Based on our record, NumPy seems to be a lot more popular than KNIME. While we know about 107 links to NumPy, we've tracked only 2 mentions of KNIME. 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 NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months 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 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 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 / 7 months ago
I'd recommend to look into the free and open source KNIME tool (knime.com). It may not look easy to use right away, but if you stick with it for a little while and attend its learning guides, KNIME will grow on you. You can even have it scheduled using Microsoft Task Scheduler or CRON for free. For me, it has augmented the capabilities of Power BI, Looker Studio, Cognos, Excel, and other proprietary tools. Its... Source: 10 months ago
That would cause a problem because ultimately this query will be scheduled to run multiple times a day on a KNIME server. Source: about 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
datarobot - Become an AI-Driven Enterprise with Automated Machine Learning
OpenCV - OpenCV is the world's biggest computer vision library
Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.