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  • Deza, Alfredo  (179)
  • Boston, MA : Safari  (142)
  • [Place of publication not identified] : Pragmatic AI Solutions  (37)
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  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Reinforcement learning ; Intelligence artificielle ; Apprentissage par renforcement (Intelligence artificielle) ; artificial intelligence
    Abstract: Introduction to Generative AI Get started with Generative AI and Large Language Models This introductory course is designed for beginners with no prior knowledge of generative AI. You will start by gaining a high-level understanding of what generative AI is and how it works. Through interactive lessons and hands-on examples, you will learn fundamental skills like providing effective prompts and iteratively improving the generated outputs. As the course progresses, you will dive deeper into specific major generative AI models, including their unique capabilities and limitations. Finally,, you will get practical experience using leading systems like GitHub Copilot, Qdrant, and OpenAI to generate code, and text. By the end, you will have developed core knowledge to start experimenting with generative AI in a responsible and effective way for a variety of applications. This course aims to provide a friendly introduction to prepare complete beginners for further exploration of this rapidly evolving technology. Learning objectives Learn to utilize Generative AI effectively Develop Generative AI software solutions Build solutions with Prompt Engineering to enhance Generative AI output Practice Labs Use the practice labs to test your knowledge and gain hands-on experience working with Python and Rust. These labs are based on GitHub templates that will help you to get started quickly and apply the knowledge in the course in building your own solutions. Learn Retrieval Augmented Generation: https://github.com/alfredodeza/learn-retrieval-augmented-generation Azure Chat with OpenAI: https://github.com/alfredodeza/azure-chat-demo Resources Azure LLMOps Practical MLOps book Rust Bootcamp Python Bootcamp.
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Microsoft Azure (Computing platform) ; Cloud computing ; Cloud computing ; Microsoft Azure (Computing platform) ; Rust (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Deploy Rust on Azure Functions Learn how to deploy Rust functions to Azure Functions with this comprehensive video course. You will start by creating a simple HTTP-triggered function, and then use GitHub Actions to automate your deployment. Deploying Rust in Azure can be frustrating because there is no first-class support yet for it. You will learn what are some of the caveats and what are some strategies you can use to properly deploy a very basic Rust HTTP API. Course Overview We will start by covering the basics of Azure Functions and Rust, and then dive into more advanced topics such as configuring your function's environment, application settings, and using external crates. By the end of this course, you will have a working knowledge of how to deploy and manage your Rust functions on Azure Functions using automation to quickly re-deploy or update your function. Course Content Introduction to Azure Functions - Learn the basics of Azure Functions and how they work with Rust. Creating Your First Azure Function in Rust - Create a simple HTTP-triggered function in Rust and deploy it to Azure Functions. Configuring Your Function Environment - Learn how to use environment variables to configure your function's behavior. Use GitHub Actions for automation 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. With Alfredo's guidance, you will gain the knowledge and skills needed to deploy and manage your Rust functions on Azure Functions. Resources Deploying containers to Azure Practical MLOps book Automated Azure Resource Cleanup Azure Fundamentals Certification.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Python (Computer program language) ; Rust (Computer program language) ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: DevOps command-line tools in Python and Rust Use both Python and Rust to automate systems engineering tasks In this introductory course, you will learn how to build powerful command-line tools using Python and Rust. You will discover how to set up a development environment, incorporate user input, expand functionality using modules and libraries, and optimize performance for common DevOps and Systems Engineering tasks. Whether you're new to programming or an experienced developer, this course will teach you the fundamentals of building command-line tools using Python and Rust. By the end of the course, you'll have the skills to automate tasks and improve the efficiency of your DevOps and Systems Engineering workflows. This course includes GitHub repositories that you can use as a reference for all the learning content: Python CLI Examples Rust CLI Examples Learn objectives Set up a development environment for building command-line tools. Build basic command-line tools. Expand the functionality of command-line tools using modules and libraries. Create a simple command-line tool using Rust and understand the basic structure of a Rust-based CLI tool. Incorporate user input, such as arguments and options. Learn how to organize code into modules and packages, and work with dependencies and libraries in both Python and Rust. 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 past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 24, 2023)
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/32
    Keywords: Linux ; Operating systems (Computers) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Linux for Beginners A hands on and practical introduction of Linux This early release (ongoing) course will give you a foundational knowledge to quickly get started with Linux. You will learn practical examples packaged in easy-to-follow videos that give you just enough knowledge to use Linux. There is a strong focus on using the terminal exclusively for this course, which is the best way to ensure a wide variety of Linux environments can be used with almost no difference in concepts. The course will not cover deep Linux internals or advanced usage. It will also not go through specialized scenarios that are meant to pass a Linux certification. Learn objectives Use a terminal to navigate the file system Understand different Linux versions and use readily available versions without installing Linux Use a shell with common features Create and edit files using a terminal text editor Manage system processes and services Install and remove packages 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 past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Windows Azure ; Machine learning ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This introductory lesson will walk you through everything you need to know to quickly get started with Azure ML Studio using AutoML. After creating the necessary resources, you'll walk through the steps needed to create a regression job using a dataset. Next you'll create a compute cluster and review the different options available and finally, you'll analyze the results after the best model is selected.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed January 23, 2023)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust Bootcamp Course Overview Welcome to our comprehensive Rust programming course! In this immersive learning experience, we will guide you through every aspect of Rust, empowering you to become a proficient developer. This course is ideal for beginners wanting to become proficient in Rust or from existing developers coming from languages like Python or JavaScript that want to learn Rust fundamentals. Get started by setting up your preferred text editor and installing Rust. We'll ensure that you have all the necessary tools to create a productive coding environment. By leveraging the capabilities of Visual Studio Code and enabling the Rust Analyzer, you'll unlock a feature-rich ecosystem that enhances your development workflow. Experience the game-changing potential of GitHub Copilot, an AI-powered assistant. Sign up for GitHub Copilot and witness its transformative impact on your coding experience. We'll guide you through the installation process and show you how to leverage its intelligent suggestions for accelerated programming. Master concepts and fundamentals like control flow, variable assignment, and immutability. Learn the intricacies of loops, conditional statements, and effective error handling techniques. With Rust's borrowing concept at your disposal, you'll develop secure and high-performance code. Build upon your foundation with advanced topics like structs, string manipulation, and working with vectors and enums. We'll explore real-world library development using Cargo, Rust's robust package manager. Effective documentation and debugging techniques will become second nature as you