebook on Git, I didn't find a way to compare the changes. It just updates it. Review collected by and hosted on G2.com.

A straightforward and easy to use interface Review collected by and hosted on G2.com.

Lack of click-use/drag-drop commands for basic codes. Almost every control executed as a code (I mean updating packages and even basic snippets) Review collected by and hosted on G2.com.