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  • Pragmatic AI Solutions 〈Firm〉,  (38)
  • Application software Development  (38)
  • Electronic videos ; local
  • 1
    Online Resource
    Online Resource
    GitHub foundations : privacy, security and administration (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: GitHub (Computer file) ; Application software Development ; Computer security ; Logiciels d'application ; Développement ; Sécurité informatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: GitHub Foundations: Privacy, Security and Administration (Rough Draft) Updated (JIT) as it is built About This Video Course Building Secure and Efficient GitHub Workflows This video series covers live coding the GitHub Administration and Security domain iteratively, thus learning the best practices and nuances of managing and securing GitHub projects. Lessons Covered Include: 1.0 Course Introduction: Building Secure and Efficient GitHub Workflows 1.1 Introduction to Authentication and Security: Ensuring Your GitHub Account's Integrity 1.2 Securing Account with 2FA 1.3 Understanding Access Permissions 1.4 Enterprise Managed Users (EMUs) Explained 1.5 Introduction to GitHub Administration: Configuring and Managing Repositories and Organizations 1.6 Enabling and Disabling Features 1.7 Repository Permission Levels Explained 1.8 Setting Repository Visibility Options 1.9 Repository Privacy Settings and Options 2.0 Features and Options in the Security Tab 2.1 Understanding Repository Insights 2.2 Managing Collaborators in GitHub 2.3 Managing Organization Settings 2.4 Members, Teams, and Roles in a GitHub Organization 2.5 Next Steps: Continuing Your GitHub Mastery Journey Learning Objectives Learn GitHub's authentication and security measures Learning to build solutions with robust repository management Learning the key syntax and features of GitHub Administration and Security Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification AWS Solutions Architect Professional (SAP-C02) 2023 Assimilate Python From Zero.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Live coding in Rust (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Rust (Computer program language) ; Application software Development ; Systems programming (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Live Coding in Rust: Unleash the Power of Systems Programming Delve deep into the Rust ecosystem with this groundbreaking live coding series, focused on building robust and performant software, including cutting-edge topics like LLMOps and machine learning with Hugging Face's Candle library. What You'll Get Live coding sessions with expert commentary Weekly updates and continually expanding! High-impact projects and examples Exclusive discussions on Rust best practices Topics covering LLMOps, machine learning, and more A focus on performance, safety, and systems programming Course Outline (Future and Current Content) Rust Fundamentals Introduction to Rust Understanding Ownership & Borrowing Error Handling in Rust LLMOps in Rust Live Coding Rust: LLMOps in Rust--Exploring Hugging Face Candle Building Custom LLMOps Libraries Rust and LLVM: A Match Made in Heaven Machine Learning in Rust Implementing ML Algorithms in Rust Using Hugging Face Candle for NLP Deploying Rust ML Models in Production Systems Programming Writing File Systems in Rust Creating Web Servers with Actix Asynchronous Programming with async/await Rust in DevOps Automating CI/CD Pipelines with Rust Rust for Cloud Operations Rust in Containerized Environments Topics Covered LLMOps : The intersection of LLVM and DevOps Machine Learning : Building and deploying models in Rust Systems Programming : Low-level operations made easier and safer DevOps : Leverage Rust for automating operations tasks Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Pragmatic AI Labs Course.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Achieving scalability with Vector, Graph, and key/value databases (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Amazon Web Services (Firm) ; Database management ; Database design ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos ; Infonuagique ; Logiciels d'application ; Développement ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Achieving Scalability with Vector, Graph, and Key/Value Databases Description This week we explore vector and graph databases, powerful tools for managing and extracting insights from large, complex datasets. As data volumes continue to grow, scalability is crucial. We'll learn how vector and graph databases can efficiently store data while maintaining relationships, enabling more advanced analytics. Through real-world examples, you'll see how these databases unlock scalability for machine learning, fraud detection, social networks, and more. Learning Objectives Learn Vector, Graph, SQLand Key/Value Databases Learning to build solutions with Rust, Vector, Graph, and Key/Value Databases Learning advanced data engineering Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Rough draft.". - "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed October 17, 2023)
