Database Programming with Python

By Tom Lesley

Database Programming with Python is a comprehensive guide to mastering the essential skills of database programming in Python. This book will teach you how to interact with databases using Python, using popular libraries such as SQLite, MySQL, and PostgreSQL.

 

The book begins with an introduction to the basics of databases and SQL, before diving into the specifics of using Python to interact with databases. It covers topics such as creating tables, inserting and retrieving data, working with joins, and more.

 

You will also learn how to work with different types of databases and how to choose the right database for your needs. The book includes a detailed discussion of relational databases, non-relational databases, and the pros and cons of each.

 

Throughout the book, you will learn how to use Python to perform common database programming tasks such as building web applications, working with data analysis tools, and automating data entry.

 

Whether you are a beginner or an experienced programmer, this book will provide you with the knowledge and skills you need to become a proficient database programmer in Python. With clear explanations and practical examples, you will gain a thorough understanding of how to work with databases using Python.

• Language: English
• Publisher: May Reads
• Release date: Apr 28, 2024
• ISBN: 9798224184644

Book preview

Tom Lesley

Table of Content

I. Introduction

A. Overview of database programming with Python

B. Benefits of using Python for database programming

C. Overview of popular databases and their compatibility with Python

II. Basic Database Concepts

A. Introduction to databases

B. Data types and their representation in databases

C. Relational database management system (RDBMS)

D. SQL queries and their syntax

III. SQLite

A. Introduction to SQLite

B. Installing SQLite and SQLite libraries in Python

C. Creating databases and tables in SQLite

D. Inserting and retrieving data in SQLite E. Updating and deleting data in SQLite

IV. MySQL

A. Introduction to MySQL

B. Installing MySQL and MySQL libraries in Python

C. Creating databases and tables in MySQL

D. Inserting and retrieving data in MySQL

E. Updating and deleting data in MySQL

F. Managing transactions and concurrency in MySQL

V. PostgreSQL

A. Introduction to PostgreSQL

B. Installing PostgreSQL and PostgreSQL libraries in Python

C. Creating databases and tables in PostgreSQL

D. Inserting and retrieving data in PostgreSQL

E. Updating and deleting data in PostgreSQL

F. Managing transactions and concurrency in PostgreSQL

VI. Object-Relational Mapping (ORM)

A. Introduction to ORM

B. Benefits of using ORM in Python

C. Using SQLAlchemy for ORM in Python

D. Creating tables and mapping classes using SQLAlchemy

E. Performing CRUD operations using SQLAlchemy

VII. Advanced Database Concepts

A. Introduction to advanced database concepts

B. Managing database connections and pooling

C. Database normalization and optimization

D. Backup and recovery of databases

E. Introduction to NoSQL databases

VIII. Web Applications and Database Programming

A. Introduction to web applications and database programming

B. Using web frameworks for database programming

C. Handling requests and responses

D. Rendering templates

E. Managing user authentication and authorization

IX. Case Studies

A. Case study 1: Building a simple blog using SQLite

B. Case study 2: Building a job board using MySQL

C. Case study 3: Building a social network using PostgreSQL

X. Conclusion

A. Recap of key concepts and tools learned

B. Best practices for database programming with Python

C. Next steps for further learning and exploration of Python database programming

I. Introduction

A. Overview of database programming with Python

Database programming with Python is the process of connecting and interacting with databases using Python programming language. Python offers a range of libraries and frameworks for working with databases, making it a popular choice for developers who want to build database-driven applications. This book provides a comprehensive introduction to database programming with Python, covering everything from the basics of database systems to advanced topics such as data modeling, database design, and query optimization.

The book covers the three most popular relational database systems: SQLite, MySQL, and PostgreSQL. Each of these systems has its own unique features and benefits, and the book provides detailed instructions on how to work with each of them using Python. In addition to these three systems, the book also covers non-relational databases such as MongoDB.

Whether you are a beginner or an experienced Python developer, this book provides the knowledge and skills needed to work with databases in Python. The book is designed to be practical and hands-on, with numerous examples and exercises to help you apply what you learn. By the end of the book, you will have a solid understanding of database programming with Python and be able to build database-driven applications with confidence.

B. Benefits of using Python for database programming

Python is a general-purpose programming language that is highly popular among data scientists and developers. It is an interpreted language that is easy to learn, write and maintain, making it a popular choice for developers for a wide range of applications, including database programming. Here are some of the benefits of using Python for database programming:

Easy to learn: Python is a high-level language that is easy to learn and write. It has a simple syntax, which makes it easy for beginners to get started with programming.

Large community: Python has a large and active community of developers who are constantly contributing to the development of new libraries and frameworks. This makes it easy to find answers to any questions you may have or to get help from the community.

Cross-platform: Python is a cross-platform language, which means it can run