Santiago Profile picture
Oct 4, 2020 11 tweets 5 min read Read on X
My recommendations for your first 30 days of Python 🐍.

🧵👇
I get many messages, and the most frequent question by far is, "How do I start with Python?"

There are multiple ways. Every one as valid as the one before.

Here is my way. These are my recommendations.

👇
1⃣Before anything else, remember that you need to make a commitment and be consistent.

Dedicate time to learn every day. It doesn't matter how much. Find a time that works for you.

The hashtag #100DaysOfCode is a great way to share your progress and stay accountable.

👇
2⃣You need to learn programming fundamentals.

(If you already know a different language, you may skip this step.)

"Learn to Program" is a free course that will teach you the basics of programming using Python.

I'd recommend you start here: coursera.org/learn/learn-to…

👇
3⃣Introduction to Python Programming is another great option to get started.

This is a free course from Udacity. It covers a little more than "Learn to Program", so this is the one I'd recommend to get started if you already know another language.

udacity.com/course/introdu…

👇
4⃣Books are a great companion!

▫️Dive Into Python 3 - amzn.to/3cRDqVc
▫️Python Crash Course - amzn.to/2GaQLfJ
▫️The Quick Python Book - amzn.to/2GnfeOT
▫️Beginning Python - amzn.to/2HSsmvR

They all start from the beginning. Pick one.

👇
5⃣If you like games, try CodeCombat at the same time you are taking your lessons.

This is gamified learning, and you'll get some practice with Python while having fun.

Site: codecombat.com

👇
6⃣You want to spend as much time as possible making things. Pick one of the following projects:

▫️A dice rolling simulator
▫️Rock, paper, scissors game
▫️A calculator
▫️The hangman game

Pick a different project if you have a better idea, but actively make something.

👇
7⃣Solving exercises is a great way to solidify your knowledge.

Here you have 10 problems with their solutions that you can try as you feel more confident:



These are simple problems, but they may take a while when you are starting. That's fine.

👇
8⃣Find a partner to share your journey.

This is one of the things that has always worked amazingly well for me: find somebody to learn together.

You'll make an incredible amount of progress when working with someone else.

👇
Going through all of these may take longer than 30 days. That's fine. These recommendations are supposed to get you started.

The most important thing is for you to want this bad enough. If you do, it will happen.

Good luck!

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More from @svpino

Jul 12
A common fallacy:

If it's raining, the sidewalk is wet. But if the sidewalk is wet, is it raining?

Reversing the implication is called "affirming the consequent." We usually fall for this.

But surprisingly, it's not entirely wrong!

Let's explain it using Bayes Theorem:

1/10 Image
This explanation is courtesy of @TivadarDanka. He allowed me to republish it.

He is writing a book about the mathematics of Machine Learning. It's the best book I've read:



Nobody explains complex ideas like he does.

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We call propositions of the form "if A, then B" implications.

We write them as "A → B," and they form the bulk of our scientific knowledge.

For example:

"If X is a closed system, then the entropy of X cannot decrease" is the second law of thermodynamics.

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Jun 12
Some of the skills you need to start building AI applications:

• Python and SQL
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• Retrieval Augmented Generation
• Vector databases

Here is one of the most comprehensive programs that you'll find online:
"Generative AI for Software Developers" is a 4-month online course.

It's a 5 to 10-hour weekly commitment, but you can dedicate as much time as you want to finish early.

Here is the link to the program:

I also have a PDF with the syllabus:bit.ly/4aNOJdy


I'm a huge fan of online education, but most of it is all over the place and mostly theoretical.

This program is different:

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Read 6 tweets
Jun 10
There's a stunning, simple explanation behind matrix multiplication.

This is the first time this clicked on my brain, and it will be the best thing you read all week.

Here is a breakdown of the most crucial idea behind modern machine learning:

1/15 Image
This explanation is courtesy of @TivadarDanka. He allowed me to republish it

3 years ago, he started writing a book about the mathematics of Machine Learning.

It's the best book you'll ever read:



Nobody explains complex ideas like he does.

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Let's start with the raw definition of the product of A and B.

This looks horrible and complicated.

Let's unwrap it step by step.

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May 28
This assistant has 169 lines of code:

• Gemini Flash
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• OpenAI TTS API
• OpenCV

GPT-4o is slower than Flash, more expensive, chatty, and very stubborn (it doesn't like to stick to my prompts).

Next week, I'll post a step-by-step video on how to build this.
The first request takes longer (warming up), but things work faster from that point.

Few opportunities to improve this:

1. Stream answers from the model (instead of waiting for the full answer.)

2. Add the ability to interrupt the assistant.

3. Whisper running on GPU
Unfortunately, no local modal supports text+images (as far as I know,) so I'm stuck running online models.

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Read 4 tweets
May 25
I’m so sorry about anyone who bought the rabbit r1.

It’s not just that the product is non-functional (as we learned from all the reviews), the real problem is that the whole thing seems to be a lie.

None of what they pitched exists or functions the way they said. Image
They sold the world on a Large Action Model (LAM), an intelligent AI model that would understand applications and execute the actions requested by the user.

In reality, they are using Playwright, a web automation tool.

No AI. Just dumb, click-around, hard-coded scripts. Image
Their foundational AI model is just ChatGPT + scripts.

Rabbit’s founder lied on their marketing videos, during interviews, when he presented the product, and lied on Discord when answering questions from early supporters.

And that’s just the beginning:
Read 4 tweets
Mar 31
What a week, huh?

1. Mojo 🔥 went open-source
2. Claude 3 beats GPT-4
3. $100B supercomputer from MSFT and OpenAI
4. Andrew Ng and Harrison Chase discussed AI Agents
5. Karpathy talked about the future of AI
...

And more.

Here is everything that will keep you up at night:
Mojo 🔥, the programming language that turns Python into a beast, went open-source.

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Read 10 tweets

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