The Jupyter Notebook Reviews & Product Details


What is The Jupyter Notebook?

Jupyter Notebook is an open-source web application designed to allow users to create and share documents that contain live code, equations, visualizations and narrative text.

Write a Review

The Jupyter Notebook Profile Details

The Jupyter Notebook Profile Details

Vendor
Jupyter Open Source
Company Website
Year Founded
2014
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
Employees on LinkedIn®
30
Twitter
@ProjectJupyter
Twitter Followers
47,154
Show moreShow fewer

Companies Using The Jupyter Notebook

Microsoft
IBM
Google
Rackspace
NetApp
NASA
Northwestern University
Quantopian
George Washington University
University of California Berkeley
AMARO
California Polytechnic State University

The Jupyter Notebook Reviews

Filter Reviews
Filter Reviews
Sort by
Ratings
Company Size
User Role
All Industries
Review Type
Region
Write a Review
1-25 of 70 total The Jupyter Notebook reviews

The Jupyter Notebook Reviews

Write a Review
Filter By
Review Type

Connections
Show reviews that mention
1-25 of 70 total The Jupyter Notebook reviews
MIX Maker Assistant
Computer Software
Small-Business
(11-50 employees)
Validated Reviewer
Verified Current User
Review Source
Most Recent The Jupyter Notebook Video Review
Copy Review URL
Copy Review URL
Software Engineering Trainee
Banking
Enterprise
(1001-5000 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"One for All!!!"

What do you like best?

1. Rich Features like multiple language (python, java, etc), different environment.

2. You don't have to install multiple IDE, Jupyter Notebook can handle all.

3. Easy to use, a single ENTER will compile your code.

4. Good for writing complex structure as you can easily break into chunks and compile in Jupyter Notebook.

5. Best for Presentation and Educational purposes.

What do you dislike?

1. Easy to use not that easy to adapt. Its complex structure sometimes overwhelm you.

2. Not good for heavy usage.

3. Support tool for Notebook files is not that great compare to other software.

4. Without network you cannot access your files which are on cloud. Its good to access file from anywhere but sometime it can be a problem too.

Recommendations to others considering the product:

Jupyter Notebook is great for Developers as they can present their work, for students as they can learn their easily, writing code is easy in Jupyter Notebook.

What problems are you solving with the product? What benefits have you realized?

In my company we mostly use Jupyter Notebook for Educational purpose and some time to present statistical information to the clients as i don't find any better way to do it.

Copy Review URL
Data Engineer
Small-Business
(2-10 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL
Business partner of the vendor or vendor's competitor, not included in G2 scores.

"The Python Notebook"

What do you like best?

I love the fact that when I am learning something new, I can add text blocks (markdown) to my notebook, as this helps me explain whatever the code in the code block is saying for future purposes. I also love the fact that one can save files as either .ipynb or .py.

What do you dislike?

I dislike the fact that when I am running a block of code which will take a while to run (for instance, training a neural network), and I mistakenly close my browser or any other form of interruption occur, I always have to restart my training process (which is annoying), because it doesn't continue anymore.

What problems are you solving with the product? What benefits have you realized?

When learning anything new on python, data science or deep learning, I am able to save everything I have learned so far on one notebook file, without clearing my code. This helps me whenever I want to revise something I have learned before.

Copy Review URL
software develper
Enterprise
(10,001+ employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"best tool to start journey with python"

What do you like best?

it is very light weight and is very fast working tool. it can be opened in any folder and can be used any cmd prompt it is very easy to use and flexible it is very good for the beginners as well as advance coders. it is very good and can be used for any snippet of code.

What do you dislike?

the thing i do not like is, it do not have dark theme and many times it hangs.it also do not have direct support to git repo and azure.other than this all the things are best.

Recommendations to others considering the product:

i will say everyone to use it and will say it is the best tool to use and by using it u will make it a great deal.

What problems are you solving with the product? What benefits have you realized?

i use it to make my python code. and to make API and to deploy it live it is very flexible to make small codes and to make a full python code.

