Dropbox vs. Jupyter Notebook

I used other systems with other work I do and Dropbox is far and away the one that simply works all the time. Outages and storage limits with high prices are two frustrating features of other systems, along with general incompatibility. Finally many of the other systems just don’t work as promised. Dropbox always does and has for over a decade.

Incentivized

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

• It is secure. I haven't had any breaches whilst using Dropbox.
• Its search functions helps me find relevant files and images quickly.
• It backups on a frequent basis that I can take it for granted that my files are being backed up.

• 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

• I’d like to be able to hover over an image/document and have it expand/enlarge without actually opening it
• I’d love to see a carousel that lets me thumb through more quickly
• I’m almost always in thumbnail view. I’d like to see them re-organize automatically when something is moved or deleted instead of leaving an empty space.
• AI options for photo editing.
• Easier pdf markups

• 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

Dropbox is a user-friendly, easy tool which requires little to no skill and they offer a free version with a good amount of storage available. There are other file sharing tools available however at a cost. Dropbox free version I have used for years and it serves every purpose I need.

Incentivized

Because the program is simpler, it does not use large resources to run, and there are no problems on older operating systems. It is easy to use for both private and business use. It's a bit annoying that the same texts have to be rewritten multiple times. Consider whether you want the truth or for users to actually answer quickly and easily.

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

Dropbox is really useful, you can access any file from anywhere and you can upload and even edit files online, but, sometimes it can be slow. Downloading, uploading, and syncing is a bit slow, it can take several minutes. Furthermore, the search engine for large amounts of data can be slow too and it is not powerful.

Incentivized

They immediately responded like in an example that I gave where one of our staff members accidentally deleted the whole Special Hope Network Dropbox, we immediately contacted Dropbox they walked us through the steps of how to retrieve the information and luckily enough we were able to retrieve the entire Dropbox and we have had back and forth with Dropbox on what to do when an employee leaves how to remove them how to add another employee.

Incentivized

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

Incentivized

I did not personally take any training for Dropbox so I am self taught but I know when our Vice President selected Dropbox, he personally did do some training modules on it and I'm assuming it was very easy and simple to understand since he now acts like he is a pro at it!

Incentivized

I needed to stay current in improving my daily operations. Dropbox
was suggested to me by a former colleague two-years ago and I've been using it just fine ever since.

I have been using the above platforms for some ten years now. They all do their job; however, Dropbox has become my favorite for general purposes and everyday use. I use different platforms like iPhone, Android phone, Win11 PC, and MacBook, and in the case of DB, I do not need to learn how it works on the specific platform. I can use it the same way everywhere, and it is well integrated into its file system.

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

bc i think box.com is better and more affordable

Incentivized

• Being a small business, the pricing is a little steep for my organisation, specially when it's not directly reimbursable to my clients. But the confidence of being able to access all my years of work in a few clicks saves me huge amounts of stress and effort. It's true power comes to light when an unfortunate incident causes panic about probable loss of access to valuable data. It is delightful when it gets resolved without breaking a sweat. Hence, I would say that it is eventually worth every penny.
• I am a designer, and I like to create a lot of options for my work. Each of these options is a potential asset which can be potentially monetised directly, or at a future date. Hence, being able to retrieve it at the right time is priceless.

• 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