optimize your code. Organize your code effectively with modules, extending functionality and enhancing reusability. Dive into comprehensive testing methodologies to ensure the reliability and correctness of your programs. From writing tests for your code to handling private components, you'll gain expertise in developing robust software projects. Our immersive learning experience includes hands-on examples, interactive exercises, and practical projects. Rust's performance, safety, and expressiveness will be at your fingertips as you embrace its immense potential. Join us on this rewarding journey to unlock the power of Rust programming and propel your career forward. Enroll now and gain the skills, knowledge, and expertise to thrive in the world of Rust. Whether you're a beginner, coding novice, or an experienced developer seeking new horizons, our course is your gateway to writing elegant, reliable, and high-performance code. Embrace the possibilities of Rust and embark on a rewarding programming journey today with one of the most loved programming languages. Learning Objectives Gain a solid understanding of Rust's core concepts, including variable assignment, control flow, and immutability, to write efficient and reliable code. Master the utilization of powerful development tools such as Visual Studio Code and the Rust Analyzer, enhancing productivity and enabling seamless coding experiences. Explore GitHub Copilot and learn how to leverage its AI-driven suggestions to accelerate programming and boost code quality. Develop proficiency in working with advanced Rust features, such as structs, enums, and string manipulation, to build robust and flexible applications. Discover the intricacies of module organization and extend functionality through effective code structuring, promoting code reusability and maintainability. Acquire comprehensive testing skills, including writing tests for code components and handling private code, ensuring the reliability and correctness of Rust programs. Gain hands-on experience in real-world library development using Cargo, Rust's package manager, and become proficient in documenting code and debugging techniques. These compelling learning objectives will guide you through the course, helping you acquire essential skills and knowledge to become a confident Rust developer. Course Content This course is divided into 4 weeks with 3 lessons that contain about 6 videos each. Each video is about 5 minutes long and contains a hands-on demonstration of the concepts covered in the lesson. The course is designed to be taken in order, but you can jump to any lesson you want to learn more about. Week 1: Setting up your development environment Reference GitHub Repository Setting up your text editor Using GitHub Copilot with Rust Introduction to GitHub Codespaces for Rust Week 2: Rust fundamentals Reference GitHub Repository Introduction to Rust Loops and Control flow Function basics Week 3: Structs, Types, and Enums Reference GitHub Repository Using structured data Exploring strings and vectors Working with Enum and Variants Week 4: Applying Rust Reference GitHub Repository Building a real-world library Extending functionality with modules Testing Rust code 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 teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to build with the Rust programming language. Resources Deploy Rust on Azure Functions DevOps command-line tools in Python and Rust Switching to Rust from Python First Steps with Rust Learning Path.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 24 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Rust (Computer program language) ; Computer software Development ; Rust (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Rust For DevOps Learn how to use and apply DevOps principles using Rust This is an early release of the course. In this course, you will learn the basics of DevOps using the Rust programming language. DevOps helps you build, test, and deploy code faster while creating a robust foundation for your projects and teams. First, we will talk about what DevOps is. You will learn things like automation, monitoring, and working together as a team. Then, we will see how to use DevOps ideas in Rust code. You will learn about version control, testing, containers, and deploying Rust programs. Although this course explains the foundations of DevOps and using Rust which is ideal for beginners, experienced Rust developers will find solid advice in how to apply DevOps best practices to existing applications. Learning Objectives The core principles and practices of DevOps How to apply DevOps concepts to build, package, and deploy applications with Rust The basics of containerization and how to leverage containers for DevOps with Rust Course Content This course is divided into 4 weeks with 3 lessons that contain about 6 videos each. Each video is about 5 minutes long and contains a hands-on demonstration of the concepts covered in the lesson. The course is designed to be taken in order, but you can jump to any lesson you want to learn more about. Week 1: Introduction to DevOps Principles Introduction to DevOps Principles DevOps Considerations for Applications Basics of Containerization Week 2: Implementing monitoring and logging strategies Introduction to monitoring and logging strategies Tools and Services for monitoring and logging Logging with Rust 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 teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to build robust applications and infrastructure with the Rust programming language and for Rust applications. Resources Rust Bootcamp Deploy Rust on Azure Functions DevOps command-line tools in Python and Rust Switching to Rust from Python First Steps with Rust Learning Path.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Introduction to MLflow for MLOps Learn how to use MLflow for managing the machine learning lifecycle. Track experiments, package models, and deploy to production. In this course you'll learn how to use MLflow - an open source platform for managing the machine learning lifecycle. You'll learn how to: Install MLflow and explore its components like the UI, tracking, and model packaging Log metrics, parameters, and artifacts to track ML experiments Create reproducible ML projects with MLflow for repeatable model training Package models and dependencies for deployment and serving Use model registries to version, stage, and deploy models Deploy models to tools like Azure ML and SageMaker This course includes hands-on exercises, projects, and real-world examples so you can apply your new MLflow skills immediately. Use the reference repository for MLFlow examples and projects: Example MLFlow Projects Learning objectives Install and configure MLflow Use the tracking UI and APIs Log metrics, parameters, tags, and artifacts Create reproducible ML projects Version, stage, and deploy models with registries Deploy models to Azure ML, SageMaker, etc Lesson 1: Introduction to MLflow Lesson Outline Overview of MLflow components Installation and configuration Tracking experiments with UI, Python, R APIs Logging metrics, params, tags, artifacts Lesson 2: MLflow Projects Lesson Outline Motivation for reproducible ML projects Creating project directories Running projects locally or on Git Customizing execution environments Lesson 3: MLflow Models Lesson Outline Packaging models and dependencies Model versioning with registries Staging and promoting model stages Deploying models to services 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 teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to work with MLFlow and apply it to MLOps tasks. Resources Pytest Master Class Practical MLOps book.