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.

SQLite

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

Зміст курсу

Databases in Python

Databases in Python

SQLite

A database is a system for storing and organizing data, allowing users to easily add, modify, and retrieve information. Data is arranged in tables or structures, making it easy to quickly access and effectively manage information. To learn how to work with databases in your Python programs, let’s first explore some fundamental database concepts.

Relational Database Management Systems (RDBMS) are systems that store data in structured formats using tables, which consist of rows and columns. This structure allows for efficient data organization and retrieval.

RDBMSs use SQL (Structured Query Language) for data management and manipulation, supporting complex queries and operations. They ensure data integrity, security, and scalability, making them suitable for handling large volumes of data and numerous transactions. Popular RDBMS examples include MySQL, PostgreSQL, Oracle Database, and Microsoft SQL Server.

For additional understanding of RDBMS, you can read this article.

Our platform offers several excellent SQL courses that might interest you.

1. Which language is used by RDBMS for data management?

2. What is a database?

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