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He covers how to use prepared statements and cursors, how to build a wrapper class to streamline the SQL interface and support multiple different database engines, and how to build a CRUD class and a full-featured web application using what you’ve learned.
Analyze data within a database using SQL and Python. Create a relational database and work with multiple tables using DDL commands. Construct basic to intermediate level SQL queries using DML commands.
31 sie 2020 · In this article I will walk you through everything you need to know to connect Python and SQL. You'll learn how to pull data from relational databases straight into your machine learning pipelines, store data from your Python application in a database of your own, or whatever other use case you might come up with.
Beginner level. Recommended experience. Flexible schedule. Approx. 20 hours. Learn at your own pace. 94% Most learners liked this course. About. Outcomes. Modules. Recommendations. Testimonials. Reviews. What you'll learn. Analyze data within a database using SQL and Python.
In this module, you will learn how to use Python scripting techniques to work with SQL. You will create a database, store data, and query that data with SQL from Python.
What you'll learn. Work with SQL databases confidently in python applications. Build and deploy a web-based API using FastAPI and PostgreSQL. Understand cursors, transactions, connections, and query execution in depth.
This extensive series teaches you everything you need to know about using SQL with Python from enterprise databases to SQLite. Skill up and have fun!