![]() ![]() db.execute("INSERT INTO users (name, age, fav_food) VALUES(?, ?, ?)", "eesa", 14, "pizza") You can use the INSERT operation to add a user. If the table users doesn’t exist, create a table with the name users, with the column names name, age, and fav_food, with the data types for each value specified. To break this down, db is the database that the data is written to. The code for this is: db.execute("CREATE TABLE IF NOT EXISTS users (name TEXT, age NUMBER, fav_food STRING)") SQL stores data in tables, which are similar to tables found in Excel or Google Sheets. The next step is to create a table in the database. The first step is to create a database.db file in the root directory, which you can do by entering the following command in the terminal: touch database.dbĪt this point, the following code should be added to main.py: from cs50 import SQL I’ll be using CS50’s SQL library, which you can install by running pip3 install cs50. I’m using Replit’s online IDE, but you are welcome to follow along on any IDE you like.įirst, I’ll create a Python project with a main.py file. Here is an example of using SQLite with Python. It’s more useful to learn, in case you are ever tasked with using SQL or MySQL in the future.It’s lightweight, so it performs better and faster than reading from a CSV file.C is a statically-typed, compiled language which is much faster than most languages, including Python. But SQLite has many advantages over using a CSV file: Therefore, it is extremely fast and can efficiently handle complex queries.Ī SQLite database is stored as a disk file, similar to a CSV (comma-separated values) file. SQLite is an embedded SQL (Structured Query Language) database engine library that works with many languages.Īccording to the official website, SQL text is compiled into bytecode, which is then run by a virtual machine. This tutorial will explain many basic concepts and simple operations, so that you can understand how to work with databases better. ![]() Many software developer positions involve working with databases, and if you ever consider creating a full-scale application (such as a social media app or an online game), you'll definitely need a database too. Learning SQLite is a great way to learn how databases operate and how to perform basic CRUD (create, read, update, delete) operations. In this tutorial, you'll learn how to use SQLite with Python. After all, we need to collect data in a location where we can digitally access it for reading, writing, updating, and deleting. You just saw how to create a database in Python using the sqlite3 package.Databases are a crucial component in software development. You’ll then get the following results: product_name price LEFT JOIN prices b ON a.product_id = b.product_idĭf = pd.DataFrame(c.fetchall(), columns=) You can then run the following code to display the results in Pandas DataFrame: import sqlite3 INSERT INTO products (product_id, product_name)įor the final step, let’s join the ‘ products‘ table with the ‘ prices‘ table using the product_id column which is present in both tables. ![]() Here is the complete code to insert the values into the 2 tables: import sqlite3 Let’s also insert the following data into the ‘ prices‘ table: product_id ![]() Step 2: Insert values into the tablesįor this step, let’s insert the following data into the ‘ products‘ table: product_id Once you run the above script in Python, a new file, called test_database, would be created at the same location where you saved your Python script. Here are the columns to be added for the 2 tables: Table Nameīelow is the script that you can use in order to create the database and the 2 tables using sqlite3: import sqlite3 nnect('database_name') Steps to Create a Database in Python using sqlite3 Step 1: Create the Database and Tables Create a database and tables using sqlite3īut before we begin, here is a simple template that you can use to create your database using sqlite3: import sqlite3.In this guide, you’ll see a complete example with the steps to create a database in Python using sqlite3. ![]()
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