Based on our record, NumPy seems to be a lot more popular than Pzizz. While we know about 107 links to NumPy, we've tracked only 6 mentions of Pzizz. 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.
I use the application Pzizz, https://pzizz.com. Source: 12 months ago
PPL Student, day job in infosec. Years ago when I was still in a junior role, I had swing shifts in the security operations center. My trick was 20min nap when I could pull it off. (Good teammates made this possible during my shift often.) And training myself to quickly fall asleep. The thing that worked for me was this hardware widget called Pzizz. (Dating myself, the hardware came out before the iPhone existed.)... Source: over 1 year ago
When I most recently had sleep issues I used https://pzizz.com/ along with special headphones designed for sleeping. Source: over 1 year ago
Https://pzizz.com/ - Phone app that plays dynamic music and narration to help you get to sleep, has a free version. Personally I found this worked well. Went through a period of having trouble getting to sleep and then waking up in the middle of the night feeling very stressed. This helped me get to sleep and helped me get back to sleep. Source: almost 2 years ago
Get an ad-free version of the show, plus a monthly extended episode.You Ruined Everything, by Jonathan CoultonTake a Break!PzizzGet the world's most advanced sleep and power nap system to fall asleep fast, stay asleep, and wake up feeling refreshed. 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 / 3 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 / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 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 / 8 months ago
Running by Gyroscope - Collect and share your favorite runs — with maps, photos, calories, and other stats.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Sleep Watch - AI-powered, personalized insights about your sleep.
OpenCV - OpenCV is the world's biggest computer vision library
Headspace - Meditation made simple. Brilliant things happen in calm minds.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.