In Python scientific computing, how do I store results in a database?

In Python scientific computing, you can store results in a database using libraries like SQLite, SQLAlchemy, or pandas in conjunction with an SQL database. This allows you to save your computation results systematically for future retrieval and analysis.

Python, SQLite, SQLAlchemy, Scientific Computing, Database Storage, Data Persistence

This content explains how to use Python to store scientific computing results in a database, highlighting libraries and techniques.

import sqlite3 # Connect to a SQLite database (or create it) conn = sqlite3.connect('results.db') # Create a cursor c = conn.cursor() # Create a table to store results c.execute('''CREATE TABLE IF NOT EXISTS results (id INTEGER PRIMARY KEY AUTOINCREMENT, computation TEXT, result REAL)''') # Function to insert a result def insert_result(computation, result): c.execute("INSERT INTO results (computation, result) VALUES (?, ?)", (computation, result)) conn.commit() # Example usage insert_result('2 + 2', 4.0) # Close the connection conn.close()

Python SQLite SQLAlchemy Scientific Computing Database Storage Data Persistence

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