To install SQLite3 in Ubuntu 22.04, you can execute the “ sudo apt install sqlite3 -y” command. We have provided the easiest methods related to the installation of SQLite3 in Ubuntu 22.04. quit How to Uninstall SQLite 3 in Ubuntu 22.04?įor the uninstallation of SQLite 2 from Ubuntu 22.04, run the following command: $ sudo apt purge sqlite3 -y To exit from the SQLite3 environment, we will simply use the command “. For instance, we have specified “ itsLinuxFoss” as our database name: $ sudo sqlite3 itsLinuxFoss.db Or you can use, the database name in which we want to work. Launch SQLite3 on Ubuntu 22.04: $ sudo sqlite3 ![]() Now, install SQLite3 using the following command: $ make & sudo make install ![]() Navigate the extracted folder of “ sqlite-autoconf-3390000” and compile the configuration file: $ cd sqlite-autoconf-3390000 &. Step 4: Compile SQLite3 Configuration File Now, we will extract the SQLite3 downloaded file in the newly created directory: $ tar xvfz. The purpose of making a new directory is to store the SQLite3 configuration file. Make a directory named “ SQLite3” and navigate to it: $ mkdir SQLite3 & cd SQLite3 Step 2: Create and Move to SQLite3 Directory Utilize the given “ wget” command to download SQLite 3 package: $ wget -c Step 1: Check SQLite3 package in Default Repositoryįirst, check the availability of the SQLite3 package in the default repository of Ubuntu: $ sudo apt show sqlite3Īfter verification, use the APT package manager to install the SQLite3 package on your system: $ sudo apt install sqlite3 -yĪfter SQLite 3 installation, check its version using the command: $ sqlite3 -versionĪs you can see, we have successfully installed SQLite version “ 3.72.2” on our system: Method 2: Install SQLite3 on Ubuntu through its websiteĪnother method of installing the SQLite3 on Ubuntu is downloading the installation package from the official website. You just saw how to create a database in Python using the sqlite3 package.To Install SQLite3 on Ubuntu using Default Repository, follow the provided procedure. 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
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |