csvbase is a website for hosting table data. Exporting this table to pandas is dead easy, run:
import pandas as pd; stock_exchanges = pd.read_csv("https://csvbase.com/meripaterson/stock-exchanges")
The world's stock exchanges, with continents, countries and MIC codes
| Row ID | Continent | Country | Name | MIC | Last changed |
|---|---|---|---|---|---|
| 11 | North America | Curacao | Dutch Caribbean Securities Exchange | DCSX | 2017-09-12 |
| 12 | North America | Canada | NEO | NEOE | 2017-09-06 |
| 13 | North America | Canada | Canadian Securities Exchange | CNSX? | 2017-09-06 |
| 14 | Western Europe | Germany | XETRA | XETR | 2017-08-21 |
| 15 | Western Europe | France | Euronext Paris | XPAR | 2017-08-19 |
| 16 | Western Europe | United Kingdom | Euronext London | XLDN | 2017-08-19 |
| 17 | Eastern Europe | Albania | Tirana Stock Exchange | XTIR | 2017-08-16 |
| 18 | Africa | Algeria | Bourse d'Alger | XALG | 2017-08-16 |
| 19 | Africa | Angola | BODIVA | XBDV | 2017-08-16 |
| 20 | South America | Argentina | Buenos Aires Stock Exchange | XBUE | 2017-08-16 |