The Jupyter Notebook Reviews & Product Details

The best thing about using The Jupyter Notebook is that it is compatible with both online and offline coding. Sharing the document that contain live coding makes it different from other softwares. It is mostly used for data science projects. Review collected by and hosted on G2.com.

They don't have the build in version control that's the only thing i dislike in it. Review collected by and hosted on G2.com.

It allows me to experiment a ML model quickly Review collected by and hosted on G2.com.

Sometimes package issues come up, so I need to restart the runtime Review collected by and hosted on G2.com.

Jupyter notebook is the free web application.so for me it is the best application for the developer.in that we can write our code,we implemented lot of problems regarding our project and it is very helpful for me in my project.and it is open source application.so i recommended that go for this app, because for me it gives very good experience. Review collected by and hosted on G2.com.

I feel it is not too secure application.but for practicing and write basic code so it's good application. Review collected by and hosted on G2.com.

Its adaptability is one of the features I admire the most. I can work with several programming languages, such as Python, and other simultaneously. This saves me a tonne of time because I can flip between languages without switching to a different software programme.

The interactive nature of The Jupyter Notebook is something else I like. I don't have to run a different software or write the code in a text editor and then execute it in a terminal to play with the code and see the results. This makes it much simpler to experiment with various concepts and quickly refine my code. Review collected by and hosted on G2.com.

I must admit that there are a few features of Jupyter Notebook that I occasionally find difficult as a developer!

The software has the potential to be pretty slow sometimes, especially when working with large datasets or carrying out complex calculations, which is something I do not appreciate as a developer. This can be annoying when I'm trying to get things done efficiently and swiftly.

When I'm working on a project, my notebook may occasionally freeze or the kernel will crash, which is quite aggravating. I find that using it can occasionally be a little difficult. Even if there is a lot of interaction, it might be challenging to remember which cells I've ran and which ones I haven't, which sometimes can result in confusion or mistakes! Review collected by and hosted on G2.com.

I consider Jupyter Notebook's adaptability to be one of its strongest qualities as a student who uses it for projects. Jupyter Notebook enables me to effortlessly combine all of these tasks into a single project, whether I'm working on a data analysis, writing code, or producing visualisations.

The capability to record my approach and advancement within the notebook itself is another fantastic feature. I can write explanations, include photos and links, and logically arrange my code using markdown cells. This not only makes it simple for me to share my work with others but also helps me keep track of my efforts. Review collected by and hosted on G2.com.

I must admit that there are a few features of Jupyter Notebook that I occasionally find difficult as a student!

The sporadic instability of Jupyter Notebook is one of my pet peeves. The kernel will occasionally crash without warning, which is disappointing when I've put a lot of time and work into a particular project. It's also possible that some libraries or packages won't function properly with Jupyter, which can lead to problems that are challenging to fix.

The absence of effective version control is a problem I've run upon. I can save different versions of my work in Jupyter Notebook, but it can be difficult to follow changes and work with others on the same notebook! Review collected by and hosted on G2.com.

It helps to query data and get insights. Especially when you need any data on a custom basis. Review collected by and hosted on G2.com.

Nothing much, loving it. Using from 4 years. Review collected by and hosted on G2.com.

As a beginner, I appreciate the interactive interface of Jupyter Notebook because I can share images, code, and text in one place. I have also found using multiple programming languages like Python very useful. Review collected by and hosted on G2.com.

However, I have noticed some compatibility issues with other tools, which can make it difficult to share information in some cases. The lack of version control also makes it challenging to keep track of changes made by different collaborators. Review collected by and hosted on G2.com.

It helps me to create recommendation system like movie recommendation system, speech recognition system and face recognition. It allows various python libraries Pygame, Matplotlib and Panda which allows me to create beautiful graphics. Review collected by and hosted on G2.com.

Nothing to dislike in this software except it takes more memory for processing. Review collected by and hosted on G2.com.

Jupyter Notebook enables us to create and run code interactively. This means you can execute code snippets and instantly see the results, which is useful when exploring data or experimenting with new ideas. Jupyter Notebook supports Python, R, Julia, and other computer languages. As a result, it is a highly flexible instrument for data processing, scientific computing, and machine learning. Review collected by and hosted on G2.com.

When used with revision control systems such as Git, Jupyter Notebooks can cause issues. Keeping track of changes, combining modifications, and settling disputes can be challenging. Review collected by and hosted on G2.com.

Using jupyter notebook, we can create notebooks and run our Python code. It is very useful for running machine learning, deep learning concepts, and data science. In jupyter notebook, we can switch over the environment by changing the kernel and easily installing python packages. Review collected by and hosted on G2.com.

When dealing with large amount of dataset, it is easily get crashed. While solving problem using machine learning, we often use large amount of dataset to train but it crashed in half way. Review collected by and hosted on G2.com.