Python Data Persistence: With SQL and NOSQL Databases

Lathkar, Malhar

ISBN 10: 9388511751 / ISBN 13: 9789388511759

Published by BPB Publications, 2019

About this Item

SUPER FAST SHIPPING. Seller Inventory # 9789388511759

Bibliographic Details

Title: Python Data Persistence: With SQL and NOSQL ...

Publisher: BPB Publications

Publication Date: 2019

Binding: Soft cover

Condition: New

About this title

Synopsis:

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

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

About the Author
Malhar Lathkar is an Independent software professional / Programming technologies trainer/E-Learning Subject matter Expert. He is a of Director Institute of Programming Language Studies, having an academic experience of 33 years. His expertise is in Java, Python, C#, IoT, PHP, databases.

His linkedIn: linkedin.com/in/malharlathkar

His blog: indsport.blogspot.com