Python Data Persistence: With Sql And Nosql Databases

Malhar Lathkar



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 from this book

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
1. Getting Started
2. Program Flow Control
3. Structured Python
4. Python – OOP
5. File IO
6. Object Serialization
7. RDBMS Concepts
8. Python DB-API
9. Python – SQLAlchemy
10. Python and Excel
11. Python – PyMongo
12. 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

Language English
ISBN-10 978-9388511759
ISBN-13 978-9388511759
No of pages 363
Book Publisher BPB Publications
Published Date 16 Aug 2019

About Author

Author : Malhar Lathkar


Key Features
● A practical approach
● Ample code examples
● A Quick Start Guide to Python for beginners

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