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) Study guides Examinations ; Application program interfaces (Computer software) Study guides Examinations ; Machine learning Study guides Examinations ; Computer programming Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Hands-on Python for MLOps Build powerful APIs, tools, and scripts with Python Use Python to create APIs and automation scripts for machine learning operations. Learn to leverage APIs, build CLI tools, and develop web services. If you are new to Machine Learning Operations or want to know more about the foundations of Python for MLOps, this course will walk you through the basics. In this course, you'll learn how to use Python for automation, APIs, and building useful command-line interfaces. We'll cover consuming APIs, creating CLI tools, packaging projects, and building web services to expose machine learning models. The course includes hands-on examples and projects so you can apply what you learn right away. By the end of the course, you'll have practical skills to automate workflows and develop interfaces for machine learning. This course includes GitHub repositories you can reference: Python CLI Examples Basic Python CLI Web API with Python and Hugging Face models Learn objectives Consume and use APIs and SDKs in Python Create command-line programs for automation Develop web services and APIs with Python frameworks Package Python projects for distribution Apply skills to build useful interfaces for ML models Lesson 1: Working with APIs in Python Lesson Outline Overview of APIs and SDKs Using the Requests Library Consuming REST APIs Python SDKs like NumPy and SciPy Project: Building a Python script using APIs Lesson 2: Building Command-line Interfaces Lesson Outline Intro to automation with CLI tools Parsing arguments and options Organizing code into modules Python packaging for distribution Project: CLI tool for machine learning Lesson 3: Developing Web APIs Lesson Outline REST API concepts Web frameworks like Flask and FastAPI Building an API with Flask Developing APIs with FastAPI OpenAPI specs and documentation Project: Web API for movie recommendations 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 past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence Study guides Examinations ; Microsoft Azure (Computing platform) Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Microsoft Azure AI Fundamentals (AI-900) Certification Pass the AI Fundamentals certification This early release (ongoing) course will give you everything you need to pass the Azure AI Fundamentals (AI-900) certification. This is the foundational certification for doing Machine Learning and Data Science using Azure and its specialized services. The course will go into every content that is relevant to pass the certification including how to create a study guide and strategy to pass the exam. This course includes and covers all of the author's study notes so that you can use them in addition to your own notes . Course overview This course contains a complete walkthrough over all of the content relevant for the AI-900 certification with a summary and specialized notes after each sections, following the same content that is available as Learning Paths. Aside from the video content, create your own study notes and strategy using the example reference guide Course Content Get Started with AI Get Started with AI Study notes Get Started with Artificial Intelligence on Azure 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 studying and passing the AI-900 is seen throughout this course, where you will get a first-hand experience with study notes, example repositories, and a solid study strategy. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 10, 2023)
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  • 11
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning Study guides Examinations ; Cloud computing Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Hugging Face for MLOps Learn how to leverage Hugging Face and its powerful machine learning capabilities. Build, train, and deploy your own models using the Hugging Face platform and libraries. In this course you'll get hands-on with Hugging Face and learn how to: Access and use pre-trained models from the Hub Fine-tune models with your own data Build machine learning pipelines with Hugging Face Transformers Add and version your own datasets Containerize and deploy Hugging Face models Automate workflows with GitHub Actions By the end, you'll have practical experience building, training, and deploying Hugging Face models, including production deployment to the Azure cloud. Learning objectives Find and use pre-trained models Fine-tune models for custom tasks Build ML pipelines with Hugging Face libraries Create and version datasets Containerize models for production Automate workflows for MLOps Lesson 1: Getting Started with Hugging Face Lesson Outline Overview of Hugging Face Hub Browsing models and datasets Using Hugging Face repositories Managing spaces and access Lesson 2: Applying Hugging Face Models Lesson Outline Downloading models from the Hub Using models with PyTorch/TensorFlow Leveraging tokenizers and pipelines Performing inference with Hub models Lesson 3: Working with Datasets Lesson Outline Browsing datasets on Hugging Face Uploading and managing datasets Versioning datasets with dataset cards Loading datasets in PyTorch/TensorFlow Lesson 4: Model Serving and Deployment Lesson Outline Containerizing Hugging Face models Creating inference APIs with FastAPI Deploying to cloud services like Azure Automating with GitHub Actions 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 teaching and authoring content about LOps will give you everything you need to get started applying these powerful concepts. Resources MLOps with Databricks Introduction to MLflow for MLOps Hands-on Python for MLOps.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; SQL (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Scripting with Python and SQL for Data Engineering Learn Python data structures, web scraping, SQL, and MySQL from the ground up. Master essential skills for collecting, storing, and working with data. In this hands-on course for beginners, you'll learn how to: Store and manipulate data using Python lists, dictionaries, JSON Write reusable scripts to process data Connect Python to databases like SQLite and MySQL Query, import, and export data with SQL Scrape and parse websites using Beautiful Soup and Scrapy Persist scraped data to databases and files You'll use the following example repositories to practice: Mapping data in Python Python Scripting Scrapping Basics Key topics include: Mapping, iterating, and persisting data structures Creating modules, scripts, and workflows in Python SQL essentials - queries, statements, aggregations Setting up connections from Python to SQLite and MySQL Scraping data locally and at scale with spiders Storing scraped data to optimize pipelines You'll build your data wrangling skills through practical examples and hands-on coding exercises in every lesson. By the end of the course, you'll have experience building end-to-end data engineering scripts. Whether you're a beginner looking to learn Python and SQL, or want to develop robust data engineering skills, this course will get you started. Enroll now and start collecting, storing, and working with data using Python and SQL You'll gain hands-on experience building Python scripts and SQL queries for common data engineering tasks. This course is divided in 4 weeks: Week 1 Working with Data in Python By the end of Week 1 you'll be able to: Apply Python data structures like lists, dicts Extract data from sources like CSV, JSON Load and persist data using JSON Lesson 1: Data Structures in Python Lesson Outline Lists, tuples, dictionaries Working with pandas DataFrames Loading data files like CSV into data structures Lesson 2: Reading and Writing Data Lesson Outline Reading and writing CSV files Serializing Python objects with JSON Parsing and dumping JSON data Lesson 3: Persisting and Loading Data in Python Lesson Outline Loading data from files Saving data from Python to disk Loading and saving data to JSON Week 2 Python Scripting and SQL By the end of Week 2 you'll be able to: Write reusable Python scripts Use SQLite to persist data Query SQLite databases with Python Lesson 1: Python Scripting Techniques Lesson Outline Writing modular, reusable Python scripts Exception handling and logging Python virtual environments Lesson 2: Python with SQLite Lesson Outline Creating SQLite databases from Python Writing tables with SQLAlchemy Querying SQLite from Python with SQLAlchemy Week 3 Learning Objectives By the end of Week 3 you'll be able to: Scrape and collect data from websites Build scalable scraping scripts Persist scraped data to files/databases Lesson 1: Web Scraping with Python Lesson Outline HTML parsing and structure Using Beautiful Soup for scraping Storing scraped data in Python Lesson 2: Scalable Web Scraping Lesson Outline Scraping best practices Scaling scraping with multiprocessing Storing scraped data in databases Week 4 Learning Objectives By the end of Week 4 you'll be able to: Connect to MySQL from Python Execute SQL statements and queries Import and export data from MySQL Lesson 1: Python and MySQL Lesson Outline Installing MySQL and configuration Connecting Python to MySQL Executing queries and statements Lesson 2: Running SQL queries from VSCode Use Visual Studio Code to build SQL queries Execute and review SQL queries from Visual Studio Code Lesson 3: Importing and Exporting Data Lesson Outline Loading and exporting CSV data Best practices for moving data into MySQL Automating data imports with Python 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 teaching and authoring content about DevOps and MLOps will give you everything you need to get started applying these powerful concepts. Resources Python and Rust CLI Tools Linux For Beginners Hands on Python for MLOps.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build solutions with Go and the AWS Cloud9 environment via the AWS SDK
    Note: Online resource; Title from title screen (viewed January 9, 2022) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Build a command-line tool with Apple's Swift language.
