QuantEcon is a @NumFOCUS fiscally sponsored project dedicated to developing open source computational tools for economics. Supported by the @SloanFoundation.
Montana, USA
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Pure, beautiful abstract Dynamic Programming theory❣️❣️❣️
#DynamicProgramming #EconomicTheory #QuantEcon #EconTwitter
Tom and I have finally finished a draft of Dynamic Programming Vol 2! Exhausting but satisfying. New approach to DP theory, advanced material, many applications... dp.quantecon.org/
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We’re super delighted to host Simon’s new book, Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance❣️❣️❣️
Thrilled that "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance," found a home at @QuantEcon. Access the e-book/code here: quantecon.org/books/ . Huge thanks to Matt McKay, @john_stachurski , Tom Sargent, QuantEcon team for making this happen!
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QuantEcon retweeted
Tom Sargent and John Stachurski have written a @QuantEcon note on this (h/t @aledinola)
python-advanced.quantecon.or…
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QuantEcon retweeted
During today's #ICM2026 opening ceremonies, the IMU announced the 2026 Fields Medals recipients:
@UChicago's Yu Deng, @stonybrooku's John Pardon, @UofT's Jacob Tsimerman, and Hong Wang of @nyuniversity and @Institut_IHES.
Read more: bit.ly/4psOJbU
ALT headshot of Yu Deng
ALT headshot of John Pardon
ALT headshot of Jacob Tsimerman
ALT headshot of Hong Wang
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Definitely should not miss this❣️❣️❣️
Thrilled to share a project I've been refining: a complete, open-source repository on "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance."
I've cleaned up the materials from my PhD classes and summer schools into one coherent resource. 🧵 1/6
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Exciting to see our co-founder @john_stachurski leading a fantastic workshop on Advanced Computational Method at @CarnegieMellon ❣️❣️❣️
See more here:
github.com/QuantEcon/cmu_202…
#Python #GoogleJAX #EconTwitter
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Beautiful and deeply deserved.
Truly grateful for your guidance and the opportunity to work with you❣️❣️❣️
I know we shouldn't be driven by desire for accolades but I am proud of this one. Maybe I didn't entirely waste my short moment of time on this beautiful planet 🥹❤️ comp-econ.com/contest-and-pr… @SocCompEcon
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Dynamic Programming II just got its final chapter - - -
Approximation + reinforcement learning — free forever ❣️❣️❣️
#DynamicProgramming #QuantEcon #OpenSource #EconTwitter
We added a new and final chapter to Dynamic Programming Vol II (DP2) on approximation and reinforcement learning: dp.quantecon.org/. DP1 and DP2 will always remain freely available online -- give me liberty or give me death 🤟💀
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QuantEcon lectures can now be launched straight into Google Colab—no local setup needed🎉🎉🎉
Thanks @jlperla for making this even more accessible❣️❣️❣️
#JuliaLang #QuantEcon #OpenSource #ComputationalEconomics #EconTeaching #JuliaNotebooks #GoogleColab #Economics #DataScience
In the latest @QuantEcon Julia release, you can now launch notebooks directly in @GoogleColab.
Just click ▶️ on the online lecture to open it in Colab.
On first run, the notebook automatically installs all required packages.
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A big new release for Quantitative Economics with Julia 🎉 🎉 🎉
Thanks @jlperla for the overview — lots of improvements ❣️❣️❣️
#QuantEcon #JuliaLang #ComputationalEconomics #OpenSource
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Super happy to see Dynamic Programming by Sargent & Stachurski out in the world — rigorous, elegant, and full of applications. A beautiful piece of work❣️❣️❣️
Dynamic Programming by Thomas J Sargent and John Stachurski
Provides a rigorous and unified presentation of recent advances in dynamic programming, along with code, algorithms, and many applications.
📚 cup.org/452So7L
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From hours to seconds 🤯. An economist from @QuantEcon tells the story of how JAX's simple and expressive API transformed a critical economic model for the Central Bank of Chile, making high performance accessible. #JAX #SciComp #Economics #Python
goo.gle/jax-economics
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Should not miss it❣️❣️❣️
The tentative program for the summer school/conference on "Deep Learning in Economics and Finance (August 25-29)" is online: sites.google.com/carloalbert…, and sites.google.com/carloalbert… @YuchengYang1993 @glviolante @unito @nuvoloscloud
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Great❣️It’s always nice to have more options available‼️
notes.quantecon.org/submissi…
I added a notebook to @QuantEcon Notes. It shows how to use Julia JuMP for OLS and ML estimations.
Of course the purpose of the document is not to argue that we should use JuMP for OLS or ML! I wanted to see how JuMP could accommodate estimations with data.
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We have just added a new lecture on Neural Network using Keras and JAX.
❣️Don’t miss it.❣️
jax.quantecon.org/keras.html
Also, a reminder that @quantecon has rapidly expanding content for other frameworks, including Python JAX jax.quantecon.org/intro.html
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QuantEcon retweeted
@QuantEcon has released an updated version of the Julia lecture notes, with updated manifests and packages for Julia 1.11 support: julia.quantecon.org/intro.ht…
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Those fascinating reflections❣️❣️❣️
You don't hear very often this kind of reflections on economics' methodology. So interesting to hear Tom Sargent talking about Lucas' approach to macro (today at NYU)
tomsargent.com/research/Macr…
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