René's URL Explorer Experiment


Title: 16. Pandas — Python Programming for Economics and Finance

Open Graph Title: Pandas

X Title: Pandas

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/pandas.html

X: @quantecon

direct link

Domain: python-programming.quantecon.org

twitter:cardsummary
twitter:creator@quantecon
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og:site_namePython Programming for Economics and Finance
theme-color#ffffff

Links:

16.1. Overviewhttps://python-programming.quantecon.org/pandas.html#overview
16.2. Serieshttps://python-programming.quantecon.org/pandas.html#series
16.3. DataFrameshttps://python-programming.quantecon.org/pandas.html#dataframes
16.3.1. Select Data by Positionhttps://python-programming.quantecon.org/pandas.html#select-data-by-position
16.3.2. Select Data by Conditionshttps://python-programming.quantecon.org/pandas.html#select-data-by-conditions
16.3.3. Apply Methodhttps://python-programming.quantecon.org/pandas.html#apply-method
16.3.4. Make Changes in DataFrameshttps://python-programming.quantecon.org/pandas.html#make-changes-in-dataframes
16.3.5. Standardization and Visualizationhttps://python-programming.quantecon.org/pandas.html#standardization-and-visualization
16.4. On-Line Data Sourceshttps://python-programming.quantecon.org/pandas.html#on-line-data-sources
16.4.1. Accessing Data with requestshttps://python-programming.quantecon.org/pandas.html#accessing-data-with-requests
16.4.2. Using wbgapi and yfinance to Access Datahttps://python-programming.quantecon.org/pandas.html#using-wbgapi-and-yfinance-to-access-data
16.5. Exerciseshttps://python-programming.quantecon.org/pandas.html#exercises
https://quantecon.org
https://quantecon.org
Jupyter Bookhttps://jupyterbook.org/v1/
Back to tophttps://python-programming.quantecon.org/pandas.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/pandas.md
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1a87942https://github.com/QuantEcon/lecture-python-programming.myst/commit/1a87942
#https://python-programming.quantecon.org/pandas.html#pandas
#https://python-programming.quantecon.org/pandas.html#overview
Pandashttps://pandas.pydata.org/
https://python-programming.quantecon.org/_images/pandas_vs_rest.png
NumPyhttps://numpy.org/
[1]https://python-programming.quantecon.org/pandas.html#mung
statsmodelshttps://www.statsmodels.org/
scikit-learnhttps://scikit-learn.org/
#https://python-programming.quantecon.org/pandas.html#series
#https://python-programming.quantecon.org/pandas.html#dataframes
Penn World Tableshttps://www.rug.nl/ggdc/productivity/pwt/pwt-releases/pwt-7.0
#https://python-programming.quantecon.org/pandas.html#select-data-by-position
#https://python-programming.quantecon.org/pandas.html#select-data-by-conditions
enormoushttps://developers.google.com/machine-learning/crash-course/overfitting
#https://python-programming.quantecon.org/pandas.html#apply-method
#https://python-programming.quantecon.org/pandas.html#make-changes-in-dataframes
advanced toolshttps://scikit-learn.org/stable/modules/impute.html
#https://python-programming.quantecon.org/pandas.html#standardization-and-visualization
#https://python-programming.quantecon.org/pandas.html#on-line-data-sources
FREDhttps://fred.stlouisfed.org/
unemployment ratehttps://fred.stlouisfed.org/series/UNRATE
#https://python-programming.quantecon.org/pandas.html#accessing-data-with-requests
requestshttps://requests.readthedocs.io/en/latest/
the documentationhttps://requests.readthedocs.io/en/latest/
a wide varietyhttps://pandas.pydata.org/pandas-docs/stable/user_guide/io.html
#https://python-programming.quantecon.org/pandas.html#using-wbgapi-and-yfinance-to-access-data
wbgapihttps://pypi.org/project/wbgapi/
wbgapihttps://pypi.org/project/wbgapi/
world bank blog posthttps://blogs.worldbank.org/en/opendata/introducing-wbgapi-new-python-package-accessing-world-bank-data
tutorialhttps://github.com/tgherzog/wbgapi/blob/master/examples/wbgapi-quickstart.ipynb
yfinancehttps://pypi.org/project/yfinance/
collects and organizes datahttps://data.worldbank.org/indicator
here’shttps://data.worldbank.org/indicator/GC.DOD.TOTL.GD.ZS
#https://python-programming.quantecon.org/pandas.html#exercises
https://python-programming.quantecon.org/_images/pandas_share_prices.png
Exercise 16.1https://python-programming.quantecon.org/pandas.html#pd_ex1
https://python-programming.quantecon.org/_images/pandas_indices_pctchange.png
Exercise 16.1https://python-programming.quantecon.org/pandas.html#pd_ex1
1https://python-programming.quantecon.org/pandas.html#id1
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/pandas.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/pandas.ipynb

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