Backbone.js versus AngularJS

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Dagfinn Reiersøl

Presentation held at Backbone.js meetup in Oslo November 6, 2012. Summarizes provisional conclusions based on limited experience.

Wanted: a framework that:
 Allows me to build a useful object model
 Doesn’t require me to write explicit event handlers to
update the Model from form inputs
 Satifies frontend developers

Tried this
 Proof of concept: Basic form for editing an object’s attributes
 Very limited universe explored
 Backbone.js with Rivets.js (because it worked!)
 AngularJS

Not married to a
framework (yet)

Why I liked AngularJS
 ”Frontend friendly”
 Simpler code in the proof of concept
 Easy, natural two-way data binding
 Model is a plain JavaScript object
 Dependency injection system

Problems with Angular
 Some things just don’t work??

Problems with Angular
 Some things just don’t work??
 ”Codebase appears to be fairly sprawling and not very
modular.”

Problems with Angular
 Some things just don’t work??
 ”Codebase appears to be fairly sprawling and not very
modular.”
 ”Angularjs documentation is absolutely abysmal. They are
truly awful. I can't say enough how terribly terribly terrible
they are at explaining themselves.”

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VTU technical seminar 8Th Sem on Scikit-learn

VTU technical seminar 8Th Sem on Scikit-learn

VTU technical seminar 8Th Sem on Scikit-learn

AmarnathKambale

Test automation is a cornerstone of software development and quality assurance in today's rapidly evolving digital landscape. Its significance cannot be overstated. Businesses can enhance efficiency, productivity, and accelerate software delivery to market through automation, streamlining testing processes effectively. This comprehensive guide addresses the best practices for test automation in 2024. It offers a detailed checklist to empower you to optimize your automation efforts and maintain a competitive edge.

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The Ultimate Test Automation Guide_ Best Practices and Tips.pdf

The Ultimate Test Automation Guide_ Best Practices and Tips.pdf

kalichargn70th171

Many specialized tools cater to distinct stages within the software development lifecycle (SDLC). These tools target various aspects of development, delivery, and operations, each with its unique strengths. Uniting these diverse testing needs into a single continuous testing platform presents several challenges. Such a platform must seamlessly integrate with various development tools and environments, accommodate different testing methodologies, and remain flexible to adapt to organizational processes and quality standards.

The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...

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kalichargn70th171

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Looking to embark on a digital project in New York City? Choosing the ideal Laravel development partner is pivotal. Begin by defining your project requirements clearly. Assess potential partners' experience, expertise, and technical proficiency, checking portfolios and client testimonials. Effective communication and collaboration are paramount, so evaluate partners' communication styles and project management approaches. Consider long-term scalability and support options, and discuss pricing and contracts transparently. Lastly, trust your instincts when selecting a partner aligned with your vision and values.

How to Choose the Right Laravel Development Partner in New York City_compress...

How to Choose the Right Laravel Development Partner in New York City_compress...

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software pro Development

Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

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Backbone.js versus AngularJS

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2. Wanted: a framework that:  Allows me to build a useful object model  Doesn’t require me to write explicit event handlers to update the Model from form inputs  Satifies frontend developers

3. Tried this  Proof of concept: Basic form for editing an object’s attributes  Very limited universe explored  Backbone.js with Rivets.js (because it worked!)  AngularJS

4. Not married to a framework (yet)

5. Why I liked AngularJS  ”Frontend friendly”  Simpler code in the proof of concept  Easy, natural two-way data binding  Model is a plain JavaScript object  Dependency injection system

6. Problems with Angular  Some things just don’t work??

7. Problems with Angular  Some things just don’t work??  ”Codebase appears to be fairly sprawling and not very modular.”

8. Problems with Angular  Some things just don’t work??  ”Codebase appears to be fairly sprawling and not very modular.”  ”Angularjs documentation is absolutely abysmal. They are truly awful. I can't say enough how terribly terribly terrible they are at explaining themselves.”