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Designed to provide an insight into the SQL and MySQL database concepts using python
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.
KEY FEATURES
A practical approach
Ample code examples
A Quick Start Guide to Python for beginners
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. Ê Ê Getting Started
2. Ê Ê Program Flow Control
3. Ê Ê Structured Python
4. Ê Ê Python Ð OOP
5. Ê Ê File IO
6. Ê Ê Object Serialization
7. Ê Ê RDBMS Concepts
8. Ê Ê Python DB-API
9. Ê Ê Python Ð SQLAlchemy
10. Ê Python and Excel
11. Ê Python Ð PyMongo
12. Ê Python Ð Cassandra
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