Based on our record, Pandas should be more popular than Cal.com. It has been mentiond 201 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.
Cal.com is an open-source event-juggling scheduler for everyone, and is free for individuals. - Source: dev.to / 4 months ago
I force clients who want to talk to me to book a call. I use cal.com (free) and my Google Calendar (which its linked to) only allows calls on specific days/times. I have a few "Call Blocks" where they can book. That let's me do calls in a small section of my week, with ample downtime to recover the rest of the week. I'm still learning how many calls a day I can handle. Currently anything more than 2 is too much. Source: 7 months ago
Cal.com- Cal.com is a scheduling tool that helps you schedule meetings without the back-and-forth emails. - Source: dev.to / 7 months ago
Has any one deployed cal.com with selfhosted environment. Is yes how would have configured prisma for the same. Source: 9 months ago
Recently I came across a company called cal.com, it's a Calendly alternative, but the catch is the entire software is open source: https://github.com/calcom/cal.com. Source: 9 months ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 20 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 26 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
TidyCal - Optimize your schedule with custom booking pages and calendar integrations
NumPy - NumPy is the fundamental package for scientific computing with 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
SavvyCal - A scheduling tool both the sender and the recipient will love.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.