Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
README.md		README.md
about_lectures.ipynb		about_lectures.ipynb
about_py.ipynb		about_py.ipynb
additive_functionals.ipynb		additive_functionals.ipynb
aiyagari.ipynb		aiyagari.ipynb
amss.ipynb		amss.ipynb
amss2.ipynb		amss2.ipynb
amss3.ipynb		amss3.ipynb
ar1_processes.ipynb		ar1_processes.ipynb
arellano.ipynb		arellano.ipynb
arma.ipynb		arma.ipynb
black_litterman.ipynb		black_litterman.ipynb
calvo.ipynb		calvo.ipynb
career.ipynb		career.ipynb
cass_koopmans.ipynb		cass_koopmans.ipynb
cattle_cycles.ipynb		cattle_cycles.ipynb
chang_credible.ipynb		chang_credible.ipynb
chang_ramsey.ipynb		chang_ramsey.ipynb
classical_filtering.ipynb		classical_filtering.ipynb
coase.ipynb		coase.ipynb
coleman_policy_iter.ipynb		coleman_policy_iter.ipynb
complex_and_trig.ipynb		complex_and_trig.ipynb
cons_news.ipynb		cons_news.ipynb
debugging.ipynb		debugging.ipynb
discrete_dp.ipynb		discrete_dp.ipynb
dyn_stack.ipynb		dyn_stack.ipynb
egm_policy_iter.ipynb		egm_policy_iter.ipynb
estspec.ipynb		estspec.ipynb
exchangeable.ipynb		exchangeable.ipynb
finite_markov.ipynb		finite_markov.ipynb
functions.ipynb		functions.ipynb
geom_series.ipynb		geom_series.ipynb
getting_started.ipynb		getting_started.ipynb
growth_in_dles.ipynb		growth_in_dles.ipynb
harrison_kreps.ipynb		harrison_kreps.ipynb
heavy_tails.ipynb		heavy_tails.ipynb
hs_invertibility_example.ipynb		hs_invertibility_example.ipynb
hs_recursive_models.ipynb		hs_recursive_models.ipynb
ifp.ipynb		ifp.ipynb
inventory_dynamics.ipynb		inventory_dynamics.ipynb
irfs_in_hall_model.ipynb		irfs_in_hall_model.ipynb
jv.ipynb		jv.ipynb
kalman.ipynb		kalman.ipynb
kesten_processes.ipynb		kesten_processes.ipynb
lake_model.ipynb		lake_model.ipynb
likelihood_ratio_process.ipynb		likelihood_ratio_process.ipynb
linear_algebra.ipynb		linear_algebra.ipynb
linear_models.ipynb		linear_models.ipynb
lln_clt.ipynb		lln_clt.ipynb
lq_inventories.ipynb		lq_inventories.ipynb
lqcontrol.ipynb		lqcontrol.ipynb
lqramsey.ipynb		lqramsey.ipynb
lu_tricks.ipynb		lu_tricks.ipynb
lucas_asset_pricing_dles.ipynb		lucas_asset_pricing_dles.ipynb
lucas_model.ipynb		lucas_model.ipynb
markov_asset.ipynb		markov_asset.ipynb
markov_jump_lq.ipynb		markov_jump_lq.ipynb
markov_perf.ipynb		markov_perf.ipynb
matplotlib.ipynb		matplotlib.ipynb
matsuyama.ipynb		matsuyama.ipynb
mccall_correlated.ipynb		mccall_correlated.ipynb
mccall_fitted_vfi.ipynb		mccall_fitted_vfi.ipynb
mccall_model.ipynb		mccall_model.ipynb
mccall_model_with_separation.ipynb		mccall_model_with_separation.ipynb
mle.ipynb		mle.ipynb
multiplicative_functionals.ipynb		multiplicative_functionals.ipynb
muth_kalman.ipynb		muth_kalman.ipynb
need_for_speed.ipynb		need_for_speed.ipynb
numba.ipynb		numba.ipynb
numpy.ipynb		numpy.ipynb
odu.ipynb		odu.ipynb
ols.ipynb		ols.ipynb
oop_intro.ipynb		oop_intro.ipynb
opt_tax_recur.ipynb		opt_tax_recur.ipynb
optgrowth.ipynb		optgrowth.ipynb
optgrowth_fast.ipynb		optgrowth_fast.ipynb
orth_proj.ipynb		orth_proj.ipynb
pandas.ipynb		pandas.ipynb
pandas_panel.ipynb		pandas_panel.ipynb
parallelization.ipynb		parallelization.ipynb
perm_income.ipynb		perm_income.ipynb
perm_income_cons.ipynb		perm_income_cons.ipynb
permanent_income_dles.ipynb		permanent_income_dles.ipynb
python_advanced_features.ipynb		python_advanced_features.ipynb
python_by_example.ipynb		python_by_example.ipynb
python_essentials.ipynb		python_essentials.ipynb
python_oop.ipynb		python_oop.ipynb
rational_expectations.ipynb		rational_expectations.ipynb
re_with_feedback.ipynb		re_with_feedback.ipynb
rob_markov_perf.ipynb		rob_markov_perf.ipynb
robustness.ipynb		robustness.ipynb
rosen_schooling_model.ipynb		rosen_schooling_model.ipynb
samuelson.ipynb		samuelson.ipynb
scalar_dynam.ipynb		scalar_dynam.ipynb
schelling.ipynb		schelling.ipynb
sci_libs.ipynb		sci_libs.ipynb
scipy.ipynb		scipy.ipynb
short_path.ipynb		short_path.ipynb
smoothing.ipynb		smoothing.ipynb
smoothing_tax.ipynb		smoothing_tax.ipynb

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lecture-py-notebooks

A Repository of Notebooks for the QuantEcon Python Lecture Site

These files are generated and sources are at https://github.com/QuantEcon/lecture-source-py

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