The 3rd edition of my book Deep Learning with Python is being printed right now, and will be in bookstores within 2 weeks. You can order it now from Amazon or from Manning.
This time, we're also releasing the whole thing as a 100% free website.
I don't care if it reduces book sales, I think it's the best deep learning intro around, and more people should be able to read it.
I cannot stress this enough: if you’ve not had a “damn wow” experience recently with AI agents: it’s probably because you’ve not YOLO’d it on eg a side project.
My two biggest such moments were:
1. ChatGPT release (late 2022)
2. 2025 winter break with side projects
10 days into 2026:
- Terence Tao announces GPT & Aristotle solve Erdős problem autonomously
- Linus Torvalds concedes vibe coding is better than hand-coding for his non-kernel project
- DHH walks back “AI can’t code” from Lex podcast 6 months later
An acceleration is coming the likes of which humanity has never experienced before
In the AI race 🏁, who’s leading, and who’s still finding their footing?
Our latest research breaks down how industries stack up in AI maturity—and what sets the Pacesetters apart. See where your industry stands and how to gain ground: https://t.co/BQHINPwNmI
If you're a developer and you haven't read Designing Data Intensive Applications, treat yourself.
It is an excellent introduction to data and distributed systems thinking, and it's one of the best written and most fun books on software.
For experienced developers, there is no other book I know of that packs a punch like this one.
I do not make any suggestions for any other software books until you say you've read this one.
And disregard the bits about scale, it is relevant for any developer that stores or passes along data between more than one system. That is, it is relevant for basically every developer.
Chandrayaan-3 Mission:
'India🇮🇳,
I reached my destination
and you too!'
: Chandrayaan-3
Chandrayaan-3 has successfully
soft-landed on the moon 🌖!.
Congratulations, India🇮🇳!
#Chandrayaan_3#Ch3
Talking to people running public companies has made me realize there is always going to be money to be made in the public markets, because prices are set by buyers who've only done the most superficial analyses.
1. Logo
2. GW-BASIC
3. QBasic
4. C++
5. C
6. SQL
7. HTML, CSS
8. JavaScript
9. PHP
10. Java
11. Python
12. TypeScript
13. Go
Loved each one of them. Now I'm learning about about large scale systems.
What is ChatGPT doing ... and why does it work? From the lore of neural nets to what Aristotle didn't get to ... here's my version of the story: https://t.co/J1YVJvumEp