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Essential SQLAlchemy (2nd Edition) by Rick Copeland, Jason Myers

By Rick Copeland, Jason Myers

Dive into SQLAlchemy, the preferred, open-source code library that is helping Python programmers paintings with relational databases equivalent to Oracle, MySQL, PostgresSQL, and SQLite. utilizing real-world examples, this useful advisor exhibits you ways to construct an easy database software with SQLAlchemy, and the way to hook up with a number of databases concurrently with a similar metadata.

SQL is a robust language for querying and manipulating facts, yet it's tricky to combine it together with your program. SQLAlchemy is helping you map Python items to database tables with no considerably altering your present Python code. If you're an intermediate Python developer with wisdom of simple SQL syntax and relational idea, this publication serves as either a studying device and a convenient reference.

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Additional info for Essential SQLAlchemy (2nd Edition)

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Then we covered how to set default values and onupdate values for auditing. info base for reuse. The next step is to learn how to work with data within our schema via the SQL Expression Language. info CHAPTER 2 Working with Data via SQLAlchemy Core Now that we have tables in our database, let’s start working with data inside of those tables. We’ll look at how to insert, retrieve, and delete data, and follow that with learning how to sort, group, and use relationships in our data. We’ll be using the SQL Expression Language (SEL) provided by SQLAlchemy Core.

Fetchall() print(result) This results in: [(1, 1, 0), (2, 2, 0)] While I rarely use a full raw SQL statement, I will often use small text snippets to help make a query clearer. Example 2-31 is of a raw SQL where clause using the text() function. Example 2-31. datetime(2015, 3, 30, 13, 48, 25, 536457)) ] Now you should have an understanding of how to use the SQL Expression Language to work with data in SQLAlchemy. We explored how to create, read, update, and delete operations. This is a good point to stop and explore a bit on your own.

Ordering If you were to look at all the results from Example 2-10 instead of just the first record, you would see that the data is not really in any particular order. In this case, we want the results to be ordered by the quantity of cookies we have on hand. Example 2-11. info 1 - dark chocolate chip 12 - chocolate chip 24 - peanut butter 100 - oatmeal raisin We saved the select statement into the s variable, used that s variable and added the order_by statement to it, and then reassigned that to the s variable.

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