Copy Review URL
Software Developer
Enterprise
(10,001+ employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Review for Jupyter Notebook"

What do you like best?

The good features of the jupyter notebook are the data analysis tools, and working as a team on a project and sharing or collaborating on the notebook at the same time.

I also find the presentation mode of the jupyter notebook pretty helpful and convenient.

What do you dislike?

There is a lot that I don't like about the notebook too. It does not have an IDE integration and as a python developer, i find the lack of linting annoying.

Code testing is not feasible through jupyter either, and the version control on it is horrible. You lose track the moment you merge 2 notebooks.

Recommendations to others considering the product:

As I mentioned earlier, I would recommend using jupyter for data analysis and basic coding, but not for complete backend development.

What problems are you solving with the product? What benefits have you realized?

Our team has used Jupyter notebook a lot for general data analysis and data mining for R&D work. Although it is good for simple analytical tools, I would not recommend jupyter notebook for full on software development.

Copy Review URL
Full stack developer
Enterprise
(1001-5000 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Awesome fast and light weight ... impressed "

What do you like best?

as a developer i need that the tool may must be fast and easy to handle and flexible and this all properties are present into the jupyter notebook. I use it for python and it is i guess the best solution present into the market. am very very happy to use it

What do you dislike?

the thing i do not like is it do not have dark theme and i need it to get the feel of a hard code developer. one more thing it do not have direct git support. otherwise all the things are upto the mark

Recommendations to others considering the product:

i would like to tell every one to use it for python and it is very fast and good to code and to impress client

What problems are you solving with the product? What benefits have you realized?

i use it to make my POC's and to code and learn python it is the best for the python and fast

Copy Review URL
Associate Professor
Enterprise
(1001-5000 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Fastest in Development process"

What do you like best?

The code block execution is best feature a developer needs for fast prototyping and debugging.

It really helps for small scripting and project types.

Most of the time we do need to share a piece of code written, the in built facility in jupyter notebook to export the code is very code.

What do you dislike?

Occasionally, for a large project the initialisation of notebook does take some time.

Code versioning is kind of feature it lacks. Also the git commit is a lot of tedious

task to remove the css block details.

I have also seen the kernel does freezes some time, and then not able to restart kernel (rather it needs whole process of re initialize kernel)

Recommendations to others considering the product:

Adopt and take ideas to fast prototyping

What problems are you solving with the product? What benefits have you realized?

Majorly scrapping data for data science project. For python scripting used in mini project

Copy Review URL
OPEN SOURCE DEVELOPER
Small-Business
(Myself Only)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Jupyter , the best IDE for Data science learners "

What do you like best?

It is freely available.

It allows to edit and run the notebooks via a web browser, also, it allows adding HTML components from images to videos. It is designed to create compelling presentations as it integrates code and its output into a single document that combines visualizations, narrative text, mathematical equations, and other rich media.

Besides, all of this Jupyter notebooks easily convert into PDF and HTML files.

It even allows running other languages besides Python, like R, SQL, etc.

It’s perfect for those who are just starting out with data science!

What do you dislike?

Take some time while importing the modules for the first time.

Not possible to merge two jupyter notebooks.

If changing the name of a variable is done in one place, you have to rename it in other places manually.

Recommendations to others considering the product:

It is the all-time best IDE for all the machine learners and data scientists.

What problems are you solving with the product? What benefits have you realized?

I'm using jupyter often for solving data science problems, visualization, and Data analysis.

Copy Review URL
Reservoir Engineer
Mid-Market
(501-1000 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Clean User Interface for Cloud Computing"

What do you like best?

The user interface is really clean and the dashboard is extremely simple and easy to use. It is easy to locate and click the pertinent icons. The functionality is unprecedented and the access to different languages is available. I use it to run python code and I am able to access a variety of libraries that I need. I have used other user interfaces such as Spyder and IPython and Jupyter Notebooks is my favorite because of the simplicity of use and navigation.

What do you dislike?

