Ethereum
Bitcoin
Litecoin
Monero
Ripple (XRP)
NEO (NEO)
EOS
Qtum (QTUM)
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Ethereum PandasPandas might be a bit more popular than Ethereum. We know about 219 links to it since March 2021 and only 161 links to Ethereum. 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.
This post takes a deep dive into the evolving realm of blockchain scalability. It explores both layer-one and layer-two solutions, next-generation innovations, as well as emerging techniques that enhance transaction speed and efficiency. We cover topics ranging from sharding and consensus algorithm improvements to state channels and rollups. In addition, this post provides background context, practical... - Source: dev.to / 21 days ago
Blockchain is essentially a decentralized digital ledger which records transactions on multiple computers so that the record cannot be altered retroactively. Originally popularized by cryptocurrencies like Bitcoin and Ethereum, blockchain has evolved into a technology that ensures data integrity, transparency, and enhanced security. For those new to this topic, a deep dive on the basics can be found at what is... - Source: dev.to / 24 days ago
As the DeFi and NFT ecosystems expand, so does the adoption of Layer 2 solutions. The Arbitrum sequencer is expected to see broader adoption, with more dApps migrating to its scalable network. Works like those by Ethereum illustrate the growing enthusiasm for such technologies. - Source: dev.to / 25 days ago
This post explores how Decentraland—a decentralized virtual world built on the Ethereum blockchain—is revolutionizing cybersecurity training through immersive cyberwar simulations. We discuss the background and context of blockchain-powered virtual environments, detail the core simulation concepts like offensive "red teams" and defensive "blue teams," provide real-world applications and use cases, examine... - Source: dev.to / about 2 months ago
The NFT arena has exploded in popularity since its debut, providing a platform for artists and innovators to offer tangible proof of digital authenticity. NFTs allow the uniqueness of each digital asset to be verified on a blockchain, making them highly sought after by collectors and enthusiasts alike. The recent entry of Trump-themed NFTs into this space marks another milestone as it taps into a politically... - Source: dev.to / 3 months ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 22 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 1 month ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
NumPy - NumPy is the fundamental package for scientific computing with Python
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Monero - Monero is a secure, private, untraceable currency. It is open-source and freely available to all.
OpenCV - OpenCV is the world's biggest computer vision library
