Unbounce Reviews

Python Reviews

Unbounce mentions (15)

• Awesome-no-code-tools

  Unbounce - Landing Pages - More Powerful Customization. - Source: dev.to / almost 2 years ago

• 400+ Websites That I Use as a Web Designer/Freelancer - All Compiled and Categorized in One Place

  Unbounce - Haven't used it myself but heard good things about it. It's good for building landing pages that you are going to delete or change very often. Source: almost 3 years ago

• What is your go to service for creating a quick landing page for an idea?

  Unbounce. It's been a few years since I used it, but pretty simple drag/drop landing page builder that allows you to easily create tons of variants for testing. Source: about 3 years ago

• Create Better Content with These AI Tools

  Unbounce is an AI-powered landing page builder with intelligent features that let you create beautiful, high-performing marketing campaigns in just a few minutes. - Source: dev.to / over 3 years ago

• Mark is telling fibs here

  It's something called Unbounce, and yes it is a prepackaged website builder. From another comment, though, it appears that the story happened about 10 years ago. Source: over 3 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 / about 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 / about 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