Perch helps small businesses keep track of social activity for their own business and competitors. In just minutes a day, busy small business owners and managers stay updated on news, reviews and promotions. Perch is an innovative app that lets small businesses listen to the marketplace simply by checking their phone.
Perch shows posts from Facebook and Twitter, reviews from Yelp and Google+, photos from Instagram, and promotions from Yelp, Foursquare and the major deal sites. Users select the businesses they want to watch, and Perch does the rest.
Perch is available on iOS and Android. The app is free and requires 13MB storage.
Based on our record, NumPy seems to be a lot more popular than Perch. While we know about 107 links to NumPy, we've tracked only 4 mentions of Perch. 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.
If it's being hosted on a server with PHP, check out Perch. https://grabaperch.com/. Source: about 1 year ago
I've also heard good things about ModX and I used to use Perch (but that requires a license per site). Source: about 2 years ago
Https://grabaperch.com might be worth a look. Source: over 2 years ago
I remember seeing someone selling a PHP CMS, and I thought it was interesting since I thought the market was saturated, and everyone was using WordPress for free. But a combination of technical ability and marketing seems to have paid off for the owner. There are likely to be millions of other examples. 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
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