https://github.com/nafisalawalidris/databases-and-sql-for-data-science-with-python
Learn how to work with databases and SQL for data science tasks using Python. Create tables, insert data, query results, and retrieve data into pandas dataframes.
https://github.com/nafisalawalidris/databases-and-sql-for-data-science-with-python
database sql sqlite
Last synced: 3 months ago
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Learn how to work with databases and SQL for data science tasks using Python. Create tables, insert data, query results, and retrieve data into pandas dataframes.
- Host: GitHub
- URL: https://github.com/nafisalawalidris/databases-and-sql-for-data-science-with-python
- Owner: nafisalawalidris
- Created: 2023-05-09T01:07:35.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-06-07T18:47:19.000Z (over 2 years ago)
- Last Synced: 2025-01-23T07:12:15.559Z (9 months ago)
- Topics: database, sql, sqlite
- Language: Jupyter Notebook
- Homepage:
- Size: 1.64 MB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Databases-and-SQL-for-Data-Science-with-Python
## Objectives
After completing this lab, you will be able to:
- Create a database
- Create a table
- Insert data into the table
- Query data from the table
- Retrieve the result set into a pandas dataframe
- Close the database connection
SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world.
## Objectives
After completing this lab, you will be able to:
- Perform simplified database access using SQL "magic"
**Note:** This lab focuses on using SQLite and SQL for data science tasks. It covers various operations such as database creation, table creation, data insertion, querying data, retrieving results into a pandas dataframe, and closing the database connection.
Please refer to the lab notebook for detailed instructions and code implementation.