    Note: Online resource; Title from title screen (viewed January 10, 2022) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Build a very simple command line tool with Python without using external dependencies or frameworks. In this video you'll see how with just a few lines of Python you can transform a file into a script with a help menu. All by using the sys.argv module and a simple if statement. Although you can create more powerful command-line tools with other frameworks like argparse or external libraries like Click, you can still implement a quick script without them that includes a help menu Useful links: Github repo with sample code Introduction to Python
    Note: Online resource; Title from title screen (viewed February 5, 2022) , Mode of access: World Wide Web.
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  • 16
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Find out how to share and use Google Colab notebooks for data science!
    Note: Online resource; Title from title screen (viewed January 14, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: How to use ~/.bashrc to manage project secrets
    Note: Online resource; Title from title screen (viewed January 16, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to deploy an AWS Lambda Function in Python with CDK. 00:00 Intro 00:36 Verify CDK Version 01:00 Initialize Python CDK app 02:09 Create AWS Python Lambda 02:50 Add AWS CDK Stack for AWS Lambda 03:42 Run cdk diff 04:06 bootstrap cdk 05:31 run cdk deploy result 06:01 test AWS Lambda in Console
    Note: Online resource; Title from title screen (viewed January 24, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to perform Continuous Delivery of Container Based Projects using ECR, Cloud9 and App Runner. 00:00 Intro 00:27 Architectural Overview 01:30 FastAPI project overview 01:50 Setup AWS Cloud9 03:20 Setup ECR 05:00 Setup AWS App Runner
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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  • 20
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    [Place of publication not identified] : Pragmatic AI Solutions
    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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  • 21
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps packaging: HuggingFace and Docker Hub Use automation to package models Learn how to package a HuggingFace GPT2 model using automation with MLOps and pushing the result to Docker Hub. 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 Docker Hub 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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  • 22
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Windows Azure ; Cloud computing ; Windows Azure ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Automated deletion of Azure Resources Prevent surprise bills with automation Prevent your Azure bill from running wild! In this video I show how you can automate the removal of Azure resources on demand or by schedule. With GitHub Actions and an Azure account you can prevent services from running wild and causing unnecessary billing overcharges! With automation in place, there is no need to remember what VM you left running! First, you'll start by creating a GitHub Action that authenticates to Azure, then you will query locally your resource groups to identify which ones you can delete. Next, you will port the query over to the Action workflow. Finally, you will delete resources that match, making sure those are fully removed, preventing a large bill. You will need a GitHub and Azure account, an Azure Service Principal and the Azure CLI installed locally. Learning Objectives In this lesson you will learn: Create a GitHub Action workflow to query Resource Groups Query Resource Groups that match locally Use scripting to extract Resource Group names Remove Resource Groups with the Azure CLI in GitHub Actions Useful Resources Sample GitHub repository Create an Azure Service Principal for GitHub Actions Azure Service Principal documentation Install Azure CLI 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 20, 2022). - Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 23
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    [Place of publication not identified] : Pragmatic AI Solutions
    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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  • 24
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Web site development ; Python (Computer program language) ; Web site development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Testing for Beginners Over 1 hour of course material with practice code Quickly learn learn how to test in Python Learn the basics of Python testing in this course. From a brief overview of the standard library to using a more modern approach with Pytest, one of the most popular testing libraries in Python. By the end of this week, you should be comfortable working with existing tests, creating new tests, and debugging test failures. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learning Objectives In this course you will learn to: Understand the basics of testing and its importance Write and run tests with functions and classes Use Pytest for running and creating tests Apply different techniques for debugging including PDB and stopping on failure Use fixtures to simplify tests that make identical assertions Resources Python for beginners course Python Functions and Classes course Python Dictionaries course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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  • 25
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Introduction to Azure Functions Create a function with Python and Flask Learn how to create an Azure Function in the fastest way using instant deployment with Visual Studio Code, and then find out how to take it to the next level by using the Flask framework to take advantage of common Python patterns you might already be used to. Finally, we'll go through automation steps using GitHub Actions so that you can re-deploy your Azure Function after merging changes. This will give you confidence for deployment, make it less error-prone, and give you a foundational workflow to implement serverless technology using the Azure cloud. Learning Objectives Create an Azure Function using the Azure Portal Quickly build a function using Visual Studio Code Deploy in one click with the Azure Functions extension Modify your code and routes to use Flask Use GitHub Actions for automating the deployment process 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 GitHub Codespaces course Microsoft Azure Fundamentals (AZ-900) Certification Pytest Master Class Practical MLOps book.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 26
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build an S3 Bucket Lister Console app using VS 2022 and AWS targeting .NET 6.