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    Rust AWS Lambda (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Rust (Computer program language) ; Cloud computing ; Web applications Development ; Application software Development ; Computer architecture Design ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust AWS Lambda Build and deploy serverless applications with Rust and AWS Lambda This course will help you build and deploy serverless applications with Rust and AWS Lambda. You will learn how to create, deploy, and manage AWS Lambda functions using Rust, leveraging the power and performance of the language for serverless architecture, and apply it by building a real-world Lambda function as a part of a distributed application. What you will learn Understand the concept of serverless architecture and AWS Lambda. Create and deploy AWS Lambda functions written in Rust. Integrate Lambda functions with other AWS services. Monitor, test, and optimize Rust-based Lambda functions. Implement real-world applications using Rust and AWS Lambda. Lesson 1: Getting Started with Rust AWS Lambda and Serverless Introduction to Serverless and AWS Lambda Walk through Rust Firecracker Project Setting up VSCode AWS Toolkit and CodeWhisperer for Rust Introduction to Cargo Lambda Rust Cost Advantage AWS Lambda Using the AWS Lambda Console Using the Step Functions Console Invoking Step Functions from AWS CLI Lesson 2: Advanced Techniques with Rust and AWS Lambda Building a Rust AWS Lambda Add Function Building a Rust AWS Lambda Divide by Two Function Invoking AWS Step Function from CLI Building Chainable AWS Step Functions with Rust Serverless MLOPs with EFS mounted in AWS Lambda Using Rust AWS Lambda Function URLs Saving money with arm64 Rust AWS Lambdas Lesson 3: Building a Polars Rust AWS Lambda Solution Polars Rust AWS Lambda Build and Deploy Polars Rust AWS Lambda Using AWS Console with deployed Polars Rust AWS Lambda Analyzing Rust AWS Lambda code with CodeWhisperer and AWS Toolkit AWS Lambda Function URLs Build and Deploy Polars Rust AWS Lambda Function URLs.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Live coding AWS CodeWhisper (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (19 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Codewhisperer
    DDC: 005.3
    Keywords: Amazon Web Services (Firm) ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learning Generative AI with AWS CodeWhisperer During Live Coding This video series covers live coding in various languages iteratively, thus learning the language. Lessons Covered Include 1.0 Getting started with Bash and Rust using AWS CodeWhisperer, VSCode, and AWS Toolkit for VSCode Learning Objectives Learn the fundamentals of Generative AI Learn to build AI-powered solutions with Bash, Rust, and AWS services Master the key syntax and features of Bash and Rust languages Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Live coding.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
    URL: lizenzpflichtig
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  • 6
    Online Resource
    Online Resource
    52 weeks of Swift : Episode 6: Using Swift functions (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn functions in Swift 00:00 Intro 03:00 Calling functions 06:00 Multiple parameters 21:00 Nested functions.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 7
    Online Resource
    Online Resource
    Refactoring a Python script into a library called by Python Click CLI (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to refactor a Python script into a library called by Python Click CLI. 00:00 Intro 00:19 Refactoring to a library 01:44 Installing click 02:23 Importing refactored library 02:36 Building click options 05:04 Formatting code with Python Black and Running Click 06:14 Building conditional logic to print colored output.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 8
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    Online Resource
    Functions from zero (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Cloud computing ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Infonuagique ; Application software ; Development ; Cloud computing ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build a project from zero, test it with Github Actions. Next, build both Click and Fire Command-Line Tools. Finally containerize a Fast API Wikipedia Scraper and deploy to AWS App Runner. 00:00 Intro 03:00 Statements in Python using Colab 10:00 List and Dictionaries Python 21:00 Using Github Codespaces to build project 38:00 Setup Github Actions 44:00 Python Functions 1:03:00 Build Wikipedia bot 1:12:00 Build Click Command-Line Tool Interface Wikipedia Bot 1:38:15 Build Python Fire Command-Line Tool 1:42:21 Build FastAPI Wikipedia Bot 1:56:00 Containerize FastAPI Wikipedia Bot with Docker 2:07:08 Deploy AWS App Runner FastAPI Wikipedia Bot with Docker.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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  • 9
