NumPy might be a bit more popular than FileCoin. We know about 107 links to it since March 2021 and only 75 links to FileCoin. 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.
For example, decentralized data storage projects like Filecoin, Arweave, and Sia posted 50-100% user growth, providing blockchain-powered alternatives to AWS, Google Cloud, and Dropbox for distributed app data security. - Source: dev.to / 4 months ago
Filecoin, which is based on IPFS, creates a market for unused storage. I think that idea is great but for adoption it needs to be as simple as Dropbox to store files. But visit [filecoin.io](https://filecoin.io/) and the dropbox-like app that you could be willing to try is nowhere to be found. So maybe it is an enterprise solution? That isn't spelled out either. So I am not surprised that this has little trackion... - Source: Hacker News / 4 months ago
Familiar DePIN initiatives include Helium, a Decentralized Wireless Network from 2019, Filecoin or Arweave for Cloud Storage. Source: 6 months ago
Filecoin is a data storage network backed by an application token. - Source: dev.to / 10 months ago
Filecoin - A decentralized storage network where miners earn Filecoin by providing storage to clients. Source: 11 months 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
IPFS - IPFS is the permanent web. A new peer-to-peer hypermedia protocol.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Sia - Sia - Decentralized data storage
OpenCV - OpenCV is the world's biggest computer vision library
Storj.io - Storj DCS is a decentralized, encrypted and fast Amazon S3-compatible object storage.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.