René's URL Explorer Experiment


Title: 6. OOP I: Objects and Methods — Python Programming for Economics and Finance

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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/oop_intro.html

X: @quantecon

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6.1. Overviewhttps://python-programming.quantecon.org/oop_intro.html#overview
6.2. Objectshttps://python-programming.quantecon.org/oop_intro.html#objects
6.2.1. Typehttps://python-programming.quantecon.org/oop_intro.html#type
6.2.2. Identityhttps://python-programming.quantecon.org/oop_intro.html#identity
6.2.3. Object Content: Data and Attributeshttps://python-programming.quantecon.org/oop_intro.html#object-content-data-and-attributes
6.2.4. Methodshttps://python-programming.quantecon.org/oop_intro.html#methods
6.3. Inspection Using Richhttps://python-programming.quantecon.org/oop_intro.html#inspection-using-rich
6.4. A Little Mysteryhttps://python-programming.quantecon.org/oop_intro.html#a-little-mystery
6.5. Summaryhttps://python-programming.quantecon.org/oop_intro.html#summary
6.6. Exerciseshttps://python-programming.quantecon.org/oop_intro.html#exercises
https://quantecon.org
https://quantecon.org
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Back to tophttps://python-programming.quantecon.org/oop_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/
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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/oop_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/oop_intro.ipynb

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