🌟 2022 React developer roadmap.

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6 beginner friendly websites that will boost your HTML and CSS learning process πŸš€

πŸ§΅πŸ‘‡πŸ»

1️⃣ Learn HTML

- The easiest way to learn HTML & CSS. Learn HTML provides an interactive tutorial that explains how to build HTML & CSS websites step by step.

πŸ”—
https://t.co/W1XytKL1MI


2️⃣ HTML best practice

- A very well written document on HTML best practice

πŸ”— https://t.co/6PTcY1U5Cw


3️⃣ Learn to Code HTML & CSS

- Learn to Code HTML & CSS is a simple and comprehensive guide dedicated to helping beginners learn HTML and CSS

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4️⃣ Hex Invaders

- Hex Invaders is a fun way to learn and understand what hex codes are and how they work

πŸ”— https://t.co/EpQyhlN7pv
12 websites that will help you learn web development faster (completely free): 🧡

1. How HTTP Works

Everything you need to know about HTTP based system.

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https://t.co/gVZS4RzS1a


2. 30 Days of Node

Learn Node step by step with interactive examples and code snippet in 30 days.

πŸ”— https://t.co/9nbtMiNB1C


3. How DNS Works

Learn what happens when you type a website address in your browser

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4. Git

Check out this excellent free website to learn git visually.

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! πŸ‘‡

It's all in French, but if you're up for it you can read:
β€’ Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
β€’ Their high-level legal decision: https://t.co/hwpiEvjodt
β€’ The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent β€” this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have β€” though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.