Python Data Persistence - First Edition 2019
Python Data Persistence - First Edition 2019
Obtén acceso ilimitado con Magzter ORO
Lea Python Data Persistence junto con 8,500 y otras revistas y periódicos con solo una suscripción Ver catálogo
1 mes $9.99
1 año$99.99 $49.99
$4/mes
Suscríbete solo a Python Data Persistence
comprar esta edición $3.99
En este asunto
First Edition 2019
Python Data Persistence Magazine Description:
Editor: BPB Publications
Categoría: Academic
Idioma: English
Frecuencia: One Time
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.comDesigned 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.comDesigned 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.comDesigned 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
Cancela en cualquier momento [ Mis compromisos ]
Solo digital
