How to Use SQL Databases with Python: A Beginner-Friendly Tutorial
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This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a database, and perform basic operations such as creating, reading, updating, and deleting records.PrerequisitesBefore you start, ensure you have the following installed:Python: Make sure Python is installed on your machine. You can download it from python.org.MySQL Server: You will need to have MySQL installed on your system to interact with it directly, run the commands, and set up the user permissions.Heres how you can install MySQL on your system:Install MySQL (if not already installed):Start MySQL service:Secure the installation (sets up the root password and other settings):Access MySQL: Once MySQL is installed, you can log in to the MySQL shell:MySQL Connector for Python: Install the MySQL connector using pip. Open your command line and run:Setting Up Your Python EnvironmentImport Required LibrariesEstablish a Connection to the DatabaseCreating a DatabaseTo create a new database, execute the following commands:Creating TablesOnce the database is created, you need to create tables within it. Heres how to create a simple teacher table:Inserting Data into TablesTo insert data into your teacher table, use the following code:Reading Data from TablesTo read data from the teacher table:Updating RecordsTo update an existing record in the table:Deleting RecordsTo delete a record from the table:Closing the ConnectionFinally, dont forget to close your cursor and connection once youre done:ConclusionThis tutorial covers the basics of using SQL databases with Python. You learned how to set up your environment, create a database and tables, and perform basic CRUD (Create, Read, Update, Delete) operations. For more advanced topics like using SQL with Pandas or exploring different SQL databases like SQLite or PostgreSQL, consider checking out additional tutorials or courses. Feel free to experiment with more complex queries and database structures as you become more comfortable with SQL and Python! NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/Cloning, Forking, and Merging Repositories on GitHub: A Beginners GuideNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces a Latent Token Approach: Enhancing LLM Reasoning Efficiency with VQ-VAE CompressionNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces R1-Onevision: A Cross-Modal Formalization Model for Advancing Multimodal Reasoning and Structured Visual InterpretationNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper from Columbia University Introduces Manify: A Python Library for Non-Euclidean Representation Learning
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