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Based on our record, Python seems to be a lot more popular than Snap.svg. While we know about 280 links to Python, we've tracked only 9 mentions of Snap.svg. 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.
It allows users to create tasks, change their schedule and duration with drag-and-drop, add dependency lines, and review extra information on tasks via tooltips. You can add multiple timescales to the chart. The list of possible options includes Quarter Day, Half Day, Full Day, Week, and Month. There are also some customization opportunities such as changing the tooltip content with custom HTML, modifying the... - Source: dev.to / over 1 year ago
Inspecting the buttons suggests that it's made with SVG animations too. It says "made with snap" http://snapsvg.io/. Source: over 1 year ago
Or you can use directly Snap.svg (Free). That's what Snap SVG Animator is creating on export, Snap.svg code. But it's little more work than just using animation tool and exporting. Source: over 1 year ago
Why’d you steal Snap.svg’s logo though? That’s an immediate and major red flag to me. http://snapsvg.io/. Source: over 1 year ago
Animated SVG http://snapsvg.io is best. Tiny file size, good performance. Resolution independent. Source: almost 2 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 / 3 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
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