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Title: Python Programming for Economics and Finance — Python Programming for Economics and Finance

Open Graph Title: Python Programming for Economics and Finance

X Title: Python Programming for Economics and Finance

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/intro.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/intro.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/intro.md
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#https://python-programming.quantecon.org/intro.html#python-programming-for-economics-and-finance
the set of lecture serieshttps://quantecon.org/lectures/
1. About These Lectureshttps://python-programming.quantecon.org/about_py.html
2. Getting Startedhttps://python-programming.quantecon.org/getting_started.html
3. An Introductory Examplehttps://python-programming.quantecon.org/python_by_example.html
4. Functionshttps://python-programming.quantecon.org/functions.html
5. Python Essentialshttps://python-programming.quantecon.org/python_essentials.html
6. OOP I: Objects and Methodshttps://python-programming.quantecon.org/oop_intro.html
7. Names and Namespaceshttps://python-programming.quantecon.org/names.html
8. OOP II: Building Classeshttps://python-programming.quantecon.org/python_oop.html
9. Python for Scientific Computinghttps://python-programming.quantecon.org/need_for_speed.html
10. NumPyhttps://python-programming.quantecon.org/numpy.html
11. Matplotlibhttps://python-programming.quantecon.org/matplotlib.html
12. SciPyhttps://python-programming.quantecon.org/scipy.html
13. Numbahttps://python-programming.quantecon.org/numba.html
14. JAXhttps://python-programming.quantecon.org/jax_intro.html
15. NumPy vs Numba vs JAXhttps://python-programming.quantecon.org/numpy_vs_numba_vs_jax.html
16. Pandashttps://python-programming.quantecon.org/pandas.html
17. Pandas for Panel Datahttps://python-programming.quantecon.org/pandas_panel.html
18. Writing Good Codehttps://python-programming.quantecon.org/writing_good_code.html
19. Writing Longer Programshttps://python-programming.quantecon.org/workspace.html
20. More Language Featureshttps://python-programming.quantecon.org/python_advanced_features.html
21. Debugging and Handling Errorshttps://python-programming.quantecon.org/debugging.html
22. SymPyhttps://python-programming.quantecon.org/sympy.html
23. Troubleshootinghttps://python-programming.quantecon.org/troubleshooting.html
24. Execution Statisticshttps://python-programming.quantecon.org/status.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/intro.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/intro.ipynb

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