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Title: 18. Writing Good Code — Python Programming for Economics and Finance

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X Title: Writing Good Code

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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/writing_good_code.html

X: @quantecon

direct link

Domain: python-programming.quantecon.org

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Links:

18.1. Overviewhttps://python-programming.quantecon.org/writing_good_code.html#overview
18.2. An Example of Poor Codehttps://python-programming.quantecon.org/writing_good_code.html#an-example-of-poor-code
18.3. Good Coding Practicehttps://python-programming.quantecon.org/writing_good_code.html#good-coding-practice
18.3.1. Don’t Use Magic Numbershttps://python-programming.quantecon.org/writing_good_code.html#don-t-use-magic-numbers
18.3.2. Don’t Repeat Yourselfhttps://python-programming.quantecon.org/writing_good_code.html#don-t-repeat-yourself
18.3.3. Minimize Global Variableshttps://python-programming.quantecon.org/writing_good_code.html#minimize-global-variables
18.3.3.1. JIT Compilationhttps://python-programming.quantecon.org/writing_good_code.html#jit-compilation
18.3.4. Use Functions or Classeshttps://python-programming.quantecon.org/writing_good_code.html#use-functions-or-classes
18.3.4.1. Which One, Functions or Classes?https://python-programming.quantecon.org/writing_good_code.html#which-one-functions-or-classes
18.4. Revisiting the Examplehttps://python-programming.quantecon.org/writing_good_code.html#revisiting-the-example
18.5. Exerciseshttps://python-programming.quantecon.org/writing_good_code.html#exercises
https://quantecon.org
https://quantecon.org
Jupyter Bookhttps://jupyterbook.org/v1/
Back to tophttps://python-programming.quantecon.org/writing_good_code.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/writing_good_code.md
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(18.1)https://python-programming.quantecon.org/writing_good_code.html#equation-gc-solmod
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#https://python-programming.quantecon.org/writing_good_code.html#don-t-repeat-yourself
this pagehttps://code.tutsplus.com/3-key-software-principles-you-must-understand--net-25161t
#https://python-programming.quantecon.org/writing_good_code.html#minimize-global-variables
useful discussion on the topichttps://wiki.c2.com/?GlobalVariablesAreBad
#https://python-programming.quantecon.org/writing_good_code.html#jit-compilation
we’ve seen in previous lectureshttps://python-programming.quantecon.org/numba.html
#https://python-programming.quantecon.org/writing_good_code.html#use-functions-or-classes
#https://python-programming.quantecon.org/writing_good_code.html#which-one-functions-or-classes
#https://python-programming.quantecon.org/writing_good_code.html#revisiting-the-example
#https://python-programming.quantecon.org/writing_good_code.html#exercises
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/writing_good_code.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/writing_good_code.ipynb

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