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Cloud tools for web scraping and data extraction
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Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.

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1

DevOps Basics

Practical and document place for DevOps toolchain

You are new to DevOps or want to learn some DevOps tools, or you are already a DevOps engineer, and you are looking for DevOps documents and a place to practice DevOps tools? This repository will assist you in enhancing your DevOps skills and serve as a bookmark for documents related to DevOps.

Downloads: 5 This Week

Last Update: 2025-08-26
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2

aws-devops-zero-to-hero

AWS zero to hero repo for devops engineers to learn AWS in 30 Days

aws-devops-zero-to-hero is a 30-day AWS learning roadmap aimed squarely at DevOps engineers who want both conceptual understanding and hands-on projects. The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services.

Downloads: 0 This Week

Last Update: 2025-11-19
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3

How They DevOps

A curated collection of publicly available resources

How They DevOps is a collection of public writeups, posts, and references that show how well-known companies actually implement DevOps practices in the real world. Instead of describing DevOps in the abstract, it points to concrete CI/CD setups, infrastructure choices, incident processes, and tooling stacks used by tech organizations. This gives learners and teams a reality check: DevOps at scale is opinionated, messy, and adapted to business constraints. ...

Downloads: 0 This Week

Last Update: 2025-10-31
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4

Functional, Data Science Intro To Python

[tutorial]A functional, Data Science focused introduction to Python

The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.

Downloads: 0 This Week

Last Update: 2023-12-21
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Inventors: Validate Your Idea, Protect It and Gain Market Advantages
SenseIP is ideal for individual inventors, startups, and businesses

senseIP is an AI innovation platform for inventors, automating any aspect of IP from the moment you have an idea. You can have it researched for uniqueness and protected; quickly and effortlessly, without expensive attorneys. Built for business success while securing your competitive edge.

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