Jupyter Notebook vs. NetBeans

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

Incentivized

NetBeans is extremely user friendly and easy to start developing complex applications. Adding and configuring external libraries is much simpler than in Eclipse. It is highly cost effective and most of the latest framework based libraries required are automatically downloaded to the projects. The overall tool is also light weight and consumes less memory as compared to other competitor tools.

Incentivized

• Simple and elegant code writing ability. Easier to understand the code that way.
• The ability to see the output after each step.
• The ability to use ton of library functions in Python.
• Easy-user friendly interface.

Incentivized

• Debugging - Save time hunting down errors by stepping through the code to find the root of a problem.
• Refactoring - Easily rename classes and variables or make other structural changes using built-in refactoring tools.
• Service management - NetBeans integrates seamlessly with web application servers like Tomcat and GlassFish.
• Source control - Works well with Git and other version control tools.

• Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
• Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

Incentivized

• NetBeans [should] work smoothly with systems having less RAM. Systems with less RAM face trouble with NetBeans.
• File open history also requires improvement. Once NetBeans is restarted, all files are closed automatically and there is no shortcut to open last opened files.

Incentivized

Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

Incentivized

Netbeans enhances my coding work, shows me where I have errors and helps find variable instances. I would be lost without find/replace in projects functionality as I use projects as templates for new projects. Occasionally the code hints aggravate me, but I understand that it is actually making me a better coder, working to get the 'green light' of a clean file with no errors or clumsy code.

Incentivized

I haven't had a need to contact support. However, all required help is out there in public forums.

Incentivized

NetBeans has a very strong user community. We can find solutions here for almost all the problems we face. In addition, we can forward NetBeans Support teams the problems we cannot solve. We can get quick feedback from the support teams, but I generally try to solve my problems by following the forums.

Incentivized

With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.

Incentivized

It works very smoothly as compared to other tools . The problem of restarting and reimporting the projects is not in the netbeans IDE . The front end development features are good . Netbeans connector is one of the best thing which enables us to deeply integrate netbeans IDE with google chrome browser

Incentivized

• Positive impact: flexible implementation on any OS, for many common software languages
• Positive impact: straightforward duplication for adaptation of workflows for other projects
• Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

Incentivized

• By working on Netbeans I just learned one more tool and can teach others about it. One should learn every tool so that it might help someday if another editor is not available and you have to use different software for your work.
• Compiling code became easy as it is not a feature of normal text editors. Only IDE can do this.

Incentivized