ZeroMQ
RabbitMQ
Apache Kafka
Apache ActiveMQ
Amazon MQ
Amazon SQS
IBM MQ
NSQ
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
ZeroMQ PandasBased on our record, Pandas should be more popular than ZeroMQ. It has been mentiond 199 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.
In this post from 2011, the creator of Omegle, Leif Brooks, explains what technology is used, including Python and a library called gevent for the backend. On top of that, Adobe Cirrus is used for streaming video. Though this post was 12 years ago, it is valuable to know what a web application like Omegle requires. A modern library that may provide some functionality for a text chat at a minimum may be... Source: 6 months ago
They might be thinking of something like ZeroMQ, which is pretty well liked: https://zeromq.org/ That said, I wouldn't call RabbitMQ that heavyweight myself, at least when compared to something like Apache Kafka. - Source: Hacker News / 7 months ago
If you want to learn message passing in an environment you're familiar with, you should check out ZeroMQ. It's a C++ lib for socket abstraction, it's immensely useful in distributed systems, it can also do in-process message passing, and it's got bindings/ports for C and Rust. Source: 12 months ago
Inspired by the IDE language server protocol, I created an API interface between the electron and the Python ML interface. ZeroMQ turned out be an invaluable resource as a fast and lightweight messaging queue between the two. - Source: dev.to / about 1 year ago
If you really need it live, like for a chat or auctions you can use https://zeromq.org/ over websockets. Source: over 1 year 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 / 13 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 1 month 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 / 24 days 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 / 5 months ago
RabbitMQ - RabbitMQ is an open source message broker software.
NumPy - NumPy is the fundamental package for scientific computing with Python
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
OpenCV - OpenCV is the world's biggest computer vision library