Search results
25 lut 2016 · sql-metadata is a Python library that uses a tokenized query returned by python-sqlparse and generates query metadata. This metadata can return column and table names from your supplied SQL query. Here are a couple of example from the sql-metadata github readme:
12 sie 2014 · If you want to create a list of the column names, you can use list comprehension like this: column_names = [i[0] for i in cursor.description] then do with them whatever you'd like. Alternatively, you can set the row_factory parameter of the connection object to
16 kwi 2024 · Database naming conventions are the rules for naming diverse elements within a database: tables, columns, indexes, constraints, and various other objects. Although there are various conventions in practice, we can formulate general guidelines and principles.
In this tutorial, you'll learn how to store and retrieve data using Python, SQLite, and SQLAlchemy as well as with flat files. Using SQLite with Python brings with it the additional benefit of accessing data with SQL. By adding SQLAlchemy, you can work with data in terms of objects and methods.
6 lut 2024 · Retrieving column names from a SQLite table using the sqlite3 module in Python is a task that ranges from straightforward implementations to more complex schemes that provide detailed metadata. Whether you’re simply listing the column names or exploring the deeper aspects of your database schema, Python and SQLite offer robust and flexible ...
11 maj 2023 · The pandasql Python library allows querying pandas dataframes by running SQL commands without having to connect to any SQL server. Under the hood, it uses SQLite syntax , automatically detects any pandas dataframe, and treats it as a regular SQL table.
The library will guess which tables you wish to reference based on the column names using the rules described in Adding foreign key constraints. You can also be more explicit, by passing in a list of tuples:
