Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Wasabi Cloud Object Storage
Amazon S3
Contabo Object Storage
Hetzner Object Storage
Alibaba Object Storage Service
Storj Object Storage
IONOS Object Storage
IBM Cloud Object Storage
Wasabi Hot Cloud Storage is a scalable, cloud-based object storage service for various applications. It allows storing any type of data in any format, offering high-performance, reliability, and security at a minimal cost. Ideal for individuals and organizations seeking affordable, dependable data storage, Wasabi provides a highly durable and fault-tolerant infrastructure, ensuring data is always accessible and protected. With features like immutable buckets, versioning, and encryption, Wasabi ensures data integrity and security, making it a trusted choice for businesses and individuals alike.
Pandas Wasabi Cloud Object StorageBased on our record, Pandas should be more popular than Wasabi Cloud Object Storage. It has been mentiond 219 times since March 2021. 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 / 18 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 / 3 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
There was an internal decision to use Wasabi Cloud Storage instead of Amazon S3 and I needed to use ColdFusion to generate a pre-signed URL to allow access to AI-generated content for a limited time. I had used the Sv4Util.cfc and aws-cfml libraries before with Amazon and thought it was just as simple, but I got confused somewhere along the way and it just wasn't working. - Source: dev.to / about 2 months ago
This table is missing Wasabi [0], which has free egress. [0]: https://wasabi.com. - Source: Hacker News / over 1 year ago
Backblaze is great because it's a set price, unlimited, and I don't have to think twice about it. I use Arq to backup my machine + external drives (several drives with lots of photos) to my local NAS. Was sending data to Wasabi, but the costs got out of control. I can purchase a year's worth of Backblaze + the 1 year revision upgrade for much, much less of what I was paying at Wasabi. Source: almost 2 years ago
What about looking at Wasabi? It’s $5.99 per TB per month https://wasabi.com. - Source: Hacker News / almost 2 years ago
No, use AWS S3 or https://wasabi.com/ if you are worried about cost. Source: almost 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Contabo Object Storage - S3-compatible cloud object storage with unlimited, free transfer at a fraction of what others charge. Easy migration & predictable billing. Sign up now & save.
OpenCV - OpenCV is the world's biggest computer vision library
Hetzner Object Storage - Scalable object storage, S3-compatible and ideal for growing data volumes. Secure and flexible for efficient data storage.
