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Data collection apps are now more important for mining industries in Canada, than ever. Substantial grants are now given to mines that operate in a transparent and modern way with their mobile data gathering and sharing. The Canadian GDP depends on the mineral and metal exploitation sector. By partnering with nSpek, all heavy industries that build and create their forms on premise are now capable of using an open source API that stores the information in a SQL based server. It becomes easy to analyze with Power BI or other business intelligence data collection partners like datacollectionforms.com.
An inspection app inspection app is a data collection software on a mobile device which allows to fill digital forms information. An inspection app helps field workers get data as well as plan their inspection tasks.
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Based on our record, NumPy seems to be a lot more popular than nSpek. While we know about 107 links to NumPy, we've tracked only 1 mention of nSpek. 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 dont know bluebeam, you mean :https://www.bluebeam.com/ ? I only know https://nspek.com/en/. Source: almost 2 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
FastField - Mobile forms solution
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ProntoForms - ProntoForms is a mobile business solutions application, converting paper forms onto any tablet or mobile device.
OpenCV - OpenCV is the world's biggest computer vision library
GoCanvas - GoCanvas is a service that helps you replace paper forms and processes with efficient mobile business apps and forms to save money and time on data collection.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.