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Linkedin Learning – JavaScript Arrays

Linkedin Learning – JavaScript Arrays-QUiD
English | Size: 225.61 MB
Category: Tutorial


Programming language arrays store collections of data in a single variable, and you can use them as lists, as stacks, as collections, and more. They also have built-in properties and methods that allow you to utilize them as needed. JavaScript arrays may sound simple, but they offer many more features than arrays in other programming languages.

Linkedin Learning – Enterprise Agile Changing Your Culture UPDATED 2020/01/06

Linkedin Learning – Enterprise Agile Changing Your Culture UPDATED 20200106-LiBRO
English | Size: 579.55 MB
Category: Tutorial


Many organizations deliver products with dozens or even hundreds of teams. For these organizations, spinning up a few agile teams is just the start. Eventually, they’ll want to scale up their agile approach to work on enterprise-level products a shift that presents a whole new set of challenges. Enterprise agile requires a different organizational mindset along with new roles and practices.

Linkedin Learning – AR Development Techniques 02 Lighting and Physics

Linkedin Learning – AR Development Techniques 02 Lighting and Physics-LiBRO
English | Size: 488.75 MB
Category: Tutorial


This course, the second in a four-part series, teaches you about lighting and physics in AR application development in Unity. First, instructor Parth Anand explains how to set up a simple AR scene and how to detect unique planes in the environment.

Linkedin Learning – C Advanced Practices-XQZT

Linkedin Learning – C Advanced Practices-XQZT
English | Size: 695.49 MB
Category: CBTs


This course introduces you to advanced practices in C#, such as LINQ queries, asynchronous task composition

Linkedin Learning – Running Kubernetes on AWS EKS UPDATED 20210106

Linkedin Learning – Running Kubernetes on AWS EKS UPDATED 20210106-QUiD
English | Size: 251.91 MB
Category: Tutorial


Kubernetes fans rejoice. You can now use this popular container orchestration tool with Amazon Web Services (AWS) to deploy enterprise-scale Kubernetes clusters without the headaches of managing multiple masters.