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    Online Resource
    Learn to setup Mac M1 with Tensorflow Metal (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: TensorFlow ; Deep learning (Machine learning) ; Application software Development ; Macintosh (Computer) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to setup Mac M1 with Tensorflow and Metal 00:00 Intro 01:17 Install Conda and tensorflow-metal 02:02 Run Juypter Notebook 02:10 Train a model using Tensorflow and M1 GPU 02:34 Verify GPU is saturated 03:25 Verify Activity Monitor shows GPU and CPU history for Python 3.9.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 6, 2022)
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  • 10
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    Online Resource
    One line deploy to AWS ECS Fargate for .NET Blazor app (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4038
    Keywords: Application software Development ; Virtual storage (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to deploy a AWS ECS Fargate application for a .NET Blazor App. 00:00 Intro 00:54 Overview of the project and the requirements 02:17 Setting up Cloud9 for .NET 6 03:36 Creating .NET Blazor 04:08 Run locally using dotnet run --urls=http://localhost:8080 05:45 Create Dockerfile 07:28 Run dotnet aws deploy to deploy to AWS ECS 09:12 Grab ECS endpoint and test the application and inspect ECS.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 11
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    Online Resource
    MLOps deployment with Azure container apps (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Cloud computing ; Microsoft Azure (Computing platform) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps deployment to Azure Container Apps Take advantage of insta-scaling for live inferencing Learn how to deploy an ML container with FastAPI and deploy it to Azure Container Apps with GitHub Actions. This repository gives you a good starting point with a Dockerfile, GitHub Actions workflow, and Python code that already works for generating text using GPT-2 with HuggingFace Transformers. First, you'll go through an architectural overview of the end-result, then you will go through every configuration item needed to set the automation right between Azure and GitHub Actions and the GitHub Container Registry. Finally, you'll see how to deploy and find a few crucial requirements needed for everything to work, like ingress ports and setting the right amount of RAM and CPU. Learn Objectives In this video lesson, I'll go over the details with an example repository you can use for reference including the following learning objectives: Use GitHub Container Registry to push a built container Use the Azure CLI in a GItHub Action to authenticate to Azure How to generate an Azure Service Principal and a Personal Access Token to authenticate Configure Azure Container Apps to correctly serve a model with enough resources Look at deployment logs to ensure things are working right Resources Example repository Practical MLOps book MLOps Maturity Model Packaging ML models MLOps packaging: HuggingFace and Docker MLOps packaging: HuggingFace and Azure Container Registry.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 12
    Online Resource
    Online Resource
    52 weeks .NET : the series : Pragmatic AI Labs course (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Microsoft .NET Framework ; Application software ; Development ; C (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks .NET - The Series Iterative .NET Live Coding 1.0 52 Weeks Live coding NET ep1- Setup Github CodeSpaces for .NET 2.0 52 Weeks Live coding NET Episode2 - Going through Microsoft tutorial on CSharp 3.0 52 Weeks Live coding NET Episode3 - Running Blazor on .NET Core 4.0 52 Weeks of Live Coding NET Episode 4 - Starting with CDK and Failing 5.0 52 Weeks of Live Coding NET Episode 5 - Building a CDK App and Succeeding 6.0 52 Weeks net EP6 more cdk2.0 - Trying a more complicated CDK app and Failing Topics include CSharp Blazor .NET Core CDK 2.0 Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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  • 13
    Online Resource
    Online Resource
    Kubernetes for data (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes ; Application software Development ; Computer programs ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Kubernetes for Data Learning Kubernetes For Data This video series covers the Kubernetes ecosystem for data. Lessons Covered Include Six Key Lessons: 1.0 What is Kubernetes? 1.1 Cluster Architecture 1.2 Pods and Nodes 1.3 Services and Deployments 2.0 Running Kubernetes with Minikube 3.0 3.0 4.0 5.0 1.1 Docker Container Demo 1.2 Minikube Demo 1.3 Minikube Dashboard 1.4 Deploying a containerized FastAPI App with Kubernetes Learning Objectives Learn Kubernetes for Data Learning to build solutions with Kubernetes for Data Learning the key syntax and features of Kubernetes for Data Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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  • 14
