Data analysis is an essential skill to have for young graduates, engineers, and managers in today’s technology-led work environment. In this article, we will cover how to fetch data from a database in python and get you up to speed on some fundamental concepts.

**Data Extraction with Python Database **

Data extraction entails retrieving data from various sources, and sometimes processing it further, and migrating it to repositories for further analysis. So, some kind of data transformation happens in the process. And python is one of the leading programming languages for such data science tasks. There are about 8.2 million users of this general-purpose and scripting language across the world.

In the following guide, we will discuss extraction methods using PostgreSQL, an open-source relational database system. It provides a ROW_TO_JSON function that returns the result sets as JSON objects, which are surrounded by curly braces {}. JSON data types would help you manipulate query results more conveniently. But before we begin, make sure that you have installed a virtual environment, such as psycopg2-binary.

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