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Title: 3. An Introductory Example — Python Programming for Economics and Finance

Open Graph Title: An Introductory Example

X Title: An Introductory Example

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/python_by_example.html

X: @quantecon

direct link

Domain: python-programming.quantecon.org

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Links:

3.1. Overviewhttps://python-programming.quantecon.org/python_by_example.html#overview
3.2. The Task: Plotting a White Noise Processhttps://python-programming.quantecon.org/python_by_example.html#the-task-plotting-a-white-noise-process
3.3. Version 1https://python-programming.quantecon.org/python_by_example.html#version-1
3.3.1. Importshttps://python-programming.quantecon.org/python_by_example.html#imports
3.3.1.1. Why So Many Imports?https://python-programming.quantecon.org/python_by_example.html#why-so-many-imports
3.3.1.2. Packageshttps://python-programming.quantecon.org/python_by_example.html#packages
3.3.1.3. Subpackageshttps://python-programming.quantecon.org/python_by_example.html#subpackages
3.3.2. Importing Names Directlyhttps://python-programming.quantecon.org/python_by_example.html#importing-names-directly
3.3.3. Random Drawshttps://python-programming.quantecon.org/python_by_example.html#random-draws
3.4. Alternative Implementationshttps://python-programming.quantecon.org/python_by_example.html#alternative-implementations
3.4.1. A Version with a For Loophttps://python-programming.quantecon.org/python_by_example.html#a-version-with-a-for-loop
3.4.2. Listshttps://python-programming.quantecon.org/python_by_example.html#lists
3.4.3. The For Loophttps://python-programming.quantecon.org/python_by_example.html#the-for-loop
3.4.4. A Comment on Indentationhttps://python-programming.quantecon.org/python_by_example.html#a-comment-on-indentation
3.4.5. While Loopshttps://python-programming.quantecon.org/python_by_example.html#while-loops
3.5. Another Applicationhttps://python-programming.quantecon.org/python_by_example.html#another-application
3.6. Exerciseshttps://python-programming.quantecon.org/python_by_example.html#exercises
https://quantecon.org
https://quantecon.org
Jupyter Bookhttps://jupyterbook.org/v1/
Back to tophttps://python-programming.quantecon.org/python_by_example.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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lecturehttps://python-programming.quantecon.org/getting_started.html
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https://python-programming.quantecon.org/_images/test_program_1_updated.png
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#https://python-programming.quantecon.org/python_by_example.html#imports
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#https://python-programming.quantecon.org/python_by_example.html#why-so-many-imports
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f-Stringhttps://docs.python.org/3/tutorial/inputoutput.html#tut-f-strings
Monte Carlohttps://en.wikipedia.org/wiki/Monte_Carlo_method
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/python_by_example.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/python_by_example.ipynb

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