Jupyter Notebook vs. Microsoft Visual Studio Code

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

Microsoft Visual Studio Code is highly recommended for the development of systems and / or complex applications entrusted to work teams under a specific methodology, and its use is also recommended for the maintenance of previously developed applications.

It is not recommended as a learning environment for developers with little experience as the learning curve would be too high

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

• Very accessible -- it's compatible with all platforms and environments, free to install, and fast to open
• Strong native support for many languages, and very strong extensibility to provide advanced language features
• Git integration is top-notch, often displaying a better history, diff, and merge interface that is otherwise available in version control systems

Incentivized

• 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

• Lack of button bar like ones found in Visual Studio.
• Lack of integrated help that could link to YouTube, Channel 9, or other Microsoft videos on how to learn about features.
• Integration with Team Foundation Server.
• Would like to see it having some sort of integration into a Web API testing harness.

Incentivized

Solid tool that provides everything you need to develop most types of applications. The only reason not a 10 is that if you are doing large distributed teams on Enterprise level, Professional does provide more tools to support that and would be worth the cost.

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

This is a tool for programmers and it works like many others. If you are in the development world already then you will be sailing in no time with Microsoft Visual Studio Code. It is also great for new developers and it is very easy to use and you can get all the tools you need in one place as you begin to learn.

Incentivized

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

Incentivized

Active development means filing a bug on the GitHub repo typically gets you a response within 4 days. There are plugins for almost everything you need, whether it be linting, Vim emulation, even language servers (which I use to code in Scala). There is well-maintained official documentation. The only thing missing is forums. The closest thing is GitHub issues, which typically has the answers but is hard to sift through -- there are currently 78k issues.

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

[Microsoft] Visual Studio Code beats the competition due to its extensibility. Their robust extensions architecture combined with the plethora of mostly free extensions written by the community can't be beaten. The fact that this tool itself is provided by a world-recognized company, Microsoft, free of charge is phenomenal. The goodwill garnered by them is immeasurable. Other tools I've used were missing features or were just too rigid, too complicated, or too unsophisticated for my liking. The fact that VS Code is easy to mold to my will with the right extensions seals the deal.

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

• Positive impact on minimizing time wasted by employees with software installation and setup
• Positive impact on reducing spend on software licensing
• Positive impact on minimizing time used to manage different applications for different purposes - this performs all of the functions we need in basic coding

Incentivized