    Online Resource
    Online Resource
    Assimilate Fsharp (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: F (Computer program language) ; Application software Development ; Application software ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate F Learning Fsharp During Live Coding This video series covers live coding the Fsharp Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup Fsharp in Visual Studio Code and GitHub Codespaces and build interactive Fsharp scripts and projects Learning Objectives Learn Fsharp Learning to build solutions with Fsharp Learning the key syntax and features of the FsharpLanguage Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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  • 15
    Online Resource
    Online Resource
    Assimilate HTML/CSS/JS (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: TypeScript (Computer program language) ; JavaScript (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate HTML/CSS/JS Learning Assimilate HTML/CSS/JS During Live Coding This video series covers live coding the Assimilate HTML/CSS/JS iteratively thus learning the language. Lessons Covered Include: 1.0 Get started with HTML, CSS and render out several static websites using node.js express. Learning Objectives Learn HTML/CSS/JS Learning to build solutions with HTML/CSS/JS Learning the key syntax and features of the HTML/CSS/JS Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
    URL: lizenzpflichtig
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  • 16
    Online Resource
    Online Resource
    Deploying containers to Azure (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Windows Azure ; Cloud computing ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Deploy a containerized web app to Azure There are many services out there that allow you to deploy a container to the cloud. Although a straightforward operation, it is critical to understand how to create a robust automation deployment system. This course will create a Python Flask application from scratch, will containerize it, set the automation for it and then deploy it to Azure. This course lays out the foundations for creating more powerful containerized applications beyond the simple examples. You can add a Machine Learning model into the container and the end result would be the same: a robust deployment system that can get changes quickly onto Azure with any changes to the main branch. The continuous deployment system is a game changer as a skill set, making you a far more valuable engineer. In this video you will learn: Create a Python Flask application for containerization Use a Dockerfile to create the Flask container Use GitHub Actions to automatically deploy the container after a pull request or changes to the main branch Push your container to the GitHub container registry from the GitHub repository Create the web app on the Azure portal and connect it to GitHub Actions Host the containerized Python Flask application on Azure Debugging techniques for broken containers and other common errors like incorrect ports Useful Resources GitHub repository with sample code Free Azure Certification for Students Try Azure for Free AZ-900 Azure Fundamentals reference guide Azure SAMBA file share Azure Remote Compute for VSCode.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 17
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    Online Resource
    Continuous integration C# and Github actions and codespaces (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: GitHub (Computer file) ; Application software Development ; Application software ; Development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use Github CodeSpaces and Github Actions to Build and Test C# and XUnit projects. 00:00 Intro 01:03 Create Github Project for C# 01:27 Create Github Codespace 16 core Visual Studio environment 03:15 Create Xunit project with dotnet cli 04:04 Create XUnit test 04:40 Find build and test commands for project 06:51 Setup and run GitHub Actions project 08:04 Verify Github Actions Compiles and Tests C#.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 18
    Online Resource
    Online Resource
    52 weeks of .NET : learning by live coding C# and .NET : an ongoing series (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Microsoft .NET Framework ; Application software ; Development ; C (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of .NET Learning .NET and C# by Live Coding This video series live coding .NET and iteratively learning the language. Lessons Covered Include: 1.0 52 Weeks of Live Coding NET Episode 1 codespaces.mp4 2.0 52 Weeks of Live Coding NET Episode 2 Xunit.mp4 3.0 52 Weeks of Live Coding NET Episode 3 Blazor.mp4 4.0 52 Weeks of Live Coding NET Episode 4 failing to get cdk1 working.mp4 5.0 52 Weeks of Live Coding NET Episode 5 success cdk2.mp4 Learning Objectives Learn .NET and C# and F# by Live Coding Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
