Dr. John Lopez

Data Scientist, Astrophysicist and aspiring Salsa dancer. All opinions here are my own and do not represent the views of my employer/university.

[Dr. John Lopez @AstroJLo]

3 months ago I submitted my PhD thesis. It still hasn't really sunk in; and i'm not sure when it will!

[Barack Obama @BarackObama]

What the Artemis II astronauts did over the last 10 days was a testament to their bravery. And the fact that they traveled farther from Earth than anyone ever has, re-entered our atmosphere at more than 24,000 mph, and splashed down safely was a testament to human ingenuity. Thanks to everyone at @NASA for making this mission possible, and for taking us along for the ride.

[Pokemon Deals, Restocks & News @PokemonTCGIntel]

Official life-size Eeveelution plushies 🤯

[Pokémon TCG @PokemonTCG]

Get ready to choose your allegiance when Team Rocket returns in #PokemonTCG: #DestinedRivals 🚀

Will you join forces with Trainers like Cynthia, Ethan, and Arven or battle alongside Team Rocket this May 30, 2025?

[PokeBeach.com💧 @pokebeach]

Who cares about Pokemon cards I NEED this fan for my desk

[Madeleine McKenzie @MadellanicCloud]

Overwhelmed, excited, anxious, scared. I've been feeling so many emotions since I was given the news - never in my wildest dreams did I think I'd get to be a NASA Hubble Fellow 🤯 I love globular clusters so much and I'm incredibly grateful that I get to study them ✨

[Sambhav Gupta @sambhav_ai]

🚨 Good Bye Reality

Every single video in this thread was generated by Open AI's new text to video model "Sora" 🤯

🧵
1/48

[George Mack @george__mack]

What idea changed how you view the world?

Here's mine: High Agency.

The high agency library: (19 best examples I've found in 4 years)

[Dr. Emily Petroff @ebpetroff]

Well, that's it. I've peaked in life having been cited in XKCD *and* making it into the alt text. Going to retire to nerd heaven now.

https://t.co/hTxwREVlSS

[MrBeast @MrBeast]

I’m gonna give 10 random people that repost this and follow me $25,000 for fun (the $250,000 my X video made)

I’ll pick the winners in 72 hours

[Tamara Davis @tamarastro]

We did it! Today we released the Dark Energy Survey @theDESurvey supernova cosmology results!!!
A massive effort from many people. This has been the prime focus of my research for the last decade, and it was an honour to co-lead this working group. What did we find?.... a 🧵

[Akshay 🚀 @akshay_pachaar]

PyTorch 101: Tensors clearly explained!

Tensors are the fundamental building blocks for performing mathematical operations in deep learning models.

Today, I will provide a comprehensive explanation with illustrative code examples.

Let's go! 🚀

[Hasan Toor @hasantoxr]

Coding games are the best way to learn coding.

From CSS, Python, JavaScript to Blockchain.

Here are 10 of the BEST online games to learn coding in 2024:

[Akshay 🚀 @akshay_pachaar]

Eigenvalues & Eigenvectors clearly explained!

The concept of eigenvalues & eigenvectors is widely known yet poorly understood!

Today, I'll clearly explain their meaning & significance.

Let's go! 🚀

[Saurabh Kumar @drummatick]

This tweet is about how I have studied ML and made it my profession. I'll share the resources I've used and the sequence of my study.

Straight to point

ML pre-requisites(maths) : Linear Algebra, Probability Theory, Calculus, Optimization Theory(optional), Information theory(optional)

Linear Algebra: Lecture course by Gilbert Strang

Probability theory: MIT 6.041 (it contains parts of Bayesian inference as well)

Calculus: your high school and college classes are enough

Once basic maths is done then we move to ML.

Classical ML : CS229. Either by Andrew NG or someone else. Follow their lecture notes and solve their problem sets.

Reference books for classical ML that I followed: PRML by Christopher bishop, Pattern Classification by Duda, Hart and Stork

After getting comfortable with classical ML we move to Deep Learning and everything else.

Deep Learning and Computer Vision: CS231n. Very good lecture and assignments

Reference book: Deep Learning by Ian Goodfellow. This is the best book on deep learning. I’ve read some chapters of it many many times. Beautiful maths and intuitions

MLOps: dvc, WandB, MLFlow

NLP: I just read hugging face blogs. I haven’t spent much time with classical NLP though.

Alignment/AI safety/AI explainability: Anthropic Blogs(I’m a noob in this, just started learning couple months ago)

Additionally:

Blogs: Lilian Weng(OpenAI)’s blogs, colah’s blogs

Additionally: arxiv. I read many papers from arxiv

Karas and Tensorflow blogs: for introductory code about modern deep learning frameworks

Competitions: Kaggle

Cloud compute. GCP/collab/Kaggle notebooks

PS: this is not a roadmap. Just what I followed till now and I find it quite structured. Even after 5 years I still find myself learning new stuff everyday.

[Akshay 🚀 @akshay_pachaar]

I have been coding in Python for 8 years now.⏳

Here are 7️⃣ amazing Python libraries not known to many...👇

[Omoalhaja @omoalhajaabiola]

Top 50 SQL queries during Interviews

[Atharva @atharvatwts]

I started learning to code exactly 2 years ago and landed my first job as a Software Engineer in 2023.

If I were to restart my programming journey, this is what I would do 🧵 :

[Mathieu @miniapeur]

Physicists be like.

[Akshay 🚀 @akshay_pachaar]

Object oriented programming is essential for writing clean & modular code!

Today, I'll clearly explain OOPs with Python!

Let's go! 🚀

[Joseph Karpinski @jkarpin2]

A Beginner's Guide to Working with Astronomical Data
Reposting: This is so good!
#astronomy #astronomer #Science #Python #TOPCAT #DS9

https://t.co/inX11QMMJk