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Building Web Applications with Python and Neo4j: Develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask,
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Develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django
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What Stands Out
Product Details
- Develop real-world Python-based web applications with Neo4j using frameworks like Flask, Py2neo, and Django
- Learn to secure and deploy the Neo4j database in production
- Understand the licensing and installation of Neo4j database and its tools and utilities
- Integrate Python and Neo4j using Py2neo and develop REST-based services using Flask
- Explore deployment models and their applicability with existing applications
- Ideal for Python developers seeking to expand their understanding of Python-based web applications over Neo4j graph data models
| Publisher | Packt Publishing |
| Publication date | July 16, 2015 |
| Language | English |
| Print length | 168 pages |
| ISBN-10 | 1783983981 |
| ISBN-13 | 978-1783983988 |
| Item Weight | 12 ounces (340.2 grams) |
| Dimensions | 7.5 x 0.42 x 9.25 inches (19.1 x 1.1 x 23.5 cm) |
Who Should Buy?
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Aspiring Developers
Beginners wanting to learn web development with Python will find this resource beneficial for hands-on experience.
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Data Enthusiasts
Individuals interested in graph databases can leverage Neo4j to enhance their understanding through practical project examples.
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Framework Users
Users familiar with Flask, Py2neo, or Django will gain insights on integrating these frameworks with Neo4j effectively.
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Complete Beginners
Those with no programming experience may struggle to grasp concepts without prior knowledge of Python or web basics.
Product Description
Building Web Applications with Python and Neo4j: Develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django
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Software Development Editorial Review
**** "Building Web Applications With Python and Neo4j" offers a concise and focused approach to integrating Python with Neo4j, a prominent graph database. Reviewers commend the book for its streamlined structure, which prioritizes essential content over lengthy explanations. This makes it an appealing choice for experienced developers eager to quickly get to grips with graph databases, particularly those coming from a relational database management systems (RDBMS) background. The first half of the book lays down the foundational concepts of Neo4j and effectively compares them to RDBMS analogies, facilitating understanding for those transitioning to graph databases. One notable strength highlighted is the book's practical orientation. It incorporates Python examples using the Flask framework, enabling readers to efficiently build web applications without becoming bogged down in complex framework details. Additionally, the inclusion of the py2neo package further enhances its practical utility, allowing for a broader exploration of graph database functionalities. However, some readers have expressed that the author's terse writing style can be challenging. The text often resembles a technical manual, leading to frequent rereads to fully grasp the material. This, combined with the relatively brief examples provided, can make mastering the nuances of Neo4j more labor-intensive than with other technical literature. Despite these concerns, the book remains a vital resource for anyone looking to leverage Neo4j within Python applications, especially given the scarcity of comprehensive literature in this niche. In summary, "Building Web Applications With Python and Neo4j" stands out as a valuable and efficient guide for experienced developers, albeit with some stylistic and content-related caveats that might require additional effort from the reader. **
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Pros
- Concise and focused material aimed at experienced developers.
- Effective integration of Neo4j concepts with comparisons to RDBMS.
- Practical examples for building web applications using Flask and the py2neo package.
- Good treatment of graph database principles relevant to Python applications.
Cons
- Terse writing style that can necessitate re-reading to grasp concepts fully.
Product Price History
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Features & Benefits
- Develop common applications and solutions with Neo4j and Python
- Secure and deploy the Neo4j database in production
- Implement and deploy interactive Python-based web applications on graph data model
- Understand Neo4j database installation and tools
- Work with Cypher as a graph query language
- Integrate Python with Neo4j using Py2neo
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