Video Training → TeamTreehouse - Design Skills for Web Developers (Track) [Thomas]

Published by: Minhchick on 19-08-2022, 17:35 | 0

TeamTreehouse - Design Skills for Web Developers (Track) [Thomas]
English | Tutorial | Size: 3.49 GB

This Track will equip you to design apps and websites, not just program them.

Video Training → Marketing for Developers (Full Course)

Published by: Minhchick on 12-08-2022, 18:01 | 0

Marketing for Developers (Full Course)
English | Tutorial | Size: 14.92 GB

Only one factor predict's a product's success
It's not the quality of your code.
It's not "scratching your own itch."

Video Training → Udemy - Learning Nodejs For PHP Developers

Published by: voska89 on 4-08-2022, 20:40 | 0

Last updated 7/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 249.38 MB | Duration: 2h 48m
Learn to build powerful applications with web technologies such as PHP and NodeJS.

Video Training → Linkedin - Azure Dapr for .NET Developers Part 2

Published by: voska89 on 30-07-2022, 17:09 | 0

Released 07/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 44m | Size: 298.4 MB
Are you ready to take your new skills in Dapr to the next level for successful deployment? In this course, the second in a two-part series, instructor Rodrigo Díaz Concha shows you how to manage, configure, and deploy distributed applications as microservices in Kubernetes and Azure Container Apps. Explore some of the most important building blocks of a resilient, Dapr-engineered solution, including best practices for secrets management, configuration, and end-to-end observability. Learn how to extend and apply Dapr components to be deployed as fully containerized, testable microservices in a Kubernetes cluster or in Azure Container Apps. Along the way, Rodrigo shares key advice to help you get the most out of your Dapr experience.

Video Training → Udemy - Pymongo For Developers

Published by: voska89 on 28-07-2022, 21:59 | 0

Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.16 GB | Duration: 4h 4m
The main aim of this course is to provide a wide understanding of how to integrate MongoDB with Python

Video Training → Udemy - Pycharm Ide For Developers

Published by: voska89 on 28-07-2022, 21:59 | 0

Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1001.45 MB | Duration: 2h 53m
Learn the most popular IDE for python and use it to develop applications easily.

Video Training → LinkedIn - iOS 16 First Look for Developers

Published by: voska89 on 23-07-2022, 19:57 | 0

LinkedIn Learning
Duration: 12m 25s | Video: 1280x720 30fps | Audio: AAC, 48 kHz, 2ch | Size: 111 MB
Genre: eLearning | Language: English
In this first look course, Todd Perkins introduces you to new features in iOS 16 that will be of special interest to developers. He begins with SwiftUI, where you can now add charts to your apps quickly and easily with just a few lines of code. Todd explains how to use WeatherKit, a new framework for easily getting weather data into your apps. He covers new features in the SF Symbols 4 app and goes over updates to ShapeStyle. Plus, Todd shows you how to transfer data and share images with ShareLink.

Video Training → Linkedin Learning - Learning Amazon Web Services (AWS) for Developers

Published by: Minhchick on 10-07-2022, 18:24 | 0

Linkedin Learning - Learning Amazon Web Services AWS for Developers-XQZT
English | Tutorial | Size: 366.78 MB

Learn what AWS has to offer developers. Review AWS pricing and solutions for security, storage, messaging, deployment monitoring, and more

Video Training → Linkedin Learning - Azure Dapr for .NET Developers Part 1

Published by: Minhchick on 3-07-2022, 19:16 | 0

Linkedin Learning - Azure Dapr for DotNET Developers Part 1-XQZT
English | Tutorial | Size: 306.54 MB

Learn how to use Dapr as a platform for building distributed applications and microservices, as well as how to deploy a Dapr application in Azure Kubernetes Service