How Does Python Store Data in Database?

Python is a high-level, interpreted, general-purpose programming language, created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, “There’s only one way to do it, and that’s why it works.”

In Python, everything is an object. This includes numbers (integers and floating point), strings, lists (which are like arrays), dictionaries (associative arrays), and even files. You can create your own objects using Python classes.

When you store data in a database using Python, the Python interpreter converts your data into an internal format called pickles. Pickles are just like any other object in Python; they can be stored in memory or on disk. When you want to retrieve your data from the database, the pickle is converted back into the original data type (such as a string or an integer).

Establish a connection with the database of your choice

Python supports various databases like MySQL, Oracle, Sybase, Postgresql, etc. You can choose any database of your choice to work with Python. In order to establish a connection with the database, you need to use a library that supports your chosen database. For example, if you want to work with MySQL database, you need to download and install the mysql-connector-python library. This library will provide APIs that you can use in your Python code to connect and interact with the MySQL database.

Create a function to convert digital data into binary

Python stores data in database using a simple function to convert digital data into binary. This is done by representing each character as a bitset, where each bit corresponds to one character. The first step is to create an empty bitset with the same size as the number of characters in the digital data. Then, we loop through each character in the data and set the corresponding bit in the bitset. Finally, we return the bitset as a string.

Execute the INSERT query and commit changes

When a user executes the INSERT query, Python stores the data in the database. The data is first converted into a format that can be stored in the database. The data is then stored in the database.

Catch SQL exceptions if any

If you are using Python to access a database, it is important to catch any exceptions that may occur. This will ensure that your program doesn’t crash if there is an error in the database.

There are two ways to catch exceptions in Python. The first is to use a “try/except” block. This will try to execute the code in the “try” block and if an exception occurs, it will be caught by the “except” block. The second way is to use a “context manager”. This will automatically close the connection to the database if an exception occurs.

Here is an example of using a try/except block:

try: cursor.execute(“INSERT INTO table (col1, col2) VALUES (%s, %s)”, (val1, val2)) db.commit() except MySQLdb.Error as e: print(e)