Quantitative Economics with Python
Execution Statistics
61. Execution Statistics¶
This table contains the latest execution statistics.
Document |
Modified |
Method |
Run Time (s) |
Status |
---|---|---|---|---|
aiyagari |
2021-05-04 03:11 |
cache |
21.77 |
✅ |
ar1_processes |
2021-05-04 03:11 |
cache |
6.02 |
✅ |
cake_eating_numerical |
2021-05-04 03:11 |
cache |
48.84 |
✅ |
cake_eating_problem |
2021-05-04 03:11 |
cache |
1.71 |
✅ |
career |
2021-05-04 03:11 |
cache |
19.68 |
✅ |
cass_koopmans_1 |
2021-05-04 03:11 |
cache |
8.0 |
✅ |
cass_koopmans_2 |
2021-05-04 03:11 |
cache |
7.54 |
✅ |
coleman_policy_iter |
2021-05-04 03:11 |
cache |
45.03 |
✅ |
complex_and_trig |
2021-05-04 03:11 |
cache |
2.94 |
✅ |
egm_policy_iter |
2021-05-04 03:11 |
cache |
14.95 |
✅ |
exchangeable |
2021-05-04 03:11 |
cache |
9.67 |
✅ |
finite_markov |
2021-05-04 03:11 |
cache |
13.02 |
✅ |
ge_arrow |
2021-05-04 03:11 |
cache |
3.01 |
✅ |
geom_series |
2021-05-04 03:11 |
cache |
5.02 |
✅ |
harrison_kreps |
2021-05-04 03:11 |
cache |
9.61 |
✅ |
heavy_tails |
2021-05-04 03:11 |
cache |
25.74 |
✅ |
ifp |
2021-05-04 03:11 |
cache |
38.45 |
✅ |
ifp_advanced |
2021-05-04 03:11 |
cache |
25.78 |
✅ |
intro |
2021-05-04 03:11 |
cache |
0.81 |
✅ |
inventory_dynamics |
2021-05-04 03:11 |
cache |
13.02 |
✅ |
jv |
2021-05-04 03:11 |
cache |
28.02 |
✅ |
kalman |
2021-05-04 03:11 |
cache |
13.85 |
✅ |
kesten_processes |
2021-05-04 03:11 |
cache |
37.85 |
✅ |
lake_model |
2021-05-04 03:11 |
cache |
21.41 |
✅ |
likelihood_bayes |
2021-05-04 03:11 |
cache |
5.76 |
✅ |
likelihood_ratio_process |
2021-05-04 03:11 |
cache |
8.8 |
✅ |
linear_algebra |
2021-05-04 03:11 |
cache |
2.45 |
✅ |
linear_models |
2021-05-04 03:11 |
cache |
14.5 |
✅ |
lln_clt |
2021-05-04 03:11 |
cache |
13.9 |
✅ |
lq_inventories |
2021-05-04 03:11 |
cache |
20.36 |
✅ |
lqcontrol |
2021-05-04 03:11 |
cache |
12.02 |
✅ |
markov_asset |
2021-05-04 03:11 |
cache |
14.02 |
✅ |
markov_perf |
2021-05-04 03:11 |
cache |
11.02 |
✅ |
mccall_correlated |
2021-05-04 03:11 |
cache |
104.04 |
✅ |
mccall_fitted_vfi |
2021-05-04 03:11 |
cache |
20.4 |
✅ |
mccall_model |
2021-05-04 03:11 |
cache |
21.02 |
✅ |
mccall_model_with_separation |
2021-05-04 03:11 |
cache |
12.42 |
✅ |
mle |
2021-05-04 03:11 |
cache |
6.02 |
✅ |
multi_hyper |
2021-05-04 03:11 |
cache |
20.37 |
✅ |
multivariate_normal |
2021-05-04 03:11 |
cache |
4.69 |
✅ |
navy_captain |
2021-05-04 03:11 |
cache |
42.9 |
✅ |
odu |
2021-05-04 03:11 |
cache |
87.8 |
✅ |
ols |
2021-05-04 03:11 |
cache |
9.02 |
✅ |
optgrowth |
2021-05-04 03:11 |
cache |
105.3 |
✅ |
optgrowth_fast |
2021-05-04 03:11 |
cache |
44.02 |
✅ |
pandas_panel |
2021-05-04 03:11 |
cache |
5.02 |
✅ |
perm_income |
2021-05-04 03:11 |
cache |
10.96 |
✅ |
perm_income_cons |
2021-05-04 03:11 |
cache |
13.49 |
✅ |
rational_expectations |
2021-05-04 03:11 |
cache |
9.69 |
✅ |
re_with_feedback |
2021-05-04 03:11 |
cache |
12.47 |
✅ |
samuelson |
2021-05-04 03:11 |
cache |
36.8 |
✅ |
scalar_dynam |
2021-05-04 03:11 |
cache |
4.93 |
✅ |
schelling |
2021-05-04 03:11 |
cache |
2.87 |
✅ |
short_path |
2021-05-04 03:11 |
cache |
2.02 |
✅ |
sir_model |
2021-05-04 03:11 |
cache |
3.45 |
✅ |
status |
2021-05-04 03:11 |
cache |
0.81 |
✅ |
time_series_with_matrices |
2021-05-04 03:11 |
cache |
2.74 |
✅ |
troubleshooting |
2021-05-04 03:11 |
cache |
0.81 |
✅ |
uncertainty_traps |
2021-05-04 03:11 |
cache |
2.74 |
✅ |
wald_friedman |
2021-05-04 03:11 |
cache |
23.55 |
✅ |
wealth_dynamics |
2021-05-04 03:11 |
cache |
78.74 |
✅ |
zreferences |
2021-05-04 03:11 |
cache |
0.81 |
✅ |
These lectures are built on linux
instances through github actions
so are
executed using the following hardware specifications