    Note: Online resource; Title from title screen (viewed January 3, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Build a robust Python CLI tool with argparse The argparse module is part of the Python standard library and meant to help you build robust command line tools. Once you need flags, switches, values, or positional arguments, it is very difficult to achieve that without using a framework. In this case, argparse can help build all you need to handle inputs in the terminal. We'll see how a single file named size.py that calculates file sizes can make use of argparse to handle the input in the terminal. Then, we will cover how error handling is done automatically when the expectations from argparse aren't met. And finally, we'll go through some of the help menu options that construct the body of the help output. Check the resources section for the GitHub repo with sample code Why would you want to use argparse Since argparse is part of the Python standard library, there is no need for you to define or install any external dependencies. You are ensuring that any Python installation in any system will work correctly out of the gate. A very basic Python CLI tool without dependencies using the argparse module Next steps Now that you know how to enhance a Python script into a more powerful one with argparse , you can try out other frameworks like the Click framework or something much simpler by using the sys module. I have examples and guides for the sys.argv module and for using the Click framework . Useful links and resources GitHub repo with sample code Build Python applications from scratch Setup your Data Science environment with VSCode
    Note: Online resource; Title from title screen (viewed February 8, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Step up your local setup by setting a remote compute instance with attached SMB storage and then connect your local VSCode editor so that you can execute code and Jupyter Notebooks remotely. In this video I go through everything you need to know to crete a compute instance in Azure, both in Azure Machine Learning Studio and using the Data Science Virtual Machine spot instance that allows you to save costs when running a high memory with GPU instance. Because remote compute instances in the cloud should be considered ephemeral, specially if you are using spot instances, this video also covers setting up a storage account and a file share configuration for a Samba share that allows you to attach that same storage to any compute. Topics include: Create an Azure compute instance Learn about Spot Instances and other cost savings Setup VSCode for remote code execution Create an SMB file share and attach it to a VM Execute Jupyter Notebooks remotely Useful links: * Github Repository with summary instructions * Create a File share documentation on Azure * Data Science VMs in Azure
    Note: Online resource; Title from title screen (viewed January 13, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: What are the three most important files in a Python project? * Makefile * Dockerfile * Requirements
    Note: Online resource; Title from title screen (viewed January 21, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Find out what Github Codespaces is and how to use it to write Python in under 2 minutes
    Note: Online resource; Title from title screen (viewed January 13, 2022) , Mode of access: World Wide Web.
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.26/2
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to run Python scripts on GitHub Actions! This allows you to handle logic that might be a bit more complex, like setting conditional behavior based on results. I'll show you how in this GitHub Actions lesson for beginners so that you can use this in your own repository easily. Example repo in the lesson resources. Although GitHub actions is powerful as-is, it can get complicated when consuming inputs from other sources like an HTTP request providing JSON output. Imagine a scenario where, depending on the JSON output of an HTTP request you have to do an API call. You might be able to do this with a specialized action or workflow, but with Python it might be easier.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Information storage and retrieval systems ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to use Python dictionaries to store and retrieve data. Although dictionaries look complex with different ways to represent, retrieve, and store data, they can be straightforward to use. In this course I'll show you how to create, store, retrieve, and loop over dictionaries. Once you go through these different actions, you should be able to choose the right approach to work effectively with dictionaries. If you are already familiar with Python lists and you are ready to take the next step with dictionaries, then this course is for you.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    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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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13
    Keywords: Text editors (Computer programs) ; Text editors (Computer programs) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: VSCode for the web Use VSCode directly on the web for editing Git repos Although you can use VSCode locally, using it in the web allows you to avoid having an install and dealing with platform problems. There is no account required and you can directly edit GitHub repositories on the web. In the case of Python, there are a couple of constraints that you must be aware of, like no support to run the terminal and execute a Python program. But syntax and intellisense works great, and we can even make Jupyter Notebooks work with the help of an extension. If you are a beginner and trying out different text editors, or even if you are a seasoned developer, you will find a case to use this feature of VSCode. Learning Objectives In this lesson you will learn: Opening a GitHub repository directly on the web and start editing it Commit and push changes from VSCode on the web to GitHub What are the constraints and limitations of the Python support Use Jupyter Notebooks and find what are some of the problems you may find Useful Resources VSCode for the Web documentation Minimal Python book Free Azure Certification for Students Develop web applications with Visual Studio Code.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Computer software Development ; Computer software ; Development ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps packaging: HuggingFace and GitHub Container Registry Use automation to package models to GitHub Learn how to package a HuggingFace GPT2 model using automation with MLOps and pushing the result to GitHub Container Registry. With just a little bit of Python and FastAPI you can have a powerful text generation API that is self-documented! Automation is a foundational piece of MLOps, and using GitHub Actions to package a model automatically and on-demand with GitHub Actions you can create robust deployments and testing scenarios for machine learning operations. 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 GitHub Container Registry (ghcr.io) Resources Example repository Practical MLOps book MLOps Maturity Model Packaging ML models.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 24, 2022)
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to prototype Amazon Web Services (AWS) ai and ml apis using awscloudshell and bash.
    Note: Online resource; Title from title screen (viewed January 7, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn the Apple Swift Languages by using the XCode Playground environment.
    Note: Online resource; Title from title screen (viewed January 11, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Setup quick and easy way to mount a SAMBA (SMB) file share in an Azure VM with a pre-configured BASH script. The shell script will allow you to automatically mount the share and save your work. This type of workflow allows your infrastructures and virtual machines to be resilient to failure. This is a short video that covers only setting up SMB on a VM. For a full video with setting up the VM, SSH access, and connect a remote compute to VSCode go here Follow along with more examples in the Github repository This video covers: Create a Storage Account Create a File Share for a Storage Account Use SSH to connect to a remote Virtual Machine Use a pre-configured shell script to mount the share Verify files and directories through the Azure portal 00:00 Introduction 00:26 Azure Portal Virtual Machines 01:00 SSH Connection string 01:41 Create a Storage Account in Azure 03:18 Create a File Share (SAMBA) in Azure 04:12 SAMBA connection snippet in BASH (Shell script) for mounting 05:06 Create the script in the Virtual Machine 05:34 Mount the SAMBA share and verify it is mounted in /mnt/ 06:45 Verify created files are available in the Azure Portal for the File Share Useful links: * Github Repository with summary instructions * Create a File share documentation on Azure * Data Science VMs in Azure
    Note: Online resource; Title from title screen (viewed January 27, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use AWS Data Governance and Auditing Tools.
