Sass Reviews

Apache Airflow Reviews

Sass mentions (133)

• 10+ UI Libraries for Svelte to Try in 2024

  Attractions is a UI kit for Svelte that includes 49 components and a collection of helper functions. It uses Sass for styling. Although the Attractions kit seems promising and the components look really nice, it's not very actively supported right now and its future is uncertain. - Source: dev.to / about 2 months ago

• How I Achieved Maintanability, and Scalability in My Projects

  We took our time evaluating different options and ultimately landed on a focused set of technologies: Next.js, TypeScript, Redux Toolkit, SASS, and Axios. This combination offers a powerful and manageable foundation for our project, avoiding the pitfalls of an overly complex tech stack. - Source: dev.to / about 1 month ago

• Future of CSS: Functions and Mixins

  Traditionally CSS lacked features such as variables, nesting, mixins, and functions. This was frustrating for Developers as it often led to CSS quickly becoming complex and cumbersome. In an attempt to make code easier and less repetitive CSS pre-processors were born. You would write CSS in the format the pre-processor understood and, at build time, you'd have some nice CSS. The most common pre-processors these... - Source: dev.to / 4 months ago

• Top 20 Frontend Interview Questions With Answers

  CSS stands for Cascading Style Sheets, and is a scripting language used to style web pages. SCSS stands for Syntactically Awesome Style Sheet, and is a superset of CSS. You can think of SCSS as the more advanced version of CSS, which comes with several features that CSS does not support, such as the SCSS nested syntax, as shown below. - Source: dev.to / 4 months ago

• Modern CSS for 2024: Nesting, Layers, and Container Queries

  In the past, you’d need to rely on pre-processors such as SaSS or Less, but not anymore… Native CSS nesting has landed on all major modern browsers. - Source: dev.to / 6 months ago

Apache Airflow mentions (67)

• 10 Open Source Tools for Building MLOps Pipelines

  An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 4 days ago

• AI Strategy Guide: How to Scale AI Across Your Business

  Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 30 days ago

• The 2024 Web Hosting Report

  For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago

• Best ETL Tools And Why To Choose

  Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago

• Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow

  Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago