Based on our record, NumPy seems to be a lot more popular than Brain Workshop. While we know about 111 links to NumPy, we've tracked only 9 mentions of Brain Workshop. 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.
Have you tried gluten free ginkgo biloba bee pollen salt lamps? Sorry, I had to. But here's an actual real suggestion that may or may not be any better. It's a working memory trainer that I feel has slightly helped improve my own working memory called Brain Workshop. Obviously proper diagnosis and medical treatment would be preferred. https://brainworkshop.sourceforge.net/. - Source: Hacker News / 11 months ago
There is a good desktop trainer (/game) here: https://brainworkshop.sourceforge.net/ In short, my understanding is that we can't improve it, but that could be very much due to the lack of actual dedicated research. If we could, it would essentially be a super power. - Source: Hacker News / 11 months ago
Found Brain Work here: https://brainworkshop.sourceforge.net/ and also a browser-based versions of Dual-N-Back here: https://www.brainturk.com/dual-n-back https://brainworkshop.sourceforge.net/. - Source: Hacker News / over 1 year ago
In addition to what other people are saying re: comedians and practicing, I've also found regularly doing a few rounds of Dual N-Back (or anything else that has me juggle multiple memories while working with logic, like leetcode or logic puzzles) almost magically bumps me up a tier on the banter-o-meter too. Source: almost 2 years ago
Found it on Google and just ran with it. I don't know of any mobile apps, but came across this cool, open-source project for PC that might be of interest http://brainworkshop.sourceforge.net/. Source: over 2 years ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / about 10 hours ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 8 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Lumosity - Discover what your mind can do. Improve memory, increase focus, and find calm - with the #1 brain training app. Get started now.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Elevate - Elevate is an award-winning brain training tool designed to build communication and analytical skills.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Peak - Peak is the automated way to keep track of what everyone is working on.
OpenCV - OpenCV is the world's biggest computer vision library