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SQLAlchemy

  • Couverture cartonnée
  • 504 Nombre de pages
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Mark Ramm (Ann Arbor, MI) is Senior Software Developer Optio Software, and author of Rapid Web Application with TurboGears. He is ... Lire la suite
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Auteur
Mark Ramm (Ann Arbor, MI) is Senior Software Developer Optio Software, and author of Rapid Web Application with TurboGears. He is a veteran web developer and Python programmer, and the primary author of Compund Thinking, a blog about IT Management topics.Michael Bayer (Brooklyn, NY) founded the SQLAlchemy project, along with others such as the Myghty web framework and Mako templating language. He remains extremely active in developing, maintaining and supporting SQLAlchemy, and is responsible for its current documentation. Bayer has worked for internet and web development companies in New York City for over ten years using a wide variety of programming and database technologies.

Texte du rabat

The definitive guide to database access with the SQLAlchemy Python library - co-authored by SQLAlchemy's creator! - Demystifies the problem of object-relational mapping, and shows Python developers exactly how to overcome it - The first book to deliver insider knowledge about the entire SQLAlchemy feature set, from basic to advanced: both SQL and object-relational features - Packed with tips for writing more robust, scalable, faster, database software: higherquality code that's easier to maintain Summary Authors Mark Ramm and Michael Bayer begin by helping Python developers clearly understand the challenges of object-relational mapping that led to SQLAlchemy's creation. Next, they help developers quickly get up to speed on SQLAlchemy's core features, so they can write efficient database-driven applications more rapidly. Once developers have mastered the essentials, Ramm and Beyer illuminate SQLAlchemy's deeper features, showing how to use them to write code that's faster, more efficient, and far easier to maintain. This book thoroughly covers SQLAlchemy's SQL construction API, database engine, metadata system, sophisticated object-relational mapper, dialects for multiple databases, and much more. Along the way, the authors introduce best practices for overcoming the challenges of object-relational mapping; and demonstrate how to harness the power of both object-oriented programming and relational algebra to write faster software with fewer defects.



Résumé

The definitive guide to database access with the SQLAlchemy Python

library - co-authored by SQLAlchemy's creator!

° Demystifies the problem of object-relational mapping, and shows Python developers

exactly how to overcome it

° The first book to deliver insider knowledge about the entire SQLAlchemy feature set,

from basic to advanced: both SQL and object-relational features

° Packed with tips for writing more robust, scalable, faster, database software: higherquality

code that's easier to maintain

 

Summary

Authors Mark Ramm and Michael Bayer begin by helping Python developers

clearly understand the challenges of object-relational mapping that led to

SQLAlchemy's creation. Next, they help developers quickly get up to speed on

SQLAlchemy's core features, so they can write efficient database-driven

applications more rapidly. Once developers have mastered the essentials,

Ramm and Beyer illuminate SQLAlchemy's deeper features, showing how to

use them to write code that's faster, more efficient, and far easier to maintain.

This book thoroughly covers SQLAlchemy's SQL construction API, database

engine, metadata system, sophisticated object-relational mapper, dialects for

multiple databases, and much more. Along the way, the authors introduce best

practices for overcoming the challenges of object-relational mapping; and

demonstrate how to harness the power of both object-oriented programming

and relational algebra to write faster software with fewer defects.

Informations sur le produit

Titre: SQLAlchemy
Sous-titre: Ython
Auteur:
Code EAN: 9780132364676
ISBN: 978-0-13-236467-6
Format: Couverture cartonnée
Editeur: Pearson Academic
Genre: Informatique
nombre de pages: 504
Année: 2018

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