Based on our record, Pandas seems to be a lot more popular than Rumprun. While we know about 199 links to Pandas, we've tracked only 4 mentions of Rumprun. 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'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 / 30 days 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 / about 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 / about 1 month ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 6 months ago
Wow, just now seeing this topic. I work for a cloud company hosted in AWS. We started out, Netflix/Spotify style microservices. We were all on ec2 images generate by packer (and later with AWS Image Factory). When Docker hit, we kicked the tires but never did anything with it beyond using it for running unit tests, and later, infrastructure tests. 5 years ago, during a hackathon, our little group began... Source: over 1 year ago
> Why not? Most people won't spend the time to learn OS/distro building. I don’t know how good they are and have never used any, but there’s tooling for building the ultimate stripped down kernel, unikernels (https://en.wikipedia.org/wiki/Unikernel) A quick Google gives me https://nanovms.com/, https://github.com/solo-io/unik and https://github.com/rumpkernel/rumprun. - Source: Hacker News / over 2 years ago
Great entrant in the space that is actually usable: https://www.unikraft.org Promising project that's inactive but was one of the first ones I found with reasonable ergonomics and no lock-in to a specific language that I didn't use: https://github.com/rumpkernel/rumprun Unfortunately it looks to be unmaintained as of now, but I expect the examples still work etc (https://github.com/rumpkernel/rumprun/issues/135). - Source: Hacker News / over 2 years ago
Then there is the rumprun unikernel (that runs on qemu and baremetal x86), the sources of which you can find here https://github.com/rumpkernel/rumprun (and some more projects in the github org: https://github.com/rumpkernel). These projects have not been actively maintained for many years. Source: almost 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
unittest - Testing Frameworks
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
OSv - OSv is an open source project to build the best OS for cloud workloads
OpenCV - OpenCV is the world's biggest computer vision library
Criterion - A dead-simple, yet extensible, C test framework.