Based on our record, Python seems to be a lot more popular than Funnel.io. While we know about 283 links to Python, we've tracked only 10 mentions of Funnel.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.
Automate the Boring Stuff with Python: https://automatetheboringstuff.com Learn Python 3 Course https://www.codecademy.com/courses/learn-python-3 Official Python Documentation: https://python.org. - Source: dev.to / 7 days ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 26 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 2 months ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 5 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 6 months ago
There are like a 100 services that will do that for you. Something like this. Source: over 1 year ago
Any digital marketers have experience working with single connectors for Google Data Studio? I really like the idea of plugging all the data sources into the ETL platform and having one connector for GDS. It appears funnel.io does this but it's far too expensive for us. Windsor.ai also looks ok but their pricing structure isn't ideal. Played around with Adverity as well but looking for something that's more plug... Source: almost 2 years ago
From experience writing & maintaining custom ETLs in BigQuery, to paying/trying multiple data pipeline partners, to a sort-of middle ground like AirByte - this is not a plug - funnel.io has been the easiest and most cost effective by far. Source: over 2 years ago
You have to be careful with fb figures. Its well known in the industry that they arent accurate. With regards to funnel.io, if they are picking figures from FB then its also suspect. Source: over 2 years ago
The other platform (funnel.io) may use a different attribution window and/or it might not track across different devices (not sure here, never used funnel.io before). Source: over 2 years ago
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