BBEdit vs. Jupyter Notebook

BBEdit's free version is great as an update to the group's previous product Text Wrangler, which, as that name implies, allowed us to manage any text to remove odd formatting and adjust the text to our specific needs as a publishing group. The paid version, which I am less familiar with, has considerably better tools if you are seeking BBEdit for coding purposes, as its HTML ability is much better than the free version I use more regularly. If you are looking for a word processor or other more polished text files, this is unlikely to suit. But if you want a simple program with surprisingly complex uses for preparing text for another program or writing code, this may be the program you need

Incentivized

I would rate it 9/10 while recommending Jupyter Notebook as it offers me a wide range of functionality to operate. It is very well suited for someone who is new to python programming as the user interface helps you build code line by line. I personally have written multiple programs in Python using Jupyter Notebook as it helps me organize long code by breaking it in a structure. Also the ability to write comments using '#' helps a lot to a reader understand the code.

Incentivized

• I love the SORT functionality of BBEdit
• The ease of use makes it a superior product to every text editor out there.
• BBEdit handles text like a pro, and like all text, editors should.

Incentivized

• Coding and error correction line by line
• Simple and Effectiveness
• Easy to use for visualisation and presentation of code
• Could be used at any place any time without hassle

Incentivized

• It's still a little techy for my uses.
• I have some issues with making my preferences stick. But they're minor.
• I have tried other code editors, and this one is the best.

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

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

Updates are frequent and I can't recall any issues with broken programs or vulnerabilities. The team behind BBEdit is also generous with its free trials, allowing long-term free users to have multiple chances to sample its full software. I am unsure if I had issues how the support would be, only because I have not needed them

Incentivized

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

Incentivized

Compared to Brackets, BBEdit feels faster, leaner, and has more utility value. Brackets feel oriented towards coders specifically, whereas BBEdit is like a toolbox of text tools for a wide array of needs. I feel like the same is probably true for Visual Studio Code, but I have barely used it. Visual Studio Code is used by my company's IT department, and from observation, it seems like a very capable coding application. I expect to dig into it further when I have time.

Incentivized

Jupyter Notebook is unique in that it offers a flexible, lightweight, easy-to-replicate way of organizing your code in a visually intuitive fashion that can be exported in a number of formats. I've found that the broad functionalities available within the notebooks suit a lot of needs I have for EDA, modeling, and data export that makes other software products fairly redundant.

Incentivized

• BBEdit has literally saved product launches by speeding the process of scrubbing and prepping large-scale data imports.
• It's eliminated hours per week of waiting for "full-featured" IDEs.

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