I dislike the error tracking window that shows up when you open Jupyter Notebooks. The window does not automatically close when I exit out of the Jupyter Notebook on the web application. I usually forget to close the window since it is not on the web application but instead running on the desktop background. Also, it would be useful if the navigation to try to go up a directory when searching through a folder structure was available on the left hand side.

Recommendations to others considering the product:

The Jupyter Notebook is an open source platform that allows interactive sharing and live coding. I would recommend that you take advantage of this free platform as well as try out R and Julia as you can program in Python, R, and Julia on Jupyter Notebook.

What problems are you solving with the product? What benefits have you realized?

I use Jupyter Notebooks as my preferred platform to create, run, test, and debug python code. Some of the codes I have written in the past have been used to perform web, document and, text scraping using Regex and BeautifulSoup. I have also written Machine Learning algorithms including supervised and unsupervised learning algorithms for example k-means clustering, k-nearest neighbors classification, random forest, neural networks. I have also accessed multiple libraries for example scipy, numpy, scikit-learn, pandas, matplotlib, and IPython.

Copy Review URL
Mid-Market
(201-500 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

""""'My View on Jupyter Notebooks""""

What do you like best?

Jupyter Notebook is best IDE for Python and Machine learning learners .It is also best for SQL ,R language etc. Jupyter Notebooks, formerly known as IPython Notebooks.

These points ,which are like in Jupyter Notebooks is given following ..

1. Its compile the code section by section .

2. I compiled many language like python,R language.

3. Its directly creates a PDF into HTML files.

4. Notebooks has the ability to re-run individual snippets.

5. In a notebook you can edit those snippets before re-running them.

6. Visualizing of Pandas data frames is awesome like excel sheet.

7. Importing python library in easy way .

8. Interface and user friendly compiler.

9.Easily shareable

10. Time of execution is so fast ,when we press shift + Enter and get instant output of code.

11.Notebook files, a HTML web page is automatically generated whenever the file is saved, which can immediately be viewed in any browser .

What do you dislike?

There is nothing to hate Jupyter notebooks but there are some lacks in Jupyter ,I thinks it will be finished in next version of updation .

1. Testing code is so hard .

2. The workflow of Jupyter is not linear .

3. Every user is running a web server all the time.

4. Its difficult to track code.

Recommendations to others considering the product:

I recommends those python learners and Machine learners to switch to Jupyter Notebook ,feel to amazing .

What problems are you solving with the product? What benefits have you realized?

I am learning machine learning using Jupyter Notebooks and solve my problems.

Copy Review URL
Software Engineer
Computer Software
Enterprise
(1001-5000 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Review of Jupyter notebook"

What do you like best?

The User Interface is very interactive. I love the concept of having cells and being able to execute them separately. It makes my life much easier to run very big codes..

What do you dislike?

I find the kernel gets hung quite often especially when doing some tedious calculations. And also, the option to add support for other languages like R is quite cumbersome.

Recommendations to others considering the product:

If you are someone with naive experience in python or R, this will the ideal tool to learn and easily pick up the skills. This software will make your life easy. The best part is it can support multiple versions of python along with R kernel.

What problems are you solving with the product? What benefits have you realized?

I have been trying to do lot of preprocessing of data which is then supplied through pipeline for data analytics models.

Copy Review URL
Intern
Internet
Mid-Market
(51-200 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"My Experience in using Jupyter notebook"

What do you like best?

It is very useful to debug python code part by part and need not wait longer time to run the whole code at once. It enables us to run a code line by line which is the best part i would say.

What do you dislike?

Nothing to dislike except the times when i get stuck which port the jupyter is opening as if 8888 is occupied then i need to figure it out.

Recommendations to others considering the product:

Its really good to use jupyter for large volume code because of its section by section compilation or line by line interpretation. I prefer and recommend it for all machine learning and deep learning purposes.

What problems are you solving with the product? What benefits have you realized?

