Python Data Persistence: With SQL and NOSQL Databases

Designed to provide an insight into the SQL and MySQL database concepts using python.

Key Features

A practical approach

Ample code examples

A Quick Start Guide to Python for beginners

Description
Python is becoming increasingly popular among data scientists. However, analysis and visualization tools need to interact with the data stored in various formats such as relational and NOSQL databases.
This book aims to make the reader proficient in interacting with databases such as MySQL, SQLite, MongoDB, and Cassandra.
This book assumes that the reader has no prior knowledge of programming. Hence, basic programming concepts, key concepts of OOP, serialization and data persistence have been explained in such a way that it is easy to understand. NOSQL is an emerging technology. Using MongoDB and Cassandra, the two widely used NOSQL databases are explained in detail.
The knowhow of handling databases using Python will certainly be helpful for readers pursuing a career in Data Science.

What Will You Learn

Python basics and programming fundamentals

Serialization libraries pickle, CSV, JSON, and XML

DB-AP and, SQLAlchemy

Python with Excel documents

Python with MongoDB and Cassandra

Who This Book Is For
Students and professionals who want to become proficient at database tools for a successful career in data science.

Table of Contents

Getting Started

Program Flow Control

Structured Python

Python – OOP

File IO

Object Serialization

RDBMS Concepts

Python DB-API

Python – SQLAlchemy

Python and Excel

Python – PyMongo

Python – Cassandra

Appendix A: Alternate Python Implementations
Appendix B: Alternate Python Distributions
Appendix C: Built-in Functions
Appendix D: Built-in Modules
Appendix E: Magic Methods
Appendix F: SQLite Dot Commands
Appendix G: ANSI SQL Statements
Appendix H: PyMongo API Methods
Appendix I: Cassandra CQL Shell Commands