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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.

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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.

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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.

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