5 prompts
Write a script in [language] that generates [number] realistic fake records for [entity, e.g. customers with orders] matching this schema: [schema]. Use a faker library, keep relationships consistent, and output as [SQL/JSON/CSV].
Creates realistic fake data for development and tests.
Write a pandas script to clean this CSV: [describe columns and problems, e.g. mixed date formats, duplicates, missing values, inconsistent names]. Log each cleaning step, keep a summary of rows changed, and save a clean file.
Cleans messy CSV data into an analysis-ready table.
Write a Node.js script that [task, e.g. reads a CSV and calls an API for each row]. Use async/await, limit concurrency to [n], retry failed requests with backoff, log progress, and handle errors without crashing. Include package.json dependencies.
A clean Node.js script with proper async error handling.
Write a [Python / Node.js] script to transform data. Input format and sample: [paste] Desired output format and sample: [paste] Rules: [renames, filters, calculations, date formats] The script should read from a file, handle missing or malformed values, log problems, write the output file, and be easy to rerun. Includ…
Convert, clean and reshape data between JSON, CSV and other formats with a reusable script.
Act as a Python developer. Website: [URL or type of site] Data to extract: [fields] Pages: [single page / pagination / list of URLs] Output: [CSV / JSON] Write a script using requests + BeautifulSoup (or Playwright if the page needs JavaScript) that: - Respects robots.txt and adds a delay between requests - Sets a cle…
Build a polite, robust web scraper that extracts structured data and saves it to CSV or JSON.