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 know-how of handling databases using Python will certainly be helpful for readers pursuing a career in Data Science.
Tagline
Designed to provide an insight into the SQL and MySQL database concepts using python.
Key Features
Students and professionals who want to become proficient at database tools for a successful career in data science.
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 know-how of handling databases using Python will certainly be helpful for readers pursuing a career in Data Science.
Tagline
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
- Python basics and programming fundamentals
- Serialization libraries pickle, CSV, JSON, and XML
- DB-API and, SQLAlchemy
- Python with Excel documents
- Python with MongoDB and Cassandra
Students and professionals who want to become proficient at database tools for a successful career in data science.
