Elevate
Lumosity
ViralContentBee
Peak
RecurPost
Brain Workshop
Brainturk
Later
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
ElevateIt makes me smarter in different ways. It boost's my vocabulary, makes me better in math, and helps me with my memory.
Based on our record, NumPy seems to be a lot more popular than Elevate. While we know about 107 links to NumPy, we've tracked only 3 mentions of Elevate. 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.
/u/Guffikiss_ and /u/cygnusxone_ are correct, it's a brain training app called Elevate. For me I've made it part of my morning routine, and it help me sort of kickstart my brain, reducing the number of days I'm getting absolutely nothing done as a thanks to executive disfunction. It has a 7-day free trial if you want to try it out. Source: about 1 year ago
Sorry for rambling, a suggestion I have is maybe try some phone games that are g seed towards cognitive training? My two favorite games for this aren’t marketed as that, but that’s what they are. I play Flow Free (the one where you connect different colored dots on a grid) and I Love Hue (you have images of color gradients that are split into pieces and you have to put them together like a puzzle). Another one I... Source: over 1 year ago
I highly recommend you look at Duolingo and Elevate. These are 2 companies that have done an amazing job at getting people to build daily habits. Source: about 3 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 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 / 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 / 7 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
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.
ViralContentBee - Viral Content Bee is a web-based platform that utilizes a crowd-sourcing model to facilitate the generation of “social buzz” on content.
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
