Deepfakes web Reviews

1. Guest

   over 5 years ago
   Awesome but scary

   I decided to spend a bit of money to try to make a good deepfake, couldn't believe how easy it was to make a such a realistic deepfake. It's scary how good they are.

Python Reviews

Deepfakes web mentions (6)

• 4 Best Face Swap Apps for Videos

  - Deepfakesweb: Online tool with the ability to create deepfake videos in just three clicks. Source: over 2 years ago

• Mein President….. Steiner…..

  Be the change you want to see - https://deepfakesweb.com/. Source: almost 4 years ago

• Request: please help - Kevin Costner Deep fake

  I've never used https://deepfakesweb.com/ so I don't endorse them or anything, but that looks like the easiest way going. Source: over 4 years ago

• How can you make a deepfake without good hardware?

  For my Abitur exam, I'm doing a presentation on deepfakes. To explain the process and to show that the technology is quite accessible, I want to make my own deepfake. It doesn't have to be long or complicated, just 5 seconds or something like that, but I only have a laptop with a AMD Ryzen 3 3200U Processor and a AMD Radeon Vega 3 Graphics GPU (I hope that's correct). How can I still make a deepfake? I have seen... Source: over 4 years ago

• Any free programs for making a deepfake?

  Yes. I just did a google search and there's a few places you can find to get it done. Gethub, faceswap.dev, deepfakesweb.com for starters. Source: about 5 years ago

Python mentions (300)

• Self-contained highly-portable Python distributions

  > When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / 11 days ago

• 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 / 3 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 / 3 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 / 4 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 / 7 months ago