CloudAMQP
RabbitMQ
Apache Kafka
ZeroMQ
Amazon MQ
Amazon SQS
Apache ActiveMQ
Apache Qpid
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
CloudAMQP| Categories |
|
|---|---|
| Website | cloudamqp.com |
| Pricing URL | Official CloudAMQP Pricing |
| Details $ | - |
No CloudAMQP videos yet. You could help us improve this page by suggesting one.
Based on our record, NumPy seems to be a lot more popular than CloudAMQP. While we know about 107 links to NumPy, we've tracked only 2 mentions of CloudAMQP. 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.
RabbitMQ dude! Spin up a free instance on cloudamqp.com (not affiliated, but I use them in prod - free instances already are enough for many use cases), throw a bunch of consumers in the queue, push as many jobs as you want and you'll have an awesome indestructible working process. Source: about 2 years ago
We can prefer to install RabbitMQ on our local machine but in that case, the installation steps would be different from the operating system to the operating system and we would need to mess with some network settings. Therefore, we make this step with http://cloudamqp.com. To do that let's create https://cloudamqp.com. Later on, click on the button Create New Instance and create a new message broker instance. We... - Source: dev.to / almost 3 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 1 month ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 1 month ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 4 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 6 months ago
RabbitMQ - RabbitMQ is an open source message broker software.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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.
ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.
OpenCV - OpenCV is the world's biggest computer vision library