I run my neural networks python code in jupyter and its the best way to do because the volume of the code is large and time consuming to run it on terminal. So i prefer jupyter whenever i run a python code.

Copy Review URL
Bench Sales Executive
Staffing and Recruiting
Small-Business
(Myself Only)
Validated Reviewer
Review Source
Copy Review URL

"Quick And Handy Python Editor"

What do you like best?

It is very easy to use and very handy in nature.

It has many amazing features such as auto save and word prediction (auto completion).Auto completion feature helps in writing your code efficiently and fast.Auto save feature is also very good,you don't have to save your code every time you execute it automatically saves your code.

You can write multiple programs at the same time since it provides multiple tags to write your code.

What do you dislike?

Although jupyter notebook is very good,and does not have any such dislikes but some times it's kernel crash and sometimes it is unable to import modules.

It is very good for the beginners but it will most probably unable to execute heavy task programs

Recommendations to others considering the product:

I would definitely recommend this software to the beginners and intermediate programmers.Those who are eager to learn python on want to become good python programmer should use this in this in their early days of learning

What problems are you solving with the product? What benefits have you realized?

I'm using jupyter since couple of years and it is very easy to use and makes your task easy to do,

I have been using it to code AI programs and it was pretty good in executing the code efficiently.

But sometimes it's kernel stops working or it is unable to import modules,it must have provide their own console so that we can easily install the modules from it and it will save a lot of time.

Copy Review URL
Enterprise
(10,001+ employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Best, "

What do you like best?

I have been using Jupyter Notebook for just more than a year. One thing I would say is, It has some amazing features which makes you biased towards any software of that sort. I used this for Python Kernel and has helped me a lot in maintenance of the Code. The Performance that you get with Jupyter Notebook is Untouchable. Even the heavy libraries like Seaborn and Scikit learn run like in no time.

Absolutely love it. Must try.

What do you dislike?

Configuration management can be little hectic and confusing. For example, to change default path of the libraray, you got to do plenty of work by looking online.

Recommendations to others considering the product:

Once you try it, You will start loving it. It is very easy to use and has amazing features. You ll focus only on the logic that you should be worried about.

What problems are you solving with the product? What benefits have you realized?

I typically use Jupyter Notebook everyday and run Machine Learning Algorithms. I have developed some pretty cool Predictive models and Jupyter has made my life so easy in that process by handling unnecessary abstraction.

Copy Review URL
Senior Software Engineer
Enterprise
(1001-5000 employees)
Validated Reviewer
Review Source
Copy Review URL

"Great n Fast in converting ideas to implemntation"

What do you like best?

The step wise execution of cell in kernel is the best feature an developer can ask for. Used many other editor where we need to run whole code or need to manually select the piece of code but Jupyter notebook comes to rescue. Also the cell markdown which I used majorly to explain the working of piece of code. Other than this download feature to directly export file into .py format

What do you dislike?

Majorly when committing a notebook in GIT it takes all the changes of checkpoint/output which then is considered as new change where actually there is no change in checkpoint.

Rerunning the importing of package does not takes the changes into consideration, need to restart the kernel.

Some time the kernel just hangs, needs to restart the kernel; occasionally it takes lot of time to restart.

The absence of variable viewer.

What problems are you solving with the product? What benefits have you realized?

At personal & work level I do write a python code to solve business problem. Be it data scrapping, data manipulation or development of Machine learning/Deep Learning models. It does helps to solve the problem of lack of efficient debugger in python when we run the code line by line and we come to know where the exact error is

Copy Review URL
Research Assistant
Mid-Market
(51-200 employees)
Validated Reviewer
Review Source
Copy Review URL

"Makes Python Enjoyable"

What do you like best?

Among all the other features of Jupyter notebook, I'd say the best one is the debugging tools. It has a very good client-server layout on the localhost. Adding HTML components to the notebook is very easy along with single line code execution. Exporting and importing work from the notebook is super easy too, and it just makes python development a very smooth process.

What do you dislike?

