Ethereum
Litecoin
Bitcoin
Monero
Ripple (XRP)
NEO (NEO)
EOS
Hyperledger
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
EthereumEthereum might be a bit more popular than NumPy. We know about 148 links to it since March 2021 and only 107 links to NumPy. 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.
After my first open-source contribution, I looked for other projects where I could contribute. One of those projects was Ethereum, which is a blockchain network that enables Decentralized Finance, tokenization of assets, and an open internet. While reading through their contributing guidelines, I found an issue in their documentation and ended up fixing it, making my second open-source contribution. - Source: dev.to / 6 months ago
Keep up to date with Bitcoin on Bitcoin.org Keep up to date with Ethereum news on Ethereum.org. Source: 7 months ago
Ethereum - The second biggest cryptocurrency platform after Bitcoin, with its own blockchain and smart contract functionality through Solidity. - Source: dev.to / 9 months ago
Coinbase makes use of the Extended Message Transfer Protocol (XMTP) communication protocol to allow messaging between Ethereum addresses. Source: 10 months ago
Elsewhere, The Sandbox is a blockchain-based virtual world built on Ethereum where players can build, own and monetise their gaming experiences. The platform utilises a ‘play-to-earn’ model to incentivise players for time spent in the metaverse, and is building an open metaverse to enable greater collaboration with creators and brands alike. 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 / 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 / 3 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
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
OpenCV - OpenCV is the world's biggest computer vision library
Monero - Monero is a secure, private, untraceable currency. It is open-source and freely available to all.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
