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Linkedin – Rapid Application Development with Python

[FreeCoursesOnline.Me] Linkedin – Rapid Application Development with Python
English | Size: 366.38 MB
Category: Tutorial


Developing graphical user interfaces (GUIs) in Python traditionally involves a lot of manual coding. wxGlade, a GUI designer written in Python for the wxPython GUI toolkit, was designed to help simplify this process. In this course, learn how to quickly develop Python GUI apps using the wxPython library-which brings the wxWidgets capability to Python-and the wxGlade tool. To lend each concept a real-world context, instructor Malcom Shore steps through how to build a cybersecurity compliance app based on the NIST Cybersecurity Framework. Malcom begins by detailing how to create a simple wxPython application. He then shows how to construct a user interface for your application using wxGlade and add functional application code to put the finishing touches on your project.

Linkedin Learning – AWS High Availability

Linkedin Learning – AWS High Availability
English | Size: 588.98 MB
Category: Cloud-Comp


Building out a resilient application takes knowledge, effort, and the right toolset. Businesses increasingly turn to cloud-based platforms like Amazon Web Services for access to modern, scalable solutions, including compute, database, and storage options. This course covers basic high availability (HA) concepts as well as practical techniques for setting up a strong and highly available environment for your real-world applications in AWS. Follow along with instructor Sharif Nijim as he explains how to create highly available DNS routes in Route 53; distribute workloads across resources with Amazon Machine Images, the Application and Network Load Balancers, and AWS Auto Scaling; and build out a highly available database with Dynamic DB, RDS, Neptune, and ElastiCache. Plus, learn about the high availability storage options such as S3, Elastic Block Storage (EBS), Elastic File System, and FSx.

Linkedin Learning – Tips for Writing Business Emails

Linkedin Learning – Tips for Writing Business Emails
English | Size: 328.16 MB
Category: Tutorial


Many people have a love-hate relationship with email. Studies have shown that the average businessperson spends more than a dozen hours a week writing emails. Every detail, from grammar to tone to timing, impacts your reputation and personal brand. Join Dr. Daisy Lovelace as she shares tips to strengthen your email skills and shape a positive online reputation.

Linkedin Learning – Scaling Out Using Azure SignalR Service

Linkedin Learning – Scaling Out Using Azure SignalR Service-ZH
English | Size: 443.57 MB
Category: Tutorial


Every modern application has some sort of real-time-communication need. With the rise of microservices and serverless, many developers find themselves working with applications that run on multiple servers. Azure SignalR Service can help you scale these applications by allowing users to connect to a central location and enabling other services to send messages to users quickly without worrying about hosting, scalability, and load balancing. Curious about how to use Azure SignalR Service to build real-time applications in the cloud? This course covers what you need to know to get up and running.

Linkedin Learning – Java Microservices with GraalVM

Linkedin Learning – Java Microservices with GraalVM-ZH
English | Size: 530.94 MB
Category: Tutorial


Traditional JVMs often fail to deliver the speed and efficiency necessary to run today’s cloud-based Java applications. GraalVM is a virtual machine that aims to improve performance using strategies such as precompilation and native image creation. Learn how GraalVM can improve your modern Java microservice implementations with examples shown using the Micronaut, Helidon, Quarkus, and Spring frameworks. Instructor Frank Moley first demonstrates how to use GraalVM with existing code artifacts, so you can see the performance benefits on raw code. He then shows how to build a basic microservice in each of the four frameworks-as well as a native image of each service-and reviews the performance and image size metrics of the final microservices. Using these practical examples, you can evaluate which combination will benefit your Java projects the most.