Jupyter notebook most often comes as a part of a bigger set of tools with Anaconda. This makes it incredibly slow to start and sometimes it even freezes while it is still running. That is the only downside of it, in my opinion.

Recommendations to others considering the product:

I think Jupyter Notebook is a must have for the field of data science. Libraries such as scikit and numpy work blissfully with this.

What problems are you solving with the product? What benefits have you realized?

I use Jupyter Notebook a lot to manage python projects mostly in data science at UIUC. I think prototyping a project and just visualizing is very easy through the notebook. It is a great IDE and is much better than a simple text editor.

Copy Review URL
Big Data Developer
Computer Software
Small-Business
(11-50 employees)
Validated Reviewer
Review Source
Copy Review URL

"The best IDE for Data Science and Machine Learning Engineers"

What do you like best?

It's not I like Jupiter Notebook, I love it. It has some flaws but I still love it.

It is free and open source. the UI of Jupiter notebook is clean and simple, anyone can get it within minutes. It supports multiple languages, mainly Python and R. Jupiter Notebook has cells, where we write the code and you have to run the cell individually. It helps in ML and Data Science part where if you import a data once you don't have to re run and import again. The visualisation provided is amazing. The keyboard shortcuts are also y handy. You have to run the Jupiter Notebook on browser, you can run it on server also. Also, you can export the code in off, html and many more

What do you dislike?

There are some flaws, the code workflow is not linear which makes it hard to test he code. To import the large data file it gets hang.

Recommendations to others considering the product:

For people who are stating on Data Science and Machine Learning Jupiter Notebook is must. It gives you lot of things, provides good support for libraries such as pandas, Numpy, sci-kit learn. It is very easy to import it and work with these libraries.

What problems are you solving with the product? What benefits have you realized?

Being a Data Scientist, Jupiter Notebook is inevitable part of my life. I use it to create Machine Learning models, analysis of customers data, scraping the data from web to add into ML model, and many more. I have used Jupiter notebook on Google Cloud also so that it will work fast and run continuesly.

Copy Review URL
Associate System Engineer
Enterprise
(10,001+ employees)
Validated Reviewer
Review Source
Copy Review URL

"The best IDE for Python and Machine Learning: simple, effective and pure love"

What do you like best?

Honestly, Jupyter Notebook is my favorite IDE for coding in Python, especially Machine Learning.

It is open source and easy to install.

Jupyter Notebook has cells and you can run each cell individually. It helps you to understand the code line by line. They provide a lot of exporting options such as python, pdf, HTML and many

The user interface is simple and amazing,

You can import many libraries very easily and use it. One of the best things is the graphs, nice beautiful.

Command line shortcuts are also very handy to use.

What do you dislike?

Currently, to import libraries it takes more time, so it will be good if they can improve it. The code workflow is non-linear which makes it little difficult to debug the code.

Also, if your data is big and want to import in a data structure it might hang or will not do at all.

Recommendations to others considering the product:

If you are just starting in Data Science and Machine Learning then there is no better alternative than Jupyter Notebook. Just install it and have fun. Highly recommended..!!!

What problems are you solving with the product? What benefits have you realized?

It solves tons of problems for me. Even for my normal python coding, I use Jupyter Notebook as it provides line by line output. For Machine Learning related stuff I use Jupyter Notebook extensively.

Copy Review URL
Student
Enterprise
(10,001+ employees)
Validated Reviewer
Review Source
Copy Review URL

"A necessary tool for data science"

What do you like best?

Jupyter Notebook is interactive, fast, flexible, and portable. The best feature I like is the ability to run some lines of code separately from other lines of code. This helps a lot while building and debugging a project. It also supports multiple kernels making it easier to write code in many environments. And because it's a notebook server, it runs in a browser with all features of a typical desktop application, so it doesn't take up too much resources on a computer and makes it accessible on an average laptop / PC.

What do you dislike?

Notebooks are good for experimentation purposes, but using them to build real software is tedious and time consuming. Also, a small nitpick is, you have to use a console to start notebooks unless you are using some kind of software which integrates Jupyter, which can sometimes be frustrating.