    Note: Online resource; Title from title screen (viewed January 15, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build out Continuous Integration with Github Actions and all clouds. Azure, AWS, GCP and Github Codespaces in Python.
    Note: Online resource; Title from title screen (viewed January 18, 2022) , Mode of access: World Wide Web.
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Big data ; Microsoft Azure (Computing platform) ; Données volumineuses ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Azure Databricks with Pandas and Open Datasets. Find out how to get a working cluster with Databricks using Azure and then use the full Pandas API operating in the cluster with Open Datasets and a Python Jupyter Notebook. This video will walk you through creating a workspace in Azure to create the Databricks service, then create the cluster that comes with the Pyspark Pandas API, and finally import the open datasets into the cluster. Although straightforward to create a Databricks cluster with Azure, it is a bit more involved to run a Python Jupyter Notebook that has Azure ML Open Datasets installed and availabe in the cluster along with the ability to use the full Pandas API you are used to working with and taking advantage of the clustering capabilities from Databricks.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 10, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: VSCode development environments Learn different options for programming with VSCode Find out different ways you can use VSCode for development: on the web, with Codespaces or locally with configurable Docker containers This video will cover what makes each one different and when you might want to use one vs. the other. From quick edits on GitHub to a more powerful machine backed by a remote compute using Codespaces, it is all about flexibility! Topics Covered Include: Use quick edits with GitHub.dev that show on your repository Open any repository with VSCode.dev Use Codespaces with a powerful remote compute Configure a local codespace with Devcontainers using Docker Additional 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.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Numerical analysis Data processing ; Information visualization ; Information visualization ; Numerical analysis ; Data processing ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Intro to Pandas Over 1 hour of course material with practice code Quickly learn to use Pandas with examples Learn how to work with data using Pandas and NumPy. From loading and reading datasets from different sources to plotting graphs and exploring common problems in data. Pandas will allow you to perform transformations and export your data into different formats, and NumPy will boost your ability to work with numerical data. This course is meant for beginners that want to understand Pandas from the start and find more about NumPy. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learning Objectives In this course you will learn to: Load and export data from different sources Manipulate data in datasets Apply functions and transform columns Query for specific data Perform common operations on NumPy arrays Resources Python for beginners course Python Functions and Classes course Python Dictionaries course Introduction to Testing in Python course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    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)
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Building AI APIs with .NET 6 and AWS Comprehend
    Note: Online resource; Title from title screen (viewed January 8, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: A walkthrough of building a basic phrase repeater console application in VS Code 2022, .NET 6 and C# 10
    Note: Online resource; Title from title screen (viewed January 1, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Demo of FastAPI + AWS App Runner
    Note: Online resource; Title from title screen (viewed January 13, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Perform Data Science on Day One! 00:00 Intro 02:02 Data Science Project Structure Overview 05:15 Create Github Repo 07:28 Launch Github Codespaces 11:34 Using Colab Notebook 12:47 Using TOC in Colab Notebook 14:43 Saving notebook to Colab to Github 19:52 Ingesting CSV files into Colab 22:31 Describing Data using df.describe() 24:30 Plotting data with seaboard 28:30 lmplot 29:30 Comparing cumulative deaths in Covid19 plot by state 32:40 Merging Pandas Dataframe with election and Sugar Consumption 37:38 Exporting CSV file and uploading to Github from Colab result 39:27 Continuous Integration of Jupyter Notebook with Github Actions 40:44 Create Makefile 44:32 Using Github Actions to test Jupyter via nbval plugin 45:43 Using Github Status Badge for Jupyter Notebook test run pass
    Note: Online resource; Title from title screen (viewed January 22, 2022) , Mode of access: World Wide Web.
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  • 49
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.26/2
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Python Command Line Tools Course This is a full Python CLI course that will take you from the most basic approaches to command line tools in Python to the more advanced featuers that use frameworks like argparse and Click. Everything on this course is available in the course Repository on GitHub, so that you can follow the examples closely and use that as a foundation with all examples and sample files. Building a CLI is the foundation for automation in your daily work By the end of the course you should feel confident in creating a tool, and the following: Create simple CLI tools without any frameworks Learn about arguments, flags, help menus and how to create them automatically Use the argparse framework to build more complex tools Build a CLI with the Click framework Use special features of Click like colored output and argument types Modularizing and project scaffolding in Python Packaging and packaging files in Python How to create tests and run them automatically Continuous Integration and Continuous Deployment with Github Actions for Python Packaging a CLI tool with an executable Distributing a CLI tool on PyPI (the Python Package Index) How to automatically test your project on a PR (GitHub pull request) How to automate publishing your tool to PyPI on a release We'll cover 3 different ways to create tools, from the very basic (with sys.argv) to using a framework that comes with Python ( argparse), and finally the more involved, by using an external library like Click. This flexibility is essential because it will let you decide when to use a simple single file with no dependencies to a fully featured framework like Click. Then you will learn about the project layout, modularizing and organizing your code in directories and files while keeping everything useful for a CLI. You will test your code using Pytest and then package your code using Python packaging files and tools. You will continue by automating everything, including the testing and linting using GitHub Actions, and finally publishing your project to the Python Package Index so that it can be installed by anyone in the world. Course Resources Course Repository on GitHub Build Python applications from scratch.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: What is the if __name__ condition in Python for? If you've seen __main__ at the end of a Python script and wondered why that is there it is to avoid side effects when importing and allowing you to run the file as a script on the terminal. If you want more details, watch this short video where we work with a Python script to find out those side effects and how the Python script can change once the if condition with __name__ is done at the end. Next Steps Now that you know about the conditional at the end, you might want to explore writing Python scripts that use this trick. There are several examples you can follow in these GitHub repositories with argparse, the Click framework and using sys.argv: argparse GitHub repo examples sys.argv GitHub repo examples Build Python applications from scratch.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    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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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 2 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python for Beginners Over 1 hour of course material with practice code Quickly learn learn the basics of Python In this course, you will learn how to undersetand Python fundamentals. This is an easy course for absolute beginners that will get you introduced to logic, variables, types, and data structures. This should be the first step when learning Python, and this course includes example repositories with interactive Jupyter Notebooks that you can use to practice yourself. