Deseat.me Reviews

Python Reviews

Deseat.me mentions (5)

• Before degoogling, I need to delete associated accounts

  I am looking for a service that can look up my entire email history and not compromise my privacy. deseat.me is proprietary and not trustworthy, I wonder if there is something open source like it, with full access to my mail and able to detect everywhere I signed up with that mail. Thanks in advance. Source: over 4 years ago

• Something like deseat.me, but open source?

  Deseat.me is a service that allows you to see every single service you signed up from your email. I used to delete a lot of mails and sadly it's impossible to do it manually. So I wonder if there is an script or open source tool that does the same, but with no tracking or spying. Source: over 4 years ago

• How to know what sites I joined with Gmail?

  I'm degoogling and deleting every single Google account I ever created. The first problem is I created over 100 accounts with them and I deleted the old mails too, meaning I can't just search the history. There are sites like deseat.me but they are not trusted and r/privacy discourages them. And some sites require email confirmation to delete anything. Without it it may not be possible to delete them. Source: over 4 years ago

• deseat.me alternatives

  Deseat.me is closed source, which is suspicious. I think the creator has no reputation in anything privacy related, which is suspicious. It's a free service to trace all my emails, which is suspicious. Source: almost 5 years ago

• Cleaning up the online footprint

  My details are probably all over the internet, can any of you help me out with cleaning up the online footprint as best I can? Is there a best way to do this? I've heard different things about deseat.me. FYI I'm in the UK so, yknow, privacy laws. Source: about 5 years ago

Python mentions (299)

• How to Build a Dependency Map of a Legacy Codebase Using AI Tools

  137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago

• How to Prepare a Legacy Codebase for AI-Assisted Refactoring

  For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago

• Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)

  Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await — no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago

• Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing

  **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - “Save this data” - “Get this data” - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago

• Asyncio: Interview Questions and Practice Problems

  Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago