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Video TrainingPragmatic Ai - Continuous Integration C# and Github Actions and Codespaces



Pragmatic Ai - Continuous Integration C# and Github Actions and Codespaces

Pragmatic Ai - Continuous Integration C Sharp and Github Actions and Codespaces-iLLiTERATE
English | Tutorial | Size: 199.59 MB

Learn to use Github CodeSpaces and Github Actions to Build and Test C# and XUnit projects.

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Video TrainingPragmatic Ai - Github Codespaces and Custom Dotfiles



Pragmatic Ai - Github Codespaces and Custom Dotfiles

Pragmatic Ai - Github Codespaces and Custom Dotfiles-iLLiTERATE
English | Tutorial | Size: 266.26 MB

GitHub Codespaces and custom dotfiles
Add your dotfiles to any Codespace automatically


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Video TrainingDemystifying Markdown - Learn GitHub Flavoured Markdown (GFM)



Demystifying Markdown - Learn GitHub Flavoured Markdown (GFM)

Demystifying Markdown - Learn GitHub Flavoured Markdown (GFM)
English | Tutorial | Size: 173.02 MB

Markdown is one of the cleanest and easiest forms of writing rich-text content. Believe me.

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Video TrainingPragmatic Ai - 52 Weeks Live Coding .NET-EP1 Github Codespaces



Pragmatic Ai - 52 Weeks Live Coding .NET-EP1 Github Codespaces

Pragmatic Ai - 52 Weeks Live Coding Dotnet Episode 1 Github Codespaces-iLLiTERATE
English | Tutorial | Size: 1.17 GB

Diving into C# and .NET from the beginning with Live coding each week.

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Video TrainingPragmatic Ai - Compiling Python From Scratch With Github Codespaces



Pragmatic Ai - Compiling Python From Scratch With Github Codespaces

Pragmatic Ai - Compiling Python From Scratch With Github Codespaces-iLLiTERATE
English | Tutorial | Size: 401.67 MB

Learn to install Python from scratch with Github Codespaces. Also learn to use Github Copilot with Ludwig.

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Video TrainingPragmatic Ai - MLOps with Hugging Face Spaces, Gradio and Github Actions



Pragmatic Ai - MLOps with Hugging Face Spaces, Gradio and Github Actions

Pragmatic Ai - MLOps With Hugging Face Spaces Gradio and Github Actions-iLLiTERATE
English | Tutorial | Size: 104.71 MB

Learn to use MLOPs methodology to deploy a Hugging Face Spaces application using Github Actions.

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Video TrainingLinkedin - Learning GitHub Packages



Linkedin - Learning GitHub Packages
Released 06/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 6m | Size: 171.4 MB
Almost every software developer uses dependencies to extend or accelerate the development process. GitHub Packages is a software package hosting service that allows you to host your software packages privately or publicly and use packages as dependencies in your projects. GitHub Packages combines your source code and packages in one place to provide integrated permissions management and billing, so you can centralize your software development on GitHub. In this course, instructor Carlos SolĂ­s explains how to use GitHub packages to create and distribute secure and reliable software packages. He shows how to work with GitHub tools, create automated workflows, and shares tips and tricks to monetize and build communities around your software package. If you're a developer or DevOps engineer looking to create and host software packages using a more secure, reliable, and centralized platform, check out this course.



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Video TrainingUdemy - Github Concepts



Udemy - Github Concepts
Published 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 771.12 MB | Duration: 2h 42m
Code repository



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Video TrainingDevSecOps with GitHub Actions Secure CI/CD with Git (2022)



DevSecOps with GitHub Actions Secure CI/CD with Git (2022)
Last Update: 6/2022
Duration: 2h 15m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 840 MB
Genre: eLearning | Language: English



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Video TrainingPackt - Git and GitHub for DevOps Engineers



Packt - Git and GitHub for DevOps Engineers

Packt - Git and GitHub for DevOps Engineers-XQZT
English | Size: 4.32 GB
Category: Tutorial

Grab the opportunity to work on a real-world project, creating a repository to release code to production environments using Git and GitHub from the perspective of a DevOps Engineer who doesn't typically write application code

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