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learn Objectives This course has extensive content that covers Python for beginners and then moves onto data structures including handling logic and applying it to sample problems. It will include the following learning objectives: Work with logic in Python Assign variables and use variables Use different data structures like lists and dictionaries Explore some other data structures like tuples and sets Add, modify, and extract data from data structures Resources Python Dictionaries course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Computer software Development ; Computer software ; Development ; Rust (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Rust Learning Rust by Live Coding This video series live codes Rust and iteratively learns the language. Lessons Covered Include: 1.0 52 weeks rust ep 1 getting started setup env 2.0 52 weeks rust ep 2 starting scripts 3.0 52 weeks rust ep 3 functions 4.0 52 weeks rust ep 4 loops 5.0 52 weeks rust ep 5 ownership more looping Learning Objectives Learn Rust 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)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Functions and Classes Over 1 hour of course material with practice code Quickly learn learn the basics of Python functions and classes In this course, you will learn how to work with functions, classes and methods. These are the basis of almost any program you might create with Python. Functions and classes are useful for organizing code, increasing maintainability and code reuse. This course is perfect for beginners to Python that want to go beyond variables and logic and want to start working with object-oriented programming. This course includes example repositories with interactive Jupyter Notebooks that you can use to practice yourself. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learn Objectives This course includes the following learning objectives: In this week you will learn to: Create and work with functions. Build classes and methods. Require arguments or make them optional Use keyword arguments and use fallback values Resources Python Bootcamp for Data course Python for Beginners course Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/65
    Keywords: PostgreSQL ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Azure PostgreSQL Setup and deploy an Azure PostgreSQL database Learn how to setup a PostgreSQL database using the Azure cloud. From the different options you have to create a PostgreSQL database (flexible or single server) to connection strings and firewall settings. This video will walk you through all you need to know to setup the resources, understand the constraints, and then correctly connect from a remote workstation using psql . Learning Objectives In this video you will learn to: Use the Azure Portal to create a PostgreSQL database Select between single and flexible server options Understand the constraints to create a database Setup firewall settings for external access Use psql to connect from a remote workstation to PostgreSQL Use the default database to connect Resources Azure Fundamentals Certification Azure Fundamentals quick reference guide Azure remote compute for VSCode Automated Azure resource cleanup Learn Azure ML (AutoML) in One hour.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Windows Azure Study guides Examinations ; Database management Study guides Examinations ; Cloud computing Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Microsoft Azure Fundamentals (AZ-900) Certification Pass the Azure fundamentals certification This early release and ongoing course will give you everything you need to pass the Azure Fundamentals (AZ-900) certification. This is the foundational certification for Azure which is essential for working in Microsoft's cloud. The course will go into every content that is relevant to pass the certification including how to create a study guide and strategy to pass the exam. Course overview This course contains a complete walkthrough over all of the content relevant for the AZ-900 certification with a summary and specialized notes after each sections, following the same content that is available as Learning Paths. Aside from the video content, create your own study notes and strategy using the example reference guide This course includes all of the author's study notes so that you can use them in addition to your own notes. Course Content Describe Cloud Concepts Cloud Concepts Study notes Introduction to Azure Fundamentals Discuss Azure concepts Describe code Azure Architectural components 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 studying and passing the AZ-900 is seen throughout this course, where you will get a first-hand experience with study notes, example repositories, and a solid study strategy. Resources Study notes Quick AZ-900 reference guide Azure Remote Compute for VSCode Automated Azure Resource Cleanup Azure SAMBA file share Learn Azure (AutoML) in one hour Deploying containers to Azure Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Bootcamp for Data Learn foundational Python with an emphasis for data In this course, you will learn how to work effectively with Python. You will understand how to use variables, create functions, and work with classes. That foundational knowledge will allow you to understand testing and testing techniques to validate your work and then move onto Pandas and Numpy which allows you to work effectively with data sets and other data science tasks. This is valuable for anyone wanting to get a quick introductory course on Python, like a student, programmer new to Python or aspiring data engineer or data scientist. At the end of this course you'll be ready to work with more advanced concepts with Pandas and Numpy with a solid foundation in Python for any other task. All lessons and videos have accompanying GitHub Repositories with example code. Learn Objectives This course has extensive content that covers Python for beginners and then moves onto more complex Python operations including data analysis, exploration, and manipulation with Pandas and NumPy. It will include the following learning objectives: Work with logic in Python, assigning variables and using different data structures Create functions and classes of different types Write, run, and debug tests using Pytest to validate your work Manipulate data with Pandas Create and modify NumPy arrays Index This course is divided into content for 4 weeks, with 3 lessons per week: Week 1: Introduction to Python Reference GitHub Repository Working with variables and types Introduction to Python data structures Adding and extracting data from data structures Week 2: Python functions and Classes Reference GitHub Repository Working with functions Building classes and using methods Modules and advanced usage Week 3: Testing in Python Reference GitHub Repository Introduction to testing Writing useful tests Test failures Week 4: Introduction to Pandas and Numpy Reference GitHub Repository Basic Pandas usage Working with datasets Introduction to NumPy Resources Week 1 GitHub repository: Introduction to Python Week 2 GitHub repository: Python Functions and Classes Week 3 GitHub repository: Testing In Python Week 4 GitHub repository: Introduction to Pandas and Numpy Python dictionaries Learn Module Testing In Python book Minimal Python book Python for Beginners Learn Path Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Windows Azure ; Cloud computing ; Windows Azure ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Azure in GitHub Actions Authenticate to Azure with GitHub Actions If you need to use GitHub Actions and interact with Azure resources, you'll need to authenticate properly. Authenticating is made easy by direct Action support in a workflow, but it requires a Service Principal created in a specific way that produces output that is required to go into a GitHub Secret. Using a sample GitHub repository, the video lesson will cover all the details you need to know to get a working GitHub workflow step to authenticate to Azure and then use the Azure CLI to perform operations. Learning Objectives In this lesson you will learn: Create a GitHub Action workflow to login to Azure Create an Azure Service Principal with enough permissions Add a GitHub Actions Secret from the Service Principal Run the workflow that uses the Azure CLI Useful Resources Sample GitHub Repository GitHub Actions and GitOps in One Hour Run Python in GitHub Actions Azure Service Principal documentation How to install the Azure CLI Free Azure Certification for Students.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: First episode of 52 Weeks of Swift. Cover Swift Playgrounds in Xcode as well as building a command-line tool using third party Swift argument parsing.
