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Based on our record, Python seems to be a lot more popular than PDF Tables. While we know about 280 links to Python, we've tracked only 5 mentions of PDF Tables. 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.
Although there is the tabula-rosa package for extracting tables from PDFs, I found it easier to use online PDF to Excel utilities, in this case I used https://pdftables.com/ to convert the PDF files to Excel. Source: 8 months ago
AI-based cloud services: utilize machine learning to extract structured data from PDFs. Examples include pdftables and docparser, but these are not open-source friendly. - Source: dev.to / about 1 year ago
I believe such an API already exists: https://pdftables.com/ (no affiliation). Went to a presentation at a Golang meetup in Amsterdam by the guys behind this company. Seemed to know their stuff. But I have no real world experience using it. - Source: Hacker News / over 2 years ago
I tried pdftables.com and like it as a solution; other solutions I should investigate? Source: over 2 years ago
I remember using this tool a while back: https://pdftables.com/ - it costs money for the scale of conversion you're talking about. Source: almost 3 years 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 / 2 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 / 4 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 4 months ago
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 4 months ago
When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago
Apple Numbers - Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.
Rust - A safe, concurrent, practical language
Zoho Sheet - Create and share interactive spreadsheets on the web.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Apache OpenOffice Calc - Calc, part of the https://alternativeto.
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