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If everyone agrees that scheduling links help save time, then why are they so universally unloved? Today most booking pages present nothing more than a name and a calendar, so as the person receiving the link, the process of booking a time can feel cold and transactional.
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Based on our record, NumPy seems to be a lot more popular than zcal. While we know about 112 links to NumPy, we've tracked only 6 mentions of zcal. 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.
>ended up just switching over to https://zcal.co and it has been great so far Wait wait wait. It can sync my Google and Outlook calendars into a single scheduling service, and they're not charging me anything? What's the catch here? - Source: Hacker News / over 1 year ago
I've poked around a while ago at some Calendly alternatives (specifically was looking for something that was cheaper than Calendly with most of the basic features). I tried using cal.com for a bit but ended up just switching over to https://zcal.co. All these scheduling apps end up trying to do too much and always seem to end up a bit clunky. - Source: Hacker News / over 1 year ago
There's an even a freer alternative, not FOSS though. http://zcal.co It also allows connection to multiple calendars. - Source: Hacker News / over 1 year ago
Check out zcal.co. Reclaim.ai also works for this as well! Source: over 1 year ago
I usually just use https://zcal.co/ when I need to work out a time slot with some players. Source: almost 2 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 23 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 24 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 29 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / about 1 month ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.
OpenCV - OpenCV is the world's biggest computer vision library
Cron - Cron Calendar.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.