    URL: lizenzpflichtig
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  • 19
    Online Resource
    Online Resource
    52 weeks of Swift : Pragmatic AI Labs course (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Swift Learning Swift by Live Coding This video series live coding Apple's Swift language and iteratively learning the language. Lessons Covered Include: 1.0 52 Weeks of Swift Episode 1 getting setup 2.0 52 Weeks of Swift Episode 2 the basics 3.0 52 Weeks of Swift Episode 3 basic operators 4.0 52 Weeks of Swift Episode 4 strings characters 5.0 52 Weeks of Swift Episode 5 collection types 6.0 52 Weeks of Swift Episode 6 Functions 7.0 52 Weeks of Swift Episode 7 Closures 8.0 52 Weeks of Swift Episode 8 Enumerations 9.0 52 Weeks of Swift Structures and Classes 10.0 52 Weeks of Swift Episode 10 Properties 11.0 52 Weeks of Swift Episode 11 Methods 12.0 52 Weeks of Swift Episode 12 Subscripts 13.0 52 Weeks of Swift Episode 13 Inheritance 14.0 52 Weeks of Swift Episode 14 Deinitialization 15.0 52 Weeks of Swift Episode 14 Initialization 16.0 52 Weeks of Swift_ Episode 16 Error Handling 17.0 52 Weeks of Swift_ Episode 17 Concurrency 18.0 52 Weeks of Swift_ Episode 18 Type Casting 19.0 52 Weeks of Swift_ Episode 19 Nested Types 20.0 52 Weeks of Swift Generics 21.0 52 weeks of Swift EP21 Protocols 22.0 52 weeks of Swift OpaqueTypes Learning Objectives Learn Apple's Swift language by Live Coding Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
    URL: lizenzpflichtig
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  • 20
    Online Resource
    Online Resource
    Assimilate typescript (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: TypeScript (Computer program language) ; Application software Development ; Application software ; Development ; TypeScript (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Typescript Learning Typescript During Live Coding This video series covers live coding the Typescript Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup Typescript in GitHub Codespaces compile and run hello world examples in the browser and with Node.js Learning Objectives Learn Typescript Learning to build solutions with Typescript Learning the key syntax and features of the Typescript Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
    URL: lizenzpflichtig
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  • 21
    Online Resource
    Online Resource
    The yield keyword in Python (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.117
    Keywords: Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: What does the Yield keyword do in Python? This video covers the basics so you can understand what yield is, what is a generator, and why is it different than any other iterable in Python A yield keyword makes a function a lazy iterable. Producing values one at a time. The function becomes a generator, so when called, the code will not execute. A generator is a function that uses the yield keyword. This function is an iterable that produces values one at a time, or does a lazy production of values. I'll use a Jupyter Notebook that you can use to follow along with practical examples that will show you what are some of the key differences and when or why you would use the yield keyword. In this video you will learn: What is an iterable and how is it different from using yield? What does yield do to a function? What is a Python generator Potential uses for a Python generator like infinite results Useful Resources GitHub repository with examples Build Python applications from scratch Try Azure for Free Introduction to Azure Databricks.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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  • 22
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    Online Resource
    Provisioning EC2 instances with AWS Console and AWS Cloud Shell (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/8
    Keywords: Amazon.com (Firm) ; Web services ; Cloud computing ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to provision EC2 instances from both the AWS Console and AWS CloudShell. Also learn the key components of EC2 instance provisioning. 00:00 Intro 00:45 EC2 Instance Provisioning Key Component Diagram Walkthrough 03:18 Launching an EC2 Instance from AWS Console 04:06 Creating SSH key pair 04:46 Configuring Security Group rules 05:21 Walkthrough of Advanced Setting including User Data 06:33 Observing EC2 Instance State in Console 07:07 Using AWS CloudShell to launch and controll EC2 Instances 07:44 Finding AMI IDs to launch EC2 Instances from AMI Catalog 08:00 Launching EC2 Instances from AMI Catalog with AWS CloudShell 08:52 Connecting to EC2 Instances from AWS Console and logging into Linux shell 09:40 Walkthrough of EC2 Instance Connection options for Windows with RDP 10:56 Terminating Instances with AWS CloudShell and Bash AWS CLI 11:50 Recap of EC2 Instance Provisioning.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    URL: lizenzpflichtig