Recommendations to others considering the product:

Avoid using it for production level coding.

What problems are you solving with the product? What benefits have you realized?

I have done some projects on Jupyter, and it has never come in the way of solving a problem, and that is one of the best things that a tool can aim for, to get work done without you realizing that you are using that tool.

Copy Review URL
Statistics PhD Student
Higher Education
Enterprise
(10,001+ employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Jupyter is an ideal data science IDE."

What do you like best?

Having an easy record of attempts at processing data, while also being able to clean it up for external consumption.

What do you dislike?

More of a Python problem, but it's annoying to have to restart the kernel to load changes in libraries, making things like the input/output number somewhat meaningless.

Recommendations to others considering the product:

Great for projects where the data/experiment can be run on your own machine. I don't have experience with using the server format, but have seen people in my lab avoid Jupyter when it comes to running massively parallel operations on a cluster, in favor of vanilla Python.

What problems are you solving with the product? What benefits have you realized?

I'm solving data science problems, often plotting data, exploring it, running experiments. In addition to the notebook format combining code and markdown, a couple great benefits are the tab-complete and built-in documentation for many functions, and being able to blend between an exploratory Python shell and a formal IDE.

Copy Review URL
Software Developer
Small-Business
(Myself Only)
Validated Reviewer
Review Source
Copy Review URL

"The best IDE or use it anywhere software for developing python code."

What do you like best?

It's super easy to use. The ease of usage comes with its web based GUI.

The best thing about jupyter notebook is that it helps in running small pieces of code written part by part in different sell which helps to keep checking the feature I am currently developing part by part.

Another feature I like the most about Jupyter Notebook is that once I am done developing the different pieces of code for my solution its very easy to organise the whole file by moving the cells movement feature in Jupyter Notebook. And the complete solution it very easy to integrate into google colab for training neural network models.

What do you dislike?

There is nothing that I dislike about the Jupyter notebook.

Recommendations to others considering the product:

If you are a Python Developer. Then this is the best piece of software that you can use for development. Highly recommended.

What problems are you solving with the product? What benefits have you realized?

I am using it from writing code in python, my usage of jupyter notebook for development ranges from writing python code for data science to developing web services or any web application development.

Copy Review URL
Small-Business
(Myself Only)
Validated Reviewer
Review Source
Copy Review URL

""My experience with Jupyter Notebook""

What do you like best?

I like Jupyter Notebook because it is an open-source web application that allows us to create and share codes and documents. It provides an environment, where you can document your code, run it, look at the outcome, visualize data and see the results without leaving the environment

Jupyter is quite extensible, supports many programming languages and is easily hosted on your computer or on almost any server — you only need to have ssh or http access

What do you dislike?

Below are some reasons why somewhat dislike it a bit

1-It is almost impossible to enable good code versioning

2-There is no IDE integration, no linting, no code-style correction

3-Jupyter is bad for running long asynchronous tasks

4-The non-linear workflow of jupyter

Recommendations to others considering the product:

I would highly recommend Jupyter notebook for the people who want's to go in Data science and machine learning field and wanted something which is available at free of cost and supports almost everything that

is needed for clear visualization, it is amazing and you are gonna love it

What problems are you solving with the product? What benefits have you realized?

I'm currently using it for Data science and I can surely say that Jupyter is a lot more than an IDE, you can plot a graph on it, you can see the output on the same screen and a lot more things you can do with Jupyter notebook for more information what a Jupiter can do you can go on this link https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/

Copy Review URL
Data Analytics Manager
Accounting
Mid-Market
(51-200 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"A useful tool for nearly every analytics task"

What do you like best?

Jupyter offers multiple kernel environments, and with its numerous magic commands, I can perform nearly every aspect of your data science project in a single environment. I can load data the database management system of my choice, perform transformations, explore and analyze the data, and create a final pdf or html report, all without leaving the Jupyter platform.

What do you dislike?

