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Achievements

Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO
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@zero-to-mastery @EddieHubCommunity @codinasion @AccessibleForAll @CommunityMarketplace
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victoriacheng15/README.md

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Hi 👋 My name is Victoria

  • Pronouns: she/her
  • I'm based in Calgary, Canada
  • Drinks: ☕ coffee and 🍵 tea
  • Coding Environment: dark mode
  • Languages: Chinese, English and American Sign Language

💼 Tech Stacks

Frontend:

React TypeScript Vue JavaScript TailwindCSS Next.js Redux Jest SASS Testing Library Cypress GitHub Actions HTML CSS

Backend:

Node.js Express Python Flask MongoDB Docker

Tools:

VS Code Git Vercel Netlify Railway Eslint Prettier Biome Vite

👇 My Latest Blog Posts

See blogs!

🎬 My Latest Activity

See activities!
  1. ⬆️ Pushed 1 commit(s) to victoriacheng15/victoriacheng15.vercel.app
  2. 🎉 Merged PR #574 in victoriacheng15/victoriacheng15.vercel.app
  3. ⬆️ Pushed 1 commit(s) to victoriacheng15/victoriacheng15.vercel.app
  4. 🎉 Merged PR #573 in victoriacheng15/victoriacheng15.vercel.app
  5. ⬆️ Pushed 1 commit(s) to victoriacheng15/victoriacheng15.vercel.app

Pinned

  1. bubble-tea-api bubble-tea-api Public

    Node.js, Express, and MongoDB drive an app where users submit favorite bubble tea combos. The leaderboard ranks popularity, catering to enthusiasts for fresh drink choices.

    EJS 3

  2. rest-countries-api-next rest-countries-api-next Public

    React, TypeScript, and Jest fuel an app using a REST API. Displaying country info on cards, users can search, click for details, and redirect to dedicated country pages.

    TypeScript

  3. hacker-news-next hacker-news-next Public

    Using React (Next.js), Redux Toolkit, Vitest: Fetch top 5 stories from REST API on the homepage. Modal links to external sources, comments, and job postings. Browse more on other pages.

    TypeScript 4

  4. articles-extractor articles-extractor Public

    Python app utilizing Beautiful Soup, Docker, Bash, Raspberry Pi, and cron job to automate article extraction from preferred websites and organize them into Google Sheets.

    Python 1