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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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 Scifo Scifo
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Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

The login template

On the login page, which will be accessible via the /login URL, we want to display the login form; that is, the login and password input fields and the submit button. Flask, like many web frameworks, uses a template generator, allowing us to dynamically display variables on the page. The template generator used by Flask is called Jinja2. The following Jinja2 template allows us to display a simple login form with two text inputs (login and password) and a submit button:

    <form method="POST" action="/login">
{{ form.csrf_token }}
<div class="form-field">{{ form.login.label }} {{ form.login }}</div>
<div class="form-field">{{ form.password.label }} {{ form.password }}</div>
{{ form.submit }}
</form>

This template can be added to the templates/login.html file, after we've added the basic HTML tags (see https://github.com/PacktPublishing/Hands-On-Graph-Analytics...

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