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Based on our record, NumPy should be more popular than Hero Health. It has been mentiond 107 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.
Hero - A dose of calm for the whole family (herohealth.com). Source: 11 months ago
Https://herohealth.com/ is the device I use. There are a couple of competitors I also looked into, but this one held most meds and had the best app, in my opinion. Source: 11 months ago
Keep a close eye on her eating habits and food safety though because if she has dementia that will become an issue. Also if she's on any medication now, she will have trouble dosing it correctly. We used this for a while: https://herohealth.com/ but a normal pill dispenser filled up by you every week could also work. Source: about 1 year ago
I also suggest the Hero medicine dispenser. It’s a robot(ish) that holds up to 10 medications. You set the dispensing schedule on your phone. It makes a bunch of noise and sends a message to the person’s phone (maybe calls) to remind them to take their medication. You also can see how many pills they have remaining. The best part is that I know when my grandmother hasn’t taken her medicine. It messages me and I... Source: about 1 year ago
Mom was overdosing dad and he ended up with hyponatremia (low sodium in the blood) that nearly killed him. Based on someone's suggestion here, we got a Hero pill dispenser. All the meds are locked inside—you can control the schedule and adjust meds via an app, even receive alerts if a dose was missed, etc. I still had to write out instructions for mom (press the button) and I still get calls from her saying the... Source: over 1 year 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
Avro Lifescience - Skin patches for generic drug delivery
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Modern Fertility - At-home fertility tests – no clinic required
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Popit - Never miss your pill again
OpenCV - OpenCV is the world's biggest computer vision library