Typst Reviews

Google BigQuery Reviews

Typst mentions (18)

• LaTeX and Neovim for technical note-taking

  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

• LaTeX and Neovim for technical note-taking

  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

• I'm able to take notes in mathematics lectures using LaTeX and Vim (2019)

  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

• I don't always use LaTeX, but when I do, I compile to HTML (2013)

  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

• Htmldocs: Typeset and Generate PDFs with HTML/CSS

  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

Google BigQuery mentions (35)

• Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌

  Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago

• Modern data stack: scaling people and technology at FINN

  Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago

• Running Transformations on BigQuery using dbt Cloud: step by step

  Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 10 months ago

• Do I need a cloud computing–based data cloud company

  You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago

• I used ChatGPT to get an Internship

  Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago