Typst might be a bit more popular than Databricks. We know about 18 links to it since March 2021 and only 17 links to Databricks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I have been using Typst[1] for taking notes on machine learning. It's fast (updates are instantaneous). The syntax is almost like Markdown. I tried to learn LaTeX but Typst seems to have an easier learning curve. [1]: https://typst.app/. - Source: Hacker News / 3 months ago
I'd personally consider using Typst (https://typst.app) instead of LaTeX. It has a much more readable syntax and you don't need as much snippets to write it. You can use in on their website or run the compiler locally just like LaTeX. - Source: Hacker News / 3 months ago
For writing math notes (especially in vim), I switch to using Typst (https://typst.app). Here's a few points: - The syntax is a lot lighter and easier to type fast. I was up and running in half hour after starting to use it. Once in a while I can look up some symbol name in the docs but that's about it. - Empty document is a valid document. No preambles, no includes etc, it's all optional and the defaults are... - Source: Hacker News / 4 months ago
Have you seen typst? I have moved over from LaTex to Typst and most if not all your use cases are covered. https://typst.app/. - Source: Hacker News / 4 months ago
How does this compare to Typst?[1] What I like about Typst is that I can use it completely offline and with my editor of choice. Is this planned for htmldocs too? [1] https://typst.app/. - Source: Hacker News / 5 months ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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