From 440a83d23b8ee0922e8a137d2a8d50de24337a72 Mon Sep 17 00:00:00 2001 From: Matt McKay Date: Tue, 12 Mar 2024 12:36:57 +1100 Subject: [PATCH] Revert "MAINT: Upgrade anaconda and README (#396)" (#397) This reverts commit a84f8c3113d759c40591956cd604d5a7d174fc81. --- README.md | 46 ++++++++++++++++++++++++++++++++++---------- environment.yml | 2 +- lectures/_config.yml | 1 - lectures/status.md | 17 +++------------- 4 files changed, 40 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index 43c21f23..6701534b 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,42 @@ -# A First Course in Quantitative Economics with Python +# lecture-python-intro -An Undergraduate Lecture Series for the Foundations of Computational Economics +An undergraduate lecture series for the foundations of computational economics -## Jupyter notebooks +## Content ideas -Jupyter notebook versions of each lecture are available for download -via the website. +Content ideas in no particular order. -## Contributions +Open individual issues and PRs for the ones we decide to add. -To comment on the lectures please add to or open an issue in the issue tracker (see above). + 1. Geometric Series (existing lecture) + 2. Leontief Systems (from Networks Book) + 3. Luenberger + 4. IO Visualizations (from Networks Book) + 5. PyPGM (Eileen Nielson ... Youtube Star) + 6. Baby Version of https://python.quantecon.org/re_with_feedback.html (Cagan Model) + 7. Baby Version of "unpleasant arithmetic and Friedmans optimal quantity of money" + 8. Schelling Segregation Model + 9. Solow Model + 10. Simulations of Wealth Distribution + 11. Baby model of Lake Model (Eigenvalue Extension) + 12. Diamond Dybvig Model + 13. Moral Harzard - Wallace + 14. Philips Curve and Nairu + 15. Baby version of the Markov Chain Lecture + 16. Baby linear programming lecture + 17. Basic Nonlinear Demand and Supply (non-linear solver) OOP lecture + 18. Asset Pricing (Harrison/Kreps Model) + 19. Two Models of Asset Bubbles + 20. cobweb model -- start people thinking about expectations + 21. social mobility lecture + 22. Baby version of cattle cycles model + 23. Bi-matrix games. + 24. Shortest path lecture (existing) + 25. Pricing an American option + 26. Baby version of LLN / CLT lecture --- less maths, more simulation, all in one dimension + 27. Baby version of heavy tails lecture + 30. Lecture on solving linear equations and matrix algebra + 31. Lecture on eigenvalues, Perron-Frobenius and the Neumann series lemma + 32. Overlapping generations -We welcome pull requests! - -Please read the [QuantEcon style guide](https://manual.quantecon.org/intro.html) first, so that you can match our style. +Get Tom's network intermediary paper. diff --git a/environment.yml b/environment.yml index 52036b80..5792c991 100644 --- a/environment.yml +++ b/environment.yml @@ -4,7 +4,7 @@ channels: - conda-forge dependencies: - python=3.11 - - anaconda=2024.02 + - anaconda=2023.09 - pip - pip: - jupyter-book==0.15.1 diff --git a/lectures/_config.yml b/lectures/_config.yml index 407cc295..348a1881 100644 --- a/lectures/_config.yml +++ b/lectures/_config.yml @@ -37,7 +37,6 @@ latex: sphinx: extra_extensions: [sphinx_multitoc_numbering, sphinxext.rediraffe, sphinx_exercise, sphinx_togglebutton, sphinx.ext.intersphinx, sphinx_proof, sphinx_tojupyter] config: - bibtex_reference_style: author_year # false-positive links linkcheck_ignore: ['https://doi.org/https://doi.org/10.2307/1235116', 'https://math.stackexchange.com/*', 'https://stackoverflow.com/*'] # myst-nb config diff --git a/lectures/status.md b/lectures/status.md index 3ada25f0..8309f510 100644 --- a/lectures/status.md +++ b/lectures/status.md @@ -18,17 +18,6 @@ This table contains the latest execution statistics. (status:machine-details)= -These lectures are built on `linux` instances through `github actions`. - -These lectures are using the following python version - -```{code-cell} ipython -!python --version -``` - -and the following package versions - -```{code-cell} ipython -:tags: [hide-output] -!conda list -``` \ No newline at end of file +These lectures are built on `linux` instances through `github actions` and `amazon web services (aws)` to +enable access to a `gpu`. These lectures are built on a [p3.2xlarge](https://aws.amazon.com/ec2/instance-types/p3/) +that has access to `8 vcpu's`, a `V100 NVIDIA Tesla GPU`, and `61 Gb` of memory. \ No newline at end of file