Based on our record, Awesome ChatGPT Prompts seems to be a lot more popular than TABLUM.IO. While we know about 46 links to Awesome ChatGPT Prompts, we've tracked only 3 mentions of TABLUM.IO. 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.
Awesome ChatGPT Prompts (for devs) An open-source collection of prompts curated for all kinds of dev workflows https://github.com/f/awesome-chatgpt-prompts. - Source: dev.to / about 1 month ago
Awesome-chatgpt-prompts Great for inspiration, not substitution. - Source: dev.to / 5 months ago
Aside from the built-in prompts powered by awesome-chatgpt-prompts (Are you an ETH dev, a financial analyst, or a personal trainer today?), you can also create, share and debug your chat tools with prompt templates. - Source: dev.to / over 1 year ago
I've found the following resources helpful: - 15 Rules For Crafting Effective GPT Chat Prompts (https://expandi.io/blog/chat-gpt-rules/) - Awesome ChatGPT Prompts (https://github.com/f/awesome-chatgpt-prompts) For more resources of like nature, you can search for "mega prompt". - Source: Hacker News / almost 2 years ago
Someone assembled an adhoc page in Github that is amassing quite a large library of prompt ideas [Github]. Source: almost 2 years ago
For the data loaded from the raw and unstructured data sources (RESTful APIs, files, feeds) I'd recommend checking tablum.io. The data first gets into the staging SQL DB where you can apply transformations in SQL (ClickHouse dialect with hundreds of ready-to-use functions for aggregations, transformations, string and array processing, etc). After that, you can set up a pipeline to external DWH or DB. Or just... Source: over 2 years ago
Fairly easy to parse it with Python (or any other scripting languages that support regular expressions). Besides, there're no-code parsers that can do that. E.g. tablum.io, it has a regexp parser that turns poorly formatted text into an SQL table. All you need it is to provide the regular expression (regexp) to split the text (per-line basis or the entire text) into chunks that become SQL rows and columns, after... Source: over 2 years ago
You're right. There should be some way to safely pass the authentication token without storing it in the query. BTW, to keep all data within the company network perimeter and no share any keys with the cloud service, one can install tablum.io as a self-hosted version on a Linux server (it runs in Docker). Source: over 2 years ago
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