René's URL Explorer Experiment


Title: 24. Execution Statistics — Python Programming for Economics and Finance

Open Graph Title: Execution Statistics

X Title: Execution Statistics

Description: This

Open Graph Description: This website presents a set of lectures on python programming for economics, designed and written by Thomas J. Sargent and John Stachurski.

X Description: This website presents a set of lectures on python programming for economics, designed and written by Thomas J. Sargent and John Stachurski.

Keywords:

Opengraph URL: https://python-programming.quantecon.org/status.html

X: @quantecon

direct link

Domain: python-programming.quantecon.org

twitter:cardsummary
twitter:creator@quantecon
twitter:imagehttps://assets.quantecon.org/img/qe-twitter-logo.png
og:typewebsite
og:imagehttps://assets.quantecon.org/img/qe-og-logo.png
og:site_namePython Programming for Economics and Finance
theme-color#ffffff

Links:

https://quantecon.org
https://quantecon.org
Jupyter Bookhttps://jupyterbook.org/v1/
Back to tophttps://python-programming.quantecon.org/status.html#top
Python Programming for Economics and Financehttps://python-programming.quantecon.org/intro.html
Thomas J. Sargenthttp://www.tomsargent.com/
John Stachurskihttps://johnstachurski.net/
full historyhttps://github.com/QuantEcon/lecture-python-programming.myst/commits/main/lectures/status.md
9045b9fhttps://github.com/QuantEcon/lecture-python-programming.myst/commit/9045b9f
5baf08bhttps://github.com/QuantEcon/lecture-python-programming.myst/commit/5baf08b
c47131ehttps://github.com/QuantEcon/lecture-python-programming.myst/commit/c47131e
66dab7ehttps://github.com/QuantEcon/lecture-python-programming.myst/commit/66dab7e
decb8ffhttps://github.com/QuantEcon/lecture-python-programming.myst/commit/decb8ff
#https://python-programming.quantecon.org/status.html#execution-statistics
about_pyhttps://python-programming.quantecon.org/about_py.html
debugginghttps://python-programming.quantecon.org/debugging.html
functionshttps://python-programming.quantecon.org/functions.html
getting_startedhttps://python-programming.quantecon.org/getting_started.html
introhttps://python-programming.quantecon.org/intro.html
jax_introhttps://python-programming.quantecon.org/jax_intro.html
matplotlibhttps://python-programming.quantecon.org/matplotlib.html
nameshttps://python-programming.quantecon.org/names.html
need_for_speedhttps://python-programming.quantecon.org/need_for_speed.html
numbahttps://python-programming.quantecon.org/numba.html
numpyhttps://python-programming.quantecon.org/numpy.html
numpy_vs_numba_vs_jaxhttps://python-programming.quantecon.org/numpy_vs_numba_vs_jax.html
oop_introhttps://python-programming.quantecon.org/oop_intro.html
pandashttps://python-programming.quantecon.org/pandas.html
pandas_panelhttps://python-programming.quantecon.org/pandas_panel.html
python_advanced_featureshttps://python-programming.quantecon.org/python_advanced_features.html
python_by_examplehttps://python-programming.quantecon.org/python_by_example.html
python_essentialshttps://python-programming.quantecon.org/python_essentials.html
python_oophttps://python-programming.quantecon.org/python_oop.html
scipyhttps://python-programming.quantecon.org/scipy.html
statushttps://python-programming.quantecon.org/status.html
sympyhttps://python-programming.quantecon.org/sympy.html
troubleshootinghttps://python-programming.quantecon.org/troubleshooting.html
workspacehttps://python-programming.quantecon.org/workspace.html
writing_good_codehttps://python-programming.quantecon.org/writing_good_code.html
https://creativecommons.org/licenses/by-sa/4.0/
QuantEconhttps://quantecon.org
1. About These Lectures https://python-programming.quantecon.org/about_py.html
2. Getting Started https://python-programming.quantecon.org/getting_started.html
3. An Introductory Example https://python-programming.quantecon.org/python_by_example.html
4. Functions https://python-programming.quantecon.org/functions.html
5. Python Essentials https://python-programming.quantecon.org/python_essentials.html
6. OOP I: Objects and Methods https://python-programming.quantecon.org/oop_intro.html
7. Names and Namespaces https://python-programming.quantecon.org/names.html
8. OOP II: Building Classes https://python-programming.quantecon.org/python_oop.html
9. Python for Scientific Computing https://python-programming.quantecon.org/need_for_speed.html
10. NumPy https://python-programming.quantecon.org/numpy.html
11. Matplotlib https://python-programming.quantecon.org/matplotlib.html
12. SciPy https://python-programming.quantecon.org/scipy.html
13. Numba https://python-programming.quantecon.org/numba.html
14. JAX https://python-programming.quantecon.org/jax_intro.html
15. NumPy vs Numba vs JAX https://python-programming.quantecon.org/numpy_vs_numba_vs_jax.html
16. Pandas https://python-programming.quantecon.org/pandas.html
17. Pandas for Panel Data https://python-programming.quantecon.org/pandas_panel.html
18. Writing Good Code https://python-programming.quantecon.org/writing_good_code.html
19. Writing Longer Programs https://python-programming.quantecon.org/workspace.html
20. More Language Features https://python-programming.quantecon.org/python_advanced_features.html
21. Debugging and Handling Errors https://python-programming.quantecon.org/debugging.html
22. SymPy https://python-programming.quantecon.org/sympy.html
23. Troubleshooting https://python-programming.quantecon.org/troubleshooting.html
24. Execution Statistics https://python-programming.quantecon.org/status.html
https://python-programming.quantecon.org/intro.html
QuantEconhttps://quantecon.org
https://python-programming.quantecon.org/_notebooks/status.ipynb
https://github.com/QuantEcon/lecture-python-programming.myst
Book (PDF)https://python-programming.quantecon.org/_pdf/quantecon-python-programming.pdf
Launch Notebookhttps://colab.research.google.com/github/QuantEcon/lecture-python-programming.notebooks/blob/main/status.ipynb

Viewport: width=device-width, initial-scale=1

URLs of crawlers that visited me.