Hetzner Object Storage
Wasabi Cloud Object Storage
Contabo Object Storage
IONOS Object Storage
Alibaba Object Storage Service
Storj Object Storage
Backblaze B2 Cloud Storage
IBM Cloud Object Storage
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Object Storage is the S3-compatible storage solution that grows with any data requirements – secure, flexible and accessible via API. Object Storage offers the ideal solution for managing data-intensive workloads e.g. for backups, multimedia or big data. In contrast to conventional storage solutions, data is organized as objects consisting of the data itself, the metadata and a unique ID. This structure makes it easy to manage the data, search through it and organize it, and is particularly suitable for large, unstructured amounts of data. As a data center operator and hosting provider headquartered in Germany, data protection is a top priority at Hetzner. Thanks to strict compliance with the General Data Protection Regulation (GDPR), customers benefit from the highest security standards and best practices.
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Based on our record, Pandas seems to be more popular. 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 / 19 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
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
NumPy - NumPy is the fundamental package for scientific computing with Python
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.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
IONOS Object Storage - IONOS Object Storage is a convenient, affordable and compliant way to store any amount of static company data. Pay only for what you use.
OpenCV - OpenCV is the world's biggest computer vision library
