QuantEcon
@QuantEcon
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QuantEcon is a @NumFOCUS fiscally sponsored project dedicated to developing open source computational tools for economics. Supported by the @SloanFoundation.
Montana, USA
Joined September 2015
Should not miss it❣️❣️❣️.
The tentative program for the summer school/conference on "Deep Learning in Economics and Finance (August 25-29)" is online: and @YuchengYang1993 @glviolante @unito @nuvoloscloud.
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Great❣️It’s always nice to have more options available‼️.
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
This website presents a set of lectures on quantitative economic modeling using JAX, designed and written by Thomas J. Sargent and John Stachurski.
Also, a reminder that @quantecon has rapidly expanding content for other frameworks, including Python JAX
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RT @jlperla: @QuantEcon has released an updated version of the Julia lecture notes, with updated manifests and packages for Julia 1.11 sup….
julia.quantecon.org
This website presents a set of lectures on quantitative economic modeling, designed and written by Jesse Perla, Thomas J. Sargent and John Stachurski. The language instruction is Julia.
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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).
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Great talk today at #QuantEcon❣️. Inna Tsener (@UIBuniversitat).presented "Piecewise Linear Solutions for Non-Stationary Models" (with @MarianoKulish). Their innovative approach computes fast, accurate solutions for non-stationary models. #EconTwitter
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Exciting News! Our co-founder @john_stachurski led an insightful workshop on advanced computational methods and dynamic programming at @SocCompEcon @NTUsg Econ & Finance Conference last week❣️. See more at: #Python #GoogleJAX #EconTwitter
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Our co-founder Thomas Sargent @QuantEcon recently hosted a series of lectures at PHBS @pku_phbs❣️What an incredible learning experience for students❣️. We have more colors of t-shirts here☺️ #EconTwitter #QuantEcon #pku_phbs #NobelPrize
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Our co-founder @john_stachurski held a workshop on scientific computation at the Central Bank of Chile this May❣️ @bcentralchile. The workshop focused #Python for economic modelling to explore high-performance computing with #GoogleJAX #EconTwitter 🌟.
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RT @CambUP_Econ: Economic Networks by Thomas J. Sargent and John Stachurski - @john_stachurski.A rigorous and unified treatment of economic….
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New lecture in the JAX series: the Lucas asset pricing model:
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RT @spencer_lyon: New blog post introducing @Jupyteach -- a new #LMS for teaching #Python and #DataScience with #Jupyter (@ProjectJupyter )….
blog.valorumdata.com
Introducing Jupyteach, a new LMS for learning and teaching Data with Python
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RT @jlperla: I have heard many regrets on projects started and tools learned, but have NEVER heard an economist say: "I wish I hadn't learn….
julia.quantecon.org
This website presents a set of lectures on quantitative economic modeling, designed and written by Jesse Perla, Thomas J. Sargent and John Stachurski. The language instruction is Julia.
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Our Jax lectures🌟🌟🌟(Thanks Jesse!).
For those interested in teaching students about JAX, @john_stachurski and Tom Sargent have excellent @QuantEcon lecture notes: Key features:.- auto-differentiation.- vmap.- jit compilation.But significant tradeoffs in control flow:
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QuantEcon has just delivered our Africa summer course in July across three universities in West Africa！It was exciting for us to be able to work with these talented students in West Africa. (@AmazonScience) #EconTwitter
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