Databases in Python

Databases in Python

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1. Introduction to SQLite

Whether you're new to databases or want to master SQLite, this course will teach you the essentials. You'll learn data management, and how to use SQLite effectively.

What is SQLite3 Library?

Connecting to Database

Creating a Simple Table

Challenge: First Table

2. CRUD

CRUD (Create, Read, Update, Delete) are the foundational operations in working with databases. This section is your gateway to mastering these core database functions. In the "CRUD Operations" section, we will delve into creating, retrieving, updating, and deleting data in a database. You will gain the skills needed to interact with databases effectively, making it an essential tool for your software development journey.

Creation Operations

Read Operations

Update Operations

Delete Operations

3. More About SQLite

Congratulations on reaching the final section of this course! You've come a long way in your journey to learn and master the content covered. In this concluding section, we'll summarize key takeaways, reinforce your knowledge, and provide guidance on what you can do next. You've acquired valuable skills and insights, and now it's time to reflect on your achievements and explore how to apply your newfound knowledge effectively.

Challenge: Table Design

4. SQLAlchemy

Learn how to interact with databases in Python using SQLAlchemy, a powerful Object-Relational Mapping (ORM) tool. This section covers setting up connections, defining models, and performing essential CRUD operations (Create, Read, Update, Delete). You'll discover how to write cleaner, more efficient code without relying on raw SQL queries. Mastering SQLAlchemy will streamline database management and enhance the scalability of your Python applications.

Object–Relational Mapping

Getting Started with SQLAlchemy

Creating Your First Model

Building SQLAlchemy Objects

Reading from DB

Deleting from DB

Course Content

Databases in Python

Databases in Python

What is SQLite3 Library?

SQL dialects are variations of SQL (Structured Query Language) developed by different database vendors. While all are based on standard SQL, each dialect has unique features, additional functions, or specific syntax elements. This allows for the use of specialized capabilities in certain database management systems (DBMS).

SQLite3 Library

In this course, we will use the Python library sqlite3 to work with SQLite databases. It is a very convenient library because it is one of Python's standard libraries, and we don't need to install anything extra to work with it.

The key features and capabilities of the sqlite3 library include:

Connecting to a Database: you can establish a connection to an SQLite database and open it for further operations;
Creating Tables: you can create new tables in the database, defining their schemas and columns;
Executing SQL Queries: you can execute SQL queries, such as SELECT, INSERT, UPDATE, and DELETE, to retrieve, update, and delete data from tables;
Parameterized Queries: you can use parameterized queries for safely inserting data into tables and preventing SQL injection;
Transactions: the sqlite3 library supports transactions, allowing you to group multiple operations into a single atomic operation;
Reading and Writing Database Files: you can read and write SQLite database files;
Exception Handling: the library provides mechanisms for handling errors and exceptions during interactions with the database.

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Section 1. Chapter 2

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