The collaborative aspect is fantastic! I can easily share my notebooks and get feedback in real-time.
The learning curve can be steep for new users, especially those unfamiliar with coding.
It streamlines my workflow and reduces the time I spend coding, allowing more time for data interpretation.
The contextual suggestions are a game changer! I can code much faster, and the collaborative features are fantastic.
It sometimes takes a moment to load, but it’s not a major issue.
It significantly reduces the time I spend on repetitive coding, allowing me to focus on more complex analysis.
The AI suggestions are very helpful for speeding up my coding process during data analysis.
I feel the pricing could be more competitive compared to other similar tools on the market.
It allows me to work more efficiently, especially when collaborating with others on data projects.
I love the collaborative features, which make it easy to work on projects with my team in real time. The AI suggestions are quite helpful too.
I wish there were more tutorials to help new users get started with the tool effectively.
It streamlines the coding process for data science projects, allowing me to focus on analysis rather than boilerplate code.
I appreciate the AI-powered code suggestions that save me time when writing repetitive code. It's particularly helpful for data analysis tasks.
The interface can be a bit overwhelming at first, and sometimes the suggestions are not as contextual as I'd like.
Deepnote helps me reduce the time spent on coding by providing relevant suggestions, but I still find myself needing to make manual adjustments often.
I like the idea behind the AI-powered suggestions; it has potential to save time.
However, I find that it doesn’t always understand the specific context of my work, leading to suggestions that aren't very useful.
It helps in reducing repetitive tasks, but I still manually intervene quite a bit to correct the suggestions.
The code suggestions are usually accurate and save me a lot of time when I'm working on data projects.
Sometimes, the AI doesn't understand the context perfectly, leading to irrelevant code suggestions.
It helps me code faster and with fewer errors, making my data science workflow much smoother and more efficient.