With hard work and determination, anyone can learn to code.

Here’s a list of my favorites resources if you’re learning to code in 2021.

👇

1. freeCodeCamp.

I’d suggest picking one of the projects in the curriculum to tackle and then completing the lessons on syntax when you get stuck. This way you know *why* you’re learning what you’re learning, and you're building things immediately.

https://t.co/USHKYI5VHp
2. https://t.co/7XC50GlIaa is a hidden gem. Things I love about it:

1) You can see the most upvoted solutions so you can read really good code

2) You can ask questions in the discussion section if you're stuck, and people often answer. Free mentorship!

https://t.co/bX28PngH4i
3. https://t.co/V9gcXqqLN6 and https://t.co/KbEYGL21iE

On stackoverflow you can find answers to almost every problem you encounter. On GitHub you can read so much great code. You can build so much just from using these two resources and a blank text editor.
4. https://t.co/xX2J00fSrT @eggheadio specifically for frontend dev.

Their tutorials are designed to maximize your time, so you never feel overwhelmed by a 14-hour course. Also, the amount of prep they put into making great courses is unlike any other online course I've seen.
5. https://t.co/7MU2nHpsz2

This site is so much fun!

Especially if you feel intimidated or bored by other coding sites. It's an addicting game and you can choose what language you want to learn (JavaScript, Python etc)
6. https://t.co/uAAqbI9iTW

Similar to freeCodeCamp and has tracks in JavaScript, Ruby, HTML + CSS, node, etc. The courses have a good roadmap that takes you step by step and build up your knowledge.
7. https://t.co/JwwBlncZZF

For frontend development. These workshops are special. One of my favorite things about them are the live questions that teachers answer throughout the workshops. If you join a live workshop you can interact with your teacher, which is pretty awesome.
8. Colt Steele's Web Dev Bootcamp course.

For so many people, this teacher inspired them to get into coding and left them with the belief that they could do it. Colt's courses are magical.

https://t.co/GJgg2Adi06
I specifically left this list as short as possible because I don't think it's helpful to be bombarded with a list of 101 resources. That can be overwhelming. Lastly, I hold group coding sessions where we tackle coding problems every Sunday in @CodeBookClub!

More from Machine learning

Really enjoyed digging into recent innovations in the football analytics industry.

>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇‍♂️ https://t.co/9YOSrl8TdN


For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.

This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method
https://t.co/Hx8XTUMpJ5


Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.

Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN


So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?

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