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  • 23
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    Online Resource
    MLOps packaging : HuggingFace and Azure container registry (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Cloud computing ; Microsoft Azure (Computing platform) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps packaging: HuggingFace and Azure Container Registry Use automation to package models Learn how to package a HuggingFace GPT2 model for text generation using automation with MLOps and pushing the result to Azure Container Registry. With just a little bit of Python and FastAPI you can have a powerful text generation API that is self-documented! Learn Objectives In this video lesson, I'll go over the details with an example repository you can use for reference including the following learning objectives: Create a FastAPI application with HuggingFace Interact with the model with HTTP from a container using FastAPI Containerize the application using GitHub Actions Create repository secrets to login and push to Azure Container Registry Resources Example repository Practical MLOps book MLOps Maturity Model Packaging ML models.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 6, 2022)
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  • 24
    Online Resource
    Online Resource
    GitHub codespaces course (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Codespaces Course A full introduction to Codespaces with practical examples This course will show you everything you need to know to be productive using GitHub Codespaces , a service that allows you to run a configurable development environment with one-click launch with a remote compute in the cloud. Being able to run Visual Studio Code in the cloud for any project with a pre-configured environment is going to allow you to concentrate on the learning if you are student, the teaching if you are a professor, or being plain productive if you are already a technologist. Learning Objectives This course goes through some of the basics of using default Codespaces environments, but it also goes into configuring environments to take advantage of its best features, including: Learning about Codespaces uses and how it fits for learning, teaching, or working in projects Running default Codespaces and configuring it in your GitHub account Configuring Codespaces for different development environments Applying practical examples in Codespaces environments using Docker, Python, and many other tools About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses with Codespaces is seen throughout this course, where you will get a first-hand experience with practical examples as well as applicable configuration for any development environment. Resources Python Bootcamp Pytest Master Class Practical MLOps book What is GitHub Codespaces Azure Codespaces Template.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
    URL: lizenzpflichtig
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  • 25
    Online Resource
    Online Resource
    52 weeks of Swift : Episode 88: Stuctures/classes (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Swift Classes and Structures 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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  • 26
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    Online Resource
    52 weeks of Swift : Episode 10: Properties (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn about Swift Properties.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 27
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    Online Resource
    GitHub codespaces and custom dotfiles (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Codespaces and custom dotfiles Add your dotfiles to any Codespace automatically Customize any GitHub Codespace you create or use by automatically getting your dotfiles in there with no effort! You only need a GitHub repository that contains your dotfiles to get this feature enabled in any Codespace you work on You also have the ability to have a setup.sh script that you can use to further customize how GitHub will add your dotfiles to your Codespace at creation time. Learning Objectives In this lesson you will learn: Configure a GitHub Codespace with dotfiles Create a repository with your own dotfiles Additional features you can try with dotfiles in Codespaces Useful Resources Dotfiles and Codespaces documentation Free Azure Certification for Students Introduction to GitHub Actions Run Python In GitHub Actions.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 28
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    Online Resource
    52 weeks of Swift : Episode 18: Type casting (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Swift is a programming language that is designed to be a simple, yet powerful. 00:00 Intro 01:30 Diving into Type Casting 02:50 Type Casting in Swift 05:00 Type Casting in Swift with Example.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 29
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    Online Resource
