This Python script uses SQL to create a table with two columns: "DataSource" and "URL", and adds a list of data sources and their URLs to the table. This can be useful for keeping track of data sources and their corresponding URLs, and for quickly querying the table to find specific data sources.
To run this script, you'll need the following:
- Python 3.x
- SQLite 3.x (or another SQL database if you modify the script)
- Clone this repository or download the
sql_data_sources.py
file. - Open the
sql_data_sources.py
file in a text editor. - Modify the placeholders for the database name, username, and password with your own values if necessary.
- Modify the
data_sources
list to add or remove data sources and their corresponding URLs. - Save the changes to the
sql_data_sources.py
file. - Open a terminal or command prompt.
- Navigate to the directory where the
sql_data_sources.py
file is located. - Run the script using the command
python sql_data_sources.py
. - The script will create a table called "DataSources" with two columns ("DataSource" and "URL"), and insert the data sources and URLs from the
data_sources
list into the table. - You can now use SQL to query the "DataSources" table to find specific data sources.