Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Beginning Django: Web Application Development and Deployment with Python

Buy
Discover the Django web application framework and get started building Python-based web applications. This book takes you from the basics of Django all the way through to cutting-edge topics such as creating RESTful applications. Beginning Django also covers ancillary, but essential, development topics, including configuration settings, static resource management, logging, debugging, and email. Along with material on data access with SQL queries, you’ll have all you need to get up and running with Django 1.11 LTS, which is compatible with Python 2 and Python 3.


Once you’ve built your web application, you’ll need to be the admin, so the next part of the book covers how to enforce permission management with users and groups. This technique allows you to restrict access to URLs and content, giving you total control of your data. In addition, you’ll work with and customize the Django admin site, which provides access to a Django project’s data.

After reading and using this book, you’ll be able to build a Django application top to bottom and be ready to move on to more advanced or complex Django application development.

What You'll Learn
  • Get started with the Django framework
  • Use Django views, class-based views, URLs, middleware, forms, templates, and Jinja templates
  • Take advantage of Django models, including model relationships, migrations, queries, and forms
  • Leverage the Django admin site to get access to the database used by a Django project
  • Deploy Django REST services to serve as the data backbone for mobile, IoT, and SaaS systems
Who This Book Is For 


Python developers new to the Django web application development framework and web developers new to Python and Django.
(HTML tags aren't allowed.)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Optimization Algorithms for Networks and Graphs
Optimization Algorithms for Networks and Graphs
A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which contemporary algorithm...
Lightweight Django
Lightweight Django

How can you take advantage of the Django framework to integrate complex client-side interactions and real-time features into your web applications? Through a series of rapid application development projects, this hands-on book shows experienced Django developers how to include REST APIs, WebSockets, and client-side MVC frameworks...


Applied Data Mining
Applied Data Mining

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and...

Pro Django (Expert's Voice in Web Development)
Pro Django (Expert's Voice in Web Development)

Learn how to leverage Django, the leading Python web application development framework, to its full potential in this advanced tutorial and reference. Updated for Django 1.5 and Python 3, Pro Django, Second Edition examines in great detail the complex problems that Python web application developers can face and how to solve them. It...

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy