Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Hyperledger
Ethereum
IBM MQ
BlockCypher
Kaleido Blockchain Business Cloud
Microsoft Azure
Stacks.co
BigchainDB
Pandas HyperledgerBased on our record, Pandas seems to be a lot more popular than Hyperledger. While we know about 219 links to Pandas, we've tracked only 2 mentions of Hyperledger. 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / 26 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 2 months 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
In my day job[0], I talk to a lot of start-up ventures about blockchain. Only one was honest enough to say they were only using it because, at the time, it was easier to get funding. [0]: https://hyperledger.org/. - Source: Hacker News / over 3 years ago
Ethereum is not just currency at its core, its a smart contract platform which is used to implement distributed consensus, where each participating party sign the result, with their consensus algorithm. Currency is a side effect. You can just remove the entire ETH/gas dependency on the base, to use the platform as a distributed ledger between all the participants. And use another kind of consensus algo(proof of... Source: almost 4 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
OpenCV - OpenCV is the world's biggest computer vision library
BlockCypher - AWS for Block Chains