Wafama / SQLAlchemy

SQLAlchemy Core Analysis of E-Commerce Dataset

SQLAlchemy Core Analysis of E-Commerce Dataset

Introduction

• This repository contains a Jupyter notebook designed to practice basic SQLAlchemy Core functions using a custom E-Commerce dataset. SQLAlchemy Core can interact directly with SQL expressions and database structures, allowing for fine-grained control over database queries and operations.
• This notebook's core focus is on demonstrating how to create tables, insert, update, and delete records in a SQLite database using SQLAlchemy Core. The E-Commerce dataset is used for practical exercises in database manipulation.

Contents

• Ecommerce_SQLAlchemy_Core.ipynb: Jupyter notebook with SQLAlchemy Core operations on the E-Commerce dataset.

Prerequisites

To run the notebook, you need to have the following software installed:

• Python 3.11
• Jupyter Notebook
• Required Python packages: pandas==2.1.4 sqlalchemy==2.0.25

Usage

• Create Tables: The notebook demonstrates how to define and create tables for an E-Commerce dataset, including user, order, product, and payment tables.
• Insert Data:Learn how to insert sample data into these tables.
• Update Data: Perform updates on the data, such as modifying product prices or user details.
• Delete Data: Delete records based on specific criteria, like removing outdated orders or users.