Python Data Persistence Malhar Lathkar
- Autor:
- Malhar Lathkar
- Wydawnictwo:
- BPB Publications
- Ocena:
- Stron:
- 310
- Dostępne formaty:
-
ePubMobi
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Opis
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Python Data Persistence
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
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.
linkedIn: linkedin.com/in/malharlathkar
Blog: indsport.blogspot.com
Key Features
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
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
- Getting Started
- Program Flow Control
- Structured Python
- Python OOP
- File IO
- Object Serialization
- RDBMS Concepts
- Python DB-API
- Python SQLAlchemy
- Python and Excel
- Python PyMongo
- Python Cassandra
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.
linkedIn: linkedin.com/in/malharlathkar
Blog: indsport.blogspot.com
Szczegóły książki
- ISBN Ebooka:
- 978-93-885-1175-9, 9789388511759
- Data wydania ebooka :
-
2024-12-13
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- Język publikacji:
- 1
- Rozmiar pliku ePub:
- 6.4MB
- Rozmiar pliku Mobi:
- 6.4MB
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