@@ -77,7 +77,7 @@ countries and assign it to `realwage`.
7777The dataset can be accessed with the following link:
78787979```{code-cell} ipython3
80-url1 = 'https://raw.githubusercontent.com/QuantEcon/lecture-python/master/source/_static/lecture_specific/pandas_panel/realwage.csv'
80+url1 = 'https://raw.githubusercontent.com/QuantEcon/lecture-python-programming/main/lectures/_static/lecture_specific/pandas_panel/realwage.csv'
8181```
82828383```{code-cell} ipython3
@@ -197,7 +197,7 @@ function.
197197The dataset can be accessed with the following link:
198198199199```{code-cell} ipython3
200-url2 = 'https://raw.githubusercontent.com/QuantEcon/lecture-python/master/source/_static/lecture_specific/pandas_panel/countries.csv'
200+url2 = 'https://raw.githubusercontent.com/QuantEcon/lecture-python-programming/main/lectures/_static/lecture_specific/pandas_panel/countries.csv'
201201```
202202203203```{code-cell} ipython3
@@ -506,7 +506,7 @@ in Europe by age and sex from [Eurostat](https://ec.europa.eu/eurostat/data/data
506506The dataset can be accessed with the following link:
507507508508```{code-cell} ipython3
509-url3 = 'https://raw.githubusercontent.com/QuantEcon/lecture-python/master/source/_static/lecture_specific/pandas_panel/employ.csv'
509+url3 = 'https://raw.githubusercontent.com/QuantEcon/lecture-python-programming/main/lectures/_static/lecture_specific/pandas_panel/employ.csv'
510510```
511511512512Reading in the CSV file returns a panel dataset in long format. Use `.pivot_table()` to construct