Amazon AWS Reviews

1. macloughlin

   · AV engineer · almost 2 years ago
   The best cloud platform out there

   You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

   👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility

   👎 Cons:    Learning curve|A lot of dashboards for different things

PyPOTS Reviews

Amazon AWS mentions (444)

• Step-by-Step Guide to Set Up a Cron Job to Run a Report

  Create an AWS Account: If you don’t already have one, sign up at aws.amazon.com. The free tier provides 750 hours per month of a t2.micro or t3.micro instance for 12 months. - Source: dev.to / 4 days ago

• How to Host an Express App on AWS EC2 with NGINX (Free Tier Guide)

  Sign in to your AWS account. If you’re new to AWS, you can sign up for the free tier to get started without any upfront cost. - Source: dev.to / 29 days ago

• Understanding AWS Regions and Availability Zones: A Guide for Beginners

  Amazon Web Services (AWS) has completely changed the game for how we build and manage infrastructure. Gone are the days when spinning up a new service meant begging your sys team for hardware, waiting weeks, and spending hours in a cold data center plugging in cables. Now? A few clicks (or API calls), and yes — you've got an entire data center at your fingertips. - Source: dev.to / 23 days ago

• AWS S3 Storage Classes Explained: Choosing the Right One

  Choosing the right AWS S3 storage class depends on how frequently you access your data and your cost constraints. - Source: dev.to / about 2 months ago

• Deploy a Django Rest Api on AWS EC2 using Docker, NGINX, Gunicorn and GitHub Action.

  Let’s start by setting up an EC2 instance to deploy our application. To do this, and you’ll need to open an AWS account (if you don’t already have one). - Source: dev.to / 3 months ago

PyPOTS mentions (3)

• [R] SAITS: Self-Attention-based Imputation for Time Series. Expert Systems with Applications, 219:119619, 2023.

  Absolutely my pleasure! Please pay a visit to the toolbox PyPOTS https://pypots.com if you're interested in modelling partially-observed time series (POTS). It deserves your attention ;-). Source: almost 2 years ago

• Missing values in time series collected from the real world are common to see and very pesky. A new state-of-the-art and fast neural network called SAITS is proposed to impute missing data in partially-observed multivariate time series. The code is open source on GitHub.

  If your research lies in time-series modeling, you may also be interested in the work PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series https://pypots.com/. Its full paper is available on arXiv as well https://arxiv.org/abs/2305.18811, which has been peer-reviewed and accepted by the 9th SIGKDD international workshop Mining and Learning from Time Series (MiLeTS'23). Source: almost 2 years ago

• We built PyPOTS: an open-source toolbox for data mining on partially-observed time series

  Due to all kinds of reasons like failure of collection sensors, communication error, and unexpected malfunction, missing values are common to see in time series from the real-world environment. This makes partially-observed time series (POTS) a pervasive problem in open-world modelling and prevents advanced data analysis. Although this problem is important, the area of data mining on POTS still lacks a dedicated... Source: almost 2 years ago