Pinecrow is designed to make life easier for Market Researchers through our two flagship solutions:
1) Survey insights: Pinecrow connects with all major survey execution platforms like Qualtrics, FocusVision Decipher and SurveyMonkey to automatically transform your survey response data to a centralized analytical database. Anyone within your organization can use a simple search, just like a Google search engine to find the right data and insights even from surveys that were done several years ago and long forgotten. Researchers can now spend less time in finding and processing data and more time in generating insights. Pinecrow also comes with automatic visualizations, nested crosstabs and guided statistical analysis and supports both quantitative and qualitative data. You can dive deeper on what matters most from each research project, as well as connect the dots across multiple surveys to reveal hidden connections with new insights to inspire action.
2) Survey management: Pinecrow is the only project management solution for Market Research available in the market that helps streamline your processes and projects. You can leverage our curated templates and build your entire survey workflow with just a few clicks. We have all the tools necessary to plan, organize, track and scale your survey workflows and all other market research activities within the same platform. It has never been so easy to manage dependent, overlapping, and unscheduled tasks.
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Based on our record, Python seems to be more popular. It has been mentiond 283 times since March 2021. 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 / 2 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 / 22 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
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