When colleagues ask me what I'm working on now, I mutter about "scientific workflow". Good scientific projects are entangled networks of assumptions and models and measurements in which the logic of each connection is transparent and can be checked. Working on 2 books and an ERC.
Here's a paper with a skeleton of the idea, but there is really lots of research to do on the structure of workflow networks, now to make them robust, how to development diagnostics and calculi for steps within them. doi.org/10.1073/pnas.2…
Good morning from London, where we start Day 2 of the @royalsociety meeting "The Future of Scientific Publishing". Yesterday, we discussed the problems; today, we're going to solve them all!
#FutureSciPub
I haven't read this book, but the authors (Grant & Di Tanna) know their stuff, and they provide code for every script/engine. Meta- and mega-analysis one of those places where Bayes is natural and often easier than non-Bayes.
I haven't read this book, but the authors (Grant & Di Tanna) know their stuff, and they provide code for every script/engine. Meta- and mega-analysis one of those places where Bayes is natural and often easier than non-Bayes. https://t.co/X2ImJJtUcr
There are multiple ways to estimate that ratio, and you should be careful about how you do it! 2-Stage-Least-Squares is popular, but it has poor variance, because estimating a ratio is one of the harder things to do robustly.
I prefer a Bayesian approach, unsurprisingly.
In my dept today we discussed deriving estimators from causal models. This can be opaque, but as a simple e.g. instrumental variable Z for estimating X on Y. Z –a–> X –b–> Y, and X <– U –> Y, where U is unmeasured, a and b are path coefs. We want to know b. How? >>
Synchronized behavior without intelligent central control is common in nature. And it's something we actually understand for a change. @ncasenmare made this firefly simulator that explains the basics. Based on an example from @stevenstrogatz book "Sync".
ncase.me/fireflies/
I realize the world is burning, but here is the abstract of a talk I will give multiple times in different formats this month. With the feedback, I hope to write up something substantial on the theme in the remainder of the year.
How to build a choropleth map with Python? 🐍
It's always the same steps:
1️⃣ Find a GeoJSON
A GeoJSON file stores region boundaries. You can find plenty of free ones online.
2️⃣ Load it with GeoPandas
Just one line of code, and you're ready to go!
🧵
Many ppl ask me why I compete with Coursera, Datacamp, Udemy..
But I create very different content!
🎮 Highly interactive
📈 Learn #dataviz AND #coding. Not just one.
👷♂️ Practice for real (like a lot!!)
⛏️ In depth: understand matplotlib for REAL
matplotlib-journey.com
Want to make better charts at work?
Only 1 way:
🙇♀️ Practice
🤝 Get feedback
♻️ Repeat!
The charts below are a glimpse of what students created in Matplotlib-Journey.com.
They use the course Discord to share, get feedback, and refine their code!
Only 2 days left to join🚀
⏰ Last call!
If you want to create stunning charts with Python, there are a 8 hours left only to join Matplotlib Journey!
matplotlib-journey.com
Thanks so much to the 414 people who joined already! 🙏
Graph by the awesome @CedScherer, python repro by @joseph_barbier
🔥 New Python library for #dataviz!
"morethemes" gives your graph a better theme in 1 line of code!
It currently offers 10 themes inspired by famous journals such as The Wall Street Journal, andThe Economist.
Learn more: lnkd.in/eh5WGt7g
Congrats @joseph_barbier !
🍾 Yay! Excited to release a new project!
It's a visual exploration of our aging world.
It made it to the long list for the Information Is Beautiful Awards! 🚀
Tech stack: React + D3.js, of course ❤️
react-graph-gallery.com/example/popula…
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