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Title: 12. SciPy — Python Programming for Economics and Finance

Open Graph Title: SciPy

X Title: SciPy

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/scipy.html

X: @quantecon

direct link

Domain: python-programming.quantecon.org

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Links:

12.1. Overviewhttps://python-programming.quantecon.org/scipy.html#overview
12.2. SciPy versus NumPyhttps://python-programming.quantecon.org/scipy.html#scipy-versus-numpy
12.3. Statisticshttps://python-programming.quantecon.org/scipy.html#statistics
12.3.1. Random Variables and Distributionshttps://python-programming.quantecon.org/scipy.html#random-variables-and-distributions
12.3.2. Alternative Syntaxhttps://python-programming.quantecon.org/scipy.html#alternative-syntax
12.3.3. Other Goodies in scipy.statshttps://python-programming.quantecon.org/scipy.html#other-goodies-in-scipy-stats
12.4. Roots and Fixed Pointshttps://python-programming.quantecon.org/scipy.html#roots-and-fixed-points
12.4.1. Bisectionhttps://python-programming.quantecon.org/scipy.html#bisection
12.4.2. The Newton-Raphson Methodhttps://python-programming.quantecon.org/scipy.html#the-newton-raphson-method
12.4.3. Hybrid Methodshttps://python-programming.quantecon.org/scipy.html#hybrid-methods
12.4.4. Multivariate Root-Findinghttps://python-programming.quantecon.org/scipy.html#multivariate-root-finding
12.4.5. Fixed Pointshttps://python-programming.quantecon.org/scipy.html#fixed-points
12.5. Optimizationhttps://python-programming.quantecon.org/scipy.html#optimization
12.5.1. Multivariate Optimizationhttps://python-programming.quantecon.org/scipy.html#multivariate-optimization
12.6. Integrationhttps://python-programming.quantecon.org/scipy.html#integration
12.7. Linear Algebrahttps://python-programming.quantecon.org/scipy.html#linear-algebra
12.8. Exerciseshttps://python-programming.quantecon.org/scipy.html#exercises
https://quantecon.org
https://quantecon.org
Jupyter Bookhttps://jupyterbook.org/v1/
Back to tophttps://python-programming.quantecon.org/scipy.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/scipy.md
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#https://python-programming.quantecon.org/scipy.html#scipy
#https://python-programming.quantecon.org/scipy.html#overview
SciPyhttps://scipy.org/
linear algebrahttps://docs.scipy.org/doc/scipy/reference/linalg.html
numerical integrationhttps://docs.scipy.org/doc/scipy/reference/integrate.html
interpolationhttps://docs.scipy.org/doc/scipy/reference/interpolate.html
optimizationhttps://docs.scipy.org/doc/scipy/reference/optimize.html
distributions and random number generationhttps://docs.scipy.org/doc/scipy/reference/stats.html
signal processinghttps://docs.scipy.org/doc/scipy/reference/signal.html
LAPACKhttps://en.wikipedia.org/wiki/LAPACK
BLAShttps://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms
documentationhttps://docs.scipy.org/doc/scipy/reference/index.html
#https://python-programming.quantecon.org/scipy.html#scipy-versus-numpy
#https://python-programming.quantecon.org/scipy.html#statistics
#https://python-programming.quantecon.org/scipy.html#random-variables-and-distributions
#https://python-programming.quantecon.org/scipy.html#equation-betadist2
scipy.statshttps://docs.scipy.org/doc/scipy/reference/stats.html
#https://python-programming.quantecon.org/scipy.html#alternative-syntax
#https://python-programming.quantecon.org/scipy.html#other-goodies-in-scipy-stats
documentationhttps://docs.scipy.org/doc/scipy/reference/stats.html#statistical-functions-scipy-stats
#https://python-programming.quantecon.org/scipy.html#roots-and-fixed-points
#https://python-programming.quantecon.org/scipy.html#equation-root-f
#https://python-programming.quantecon.org/scipy.html#bisection
(12.2)https://python-programming.quantecon.org/scipy.html#equation-root-f
(12.2)https://python-programming.quantecon.org/scipy.html#equation-root-f
#https://python-programming.quantecon.org/scipy.html#the-newton-raphson-method
Newton-Raphson methodhttps://en.wikipedia.org/wiki/Newton%27s_method
#https://python-programming.quantecon.org/scipy.html#hybrid-methods
#https://python-programming.quantecon.org/scipy.html#multivariate-root-finding
documentationhttps://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.fsolve.html
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documentationhttps://docs.scipy.org/doc/scipy/reference/optimize.html
#https://python-programming.quantecon.org/scipy.html#integration
Clenshaw-Curtis quadraturehttps://en.wikipedia.org/wiki/Clenshaw-Curtis_quadrature
documentationhttps://docs.scipy.org/doc/scipy/reference/integrate.html
#https://python-programming.quantecon.org/scipy.html#linear-algebra
set of available routineshttps://docs.scipy.org/doc/scipy/reference/linalg.html
#https://python-programming.quantecon.org/scipy.html#exercises
log-normalhttps://en.wikipedia.org/wiki/Log-normal_distribution
this lecturehttps://python-programming.quantecon.org/functions.html#functions
recursive function callshttps://python-programming.quantecon.org/functions.html#recursive-functions
described abovehttps://python-programming.quantecon.org/scipy.html#bisect-func
(12.2)https://python-programming.quantecon.org/scipy.html#equation-root-f
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/scipy.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/scipy.ipynb

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