    52 weeks of Swift : Episode 7: Closures (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn 52 weeks episode 7, swift closures 00:00 Intro; 00:36 What is a closure?; 02:00 Sorted; 06:00 Inferring Type From Context; 15:00 Various exotic topics in closures.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 10, 2022)
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  • 30
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    Online Resource
    52 weeks of Swift : Episode 15: Control flow (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn control flow with Swift 00:00 Intro 01:57 For Loops 03:54 For Loops Dictionaries 08:00 While Loops 11:00 Case Statements.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 31
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    Online Resource
    52 weeks of AWS : Episode 21: Building microservices (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/6
    Keywords: Amazon Web Services (Firm) ; Web applications ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of AWS I continue to cover the solutions architect certification. The topic of building Microservices is the focus today. 00:00 Intro 00:38 Discuss new weekly office hours from noahgift.com for O'Reilly books and Coursera courses. 02:00 What are Microservices? 03:35 What are Microservices? 04:00 Characteristics of Microservices 06:00 What is a container? 09:00 ECS orchestration 11:00 Decomposing monolithic applications 12:32 AWS Fargate 13:00 What is serverless? 15:00 AWS Serverless offerings 15:30 AWS Lambda 23:00 AWS API Gateway 26:00 AWS Step Functions
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 32
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    Online Resource
    52 weeks of Swift : Episode 15: Swift optional chaining (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Continuing to go through Swift language guide 00:00 Intro 01:46 Person Class 04:03 If else statements 06:34 subscript with getter and setter and function 08:18 putting optional chaining together.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 33
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    52 weeks of Swift : Episode 16: Error handling (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Error Handing with Swift 00:00 Intro 01:07 Propogating Errors 01:47 Looking at an entire error propogation class 03:35 Using guards in Swift 06:01 Using catch in Swift 08:07 Using functions in Swift 09:45 Using a defer.
    Note: Online resource; title from title details screen (O'Reilly, viewed June, 21, 2022)
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  • 34
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    52 weeks of Swift : Episode 17: Concurrency (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Exploring concurrency options with Swift 00:00 Intro 01:14 Asynchronous code 03:20 Looking at await 06:19 Using async functions 07:00 Looking at for try await 08:59 Looking at async let 10:53 Exploring actor.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 35
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    52 weeks of Swift : Episode 11: Methods (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Apple Swift. This episode covers methods 00:00 Intro 01:01 Instance methods 03:40 The self Property 05:29 Modifying Value Types from Within Instance Methods 05:54 Type methods.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022). - Vendor-supplied metadata
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  • 36
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    52 weeks of Swift : Episode 12: Subscripts (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Apple Swift. This episode covers subscripts. 00:00 Intro 01:43 Subscript Syntax 03:30 Subscript Usage 05:00 Subscript Options 06:47 Subscript Matrix 07:00 Type subscripts.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 37
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    52 weeks of Swift : Episode 14: Inheritance (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: iOS (Electronic resource) ; Swift (Computer program language) ; Application software Development ; Mobile apps ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of Swift I talk about inheritence in Swift and how it is used to create a more robust toolchain for iOS and macOS. 00:00 Intro 00:50 Property Values 03:00 Invoking a base Class 05:00 Subclassing 06:49 Subclass of a Subclass 08:00 Overriding.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 38
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    52 weeks live coding : .NET-EP1 Github Codespaces (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Diving into C# and .NET from the beginning with Live coding each week. 00:00 Intro 02:38 New Repository 05:04 Launch Github Codespaces 11:30 Trying out .NET Blazor 16:13 Editing Blazor Pages 22:53 Setting up Github Actions to build and test C#.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
    URL: lizenzpflichtig
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