Writing code using DB-API

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  1. Python DB-API:

    • The Python DB-API is a standard API for accessing relational databases from Python programs.
    • It allows writing a single program that works with multiple kinds of relational databases, promoting consistency and portability across databases.

  2. Advantages of DB-API:

    • Easy to implement and understand.
    • Encourages similarity between Python modules used to access databases.
    • Code is more portable across databases and has a broader reach of database connectivity from Python.

  3. Database Libraries and Corresponding DB-APIs:

    • Various database libraries are available in Python for different database systems.
    • Examples include IBM_DB for IBM DB2, mysql-connector-python for MySQL, psycopg2 for PostgreSQL, and PyMongo for MongoDB.

  4. Key Concepts in Python DB-API:

    • Connection Objects: Used to connect to a database and manage transactions.
    • Cursor Objects: Used to run queries and manage query results.
    • Cursor behaves like a file handle in a programming language, enabling traversal over records in a database.

  5. Basic Workflow using DB-API:

    • Import the database module and use the connect API to establish a connection to the database.
    • Pass parameters such as database name, username, and password to the connect constructor.
    • Use the connection object to create a cursor object, which is used to run queries and fetch results.
    • Fetch the results of the query using the cursor.
    • Close the connection to free up resources when done.

By understanding these concepts and following the workflow, you can effectively write Python code to connect to databases, execute queries, and fetch results using the DB-API.

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