The only drawback that I have encountered is how tedious it can be to handle page breaks when creating a pdf report from my analysis. However, my understanding is that the development team is aware of the formatting challenges and continues to improve on Jupyter's capabilities in that area.

What problems are you solving with the product? What benefits have you realized?

I handle all of my analytics and data visualization projects in Jupyter. It allows me to structure my workflow, maintain notes, and write code all in one place.

Copy Review URL
C
Mid-Market
(501-1000 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Python environment done right"

What do you like best?

I think the ability to test and build out solutions step by step is very intuitive and efficient. Often times when I am developing a script, I run into issues that are sometimes hard/difficult to pinpoint. When breaking down the script development, I think it creates a efficient and effective process that enables me to create my best scripts.

What do you dislike?

In the files Navigator, there's a lot of noise. I have so many folders/files on my computer that aren't even remotely relevant to script development. I think expanded abilities to filter and customize this view would be very beneficial.

Recommendations to others considering the product:

Easy tool running from Anaconda. A great stack all around!

What problems are you solving with the product? What benefits have you realized?

I create scripts for a wide array of issues and challenges. There is no single problem, and listing out the problems would be extremely challenging. Python is very versatile and flexible - making it great for problem solving and manipulating/managing data. I think what's great about jupyter is the ability to test in increments and build a solution out from start to end in a productive and efficient fashion.

Copy Review URL
U
Enterprise
(5001-10,000 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"An amazing tool for teaching computer programming"

What do you like best?

I love the way jupyter notebooks allows me to mix code and explanations. The first time I discovered it, I realized the significant amount of possibilities that jupyter can offer to both teachers and students.

I like the possibility of having different cells with code, and run only some of these cells instead of all of them.

What do you dislike?

I do not like that jupyter notebooks does not allow me to profile programming code. Although jupyter is very useful for explaining programming, it does not offer a litter window (or something similar) with variables, values, etc.

I do not either like how jupyter behaves with code requiring a lot of memory. In some examples of use, the notebook did not answer until several minutes after I run a cell.

Recommendations to others considering the product:

I recommend using Jupyter for teaching computer programming if you want to mix text explanations and some examples of code in the same document. The main advantage of using jupyter notebooks is that you can run small cells with code and see the results of only that code.

On the other hand, you can also use Jupyter for your notes about code and examples. However, if you only want to run a program, I recommend using an IDE instead of Jupyter.

What problems are you solving with the product? What benefits have you realized?

I mainly use Jupyter for teaching computer programming using python. Notebooks allow me to include text and code as part of my classes. Those, I can write short explanations about different structures or instructions, and a little example of code that can be tested in the same environment.

I also use Jupyter to store new contents about different libraries. I write the main ideas of the purpose and ways of handling such libraries, and afterward, I include some examples of code and results. can

Copy Review URL
Senior Data Scientist
Management Consulting
Enterprise
(10,001+ employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Interactive, open source, and user friendly"

What do you like best?

It’s free. It’s interactive and enables you to evaluate your code in separate blocks of code. It enables you to effectively combine text, visualization and code to communicate your results with your colleagues.

What do you dislike?

The in-browser is feature free, that is, it treats your code as simple text and does not give you any editing power which is found in some editors such as sublime and R studio.

Recommendations to others considering the product:

Enable text-editing features

What problems are you solving with the product? What benefits have you realized?

I have resolved a llot of data science projects and Jupyter is always my first choice due to the fact that it enables me to effectively communicate my code with my clients/colleagues in a report format. Also, being able to run cells separately makes the debugging process much easier.

The Jupyter Notebook Features

  • Ease of Use
  • File Management
  • Multi-Language Support
  • Customization
  • Straight-Out-the-Box Functionality
  • Help Guides

The Jupyter Notebook User Ratings

9.1
Ease of Use
Average: 8.7*
8.1
Quality of Support
Average: 8.2*
8.6
Ease of Setup
Average: 8.9*
* Python Integrated Development Environment (IDE) Category
Do you work for The Jupyter Notebook?