    Note: Online resource; Title from title screen (viewed January 12, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: I walk through the official Swift guide and try out Operators. 00:00 Intro 02:47 basic statements 08:00 Basic operator types 14:59 Conditional Statements 22:00 For loops with range 28:00 NOT AND OR
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Episode 10: Solutions Architect Part 2- EC2 00:00 Intro 02:50 Compute choices 13:00 Instance Type 15:00 User data input 22:00 EC2 Storage 24:00 EFS
    Note: Online resource; Title from title screen (viewed February 8, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Part 1 of solutions architect cert 00:00 Intro 01:30 Overview of Exam 07:00 AWS Architecture 08:00 Well Architected 11:00 Scalability 17:00 AWS Regions 22:00 AWS S3 26:00 AWS Costs 28:00 AWS Snowball and Snowmobile
    Note: Online resource; Title from title screen (viewed February 2, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to develop with AWS App Runner and AWS Lambda
    Note: Online resource; Title from title screen (viewed January 19, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Episode 5: Collections Swift Collections 00:00 Intro 01:52 Collection Types 04:00 Array 07:00 Type Inference with Arrays 15:00 Sets 21:00 Dictionaries
    Note: Online resource; Title from title screen (viewed February 8, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: 52 Weeks of AWS Episode 5: I dive into the penultimate Cloud Practitioner Material. Part3 + Network and Content Delivery, Compute Storage
    Note: Online resource; Title from title screen (viewed January 4, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Interview with O'Reilly authors John Culkin and Mike Zazon for AWS Cookbook. Buy a copy here: https://www.amazon.com/AWS-Cookbook-Recipes-Success/dp/1492092606/ 00:00 Intro 02:00 Why book? 10:00 VMs vs Containers 17:00 security scanning containers 26:29 Demo recipes 32:56 CDK 55:15 cleanup
    Note: Online resource; Title from title screen (viewed February 1, 2022) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: In this episode I dive into IAC with AWS Lambda on AWS Cloud9 00:00 Intro 02:00 Overview of IAC Architecture 05:00 Setup AWS Cloud9 06:57 Read CDK Project Setup 08:00 Upgrade CDK 12:33 Create AWS Lambda in Python Marco/Polo Function 14:08 Setup CDK Stack 15:32 Deploy Changes via CDK Deploy 19:32 Invoke Lambda via CDK 21:15 Invoke Lambda via Cloud9
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Apply DevOps principles to Jenkins by automating tasks using the Jenkins API with Python. Create a powerful command-line tool with the Click framework to harness the API and trigger remote jobs with a simple invocation. Using code (and Python in this case) to automate frequent tasks is an import DevOps principle that you should apply whenever possible. Some of the concepts in this video are covered in the Python For DevOps book. Learn how to identify core concepts when trying to automate something like Jenkins, like identifying the API access, authorization, and the possibility of finding a helper library to make things easier. your Machine Learning model by following core best-practices of MLOps. Topics include: * Setup a main Jenkins instance with Docker, using the official Jenkins LTS image. * Create a user with an API token, so that it is authorized to operate Jenkins. * Use a Jupyter notebook to try out the API using Python and figure out concepts that can be applied later * Create a command-line tool using the Click framework to quickly trigger Jenkins jobs. Useful links: * Jenkins LTS Docker image documentation * Official Jenkins LTS Docker image * Python-Jenkins library documentation * Python-Jenkins Library * Python for DevOps Book
    Note: Online resource; Title from title screen (viewed August 2, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Packaging in Python has always been polarizing. From complicated beginnings where you couldn't uninstall libraries, to virtualenv that allows you to work in a self-contained environment that can be thrown away. In this video, I'll present an introduction to Conda, and to a chanel-specific variation of it that is maintained by the community called miniforge. If you are looking for a way to get scientific packages for the new Apple M1 silicon, this video will also help you out get everything sorted, including installing versions of Python that are pre-packaged and ready for data science tasks. Topics include: * Install Conda by using the community version called miniforge. * Use conda to install a specific version of Python, without system installs * Find more about the differences between virtualenv, pip, and conda * Install data science libraries in the new Apple M1 silicon Useful links: * Conda documentation * Conda Forge community documentation * Conda miniforge project
    Note: Online resource; Title from title screen (viewed August 18, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to ruthlessly scrape data using APIs you discover as well as cut and paste. Topics include: * Business Analytics * Data Science * Google Colab * Jupyter * Scraping * Cut and Paste * Google Sheets * Cleaning Data * Using Pandas with found data * Using the Twitter and Pandas API
    Note: Online resource; Title from title screen (viewed September 4, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: It is essential to have a strategy defined when figuring out your career. Starting out is difficult. Regardless what your background is, you need to have a clear idea how to get to your dream job. Even if you are not in technology and want a data-science position, you have to have a clear path towards data-science. In this video I'll cover some of the stories that allowed me to gain perspective in my career in tech, along with some advice that can help you out. Topics include: * Find some techniques to define your career and next steps * Design a custom strategy to help answer career questions * Accurately determine what might be a good job or position Useful links: * Start a career in Tech * Learn Python from scratch
    Note: Online resource; Title from title screen (viewed September 13, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use optimization techninques along with AWS Step Functions
    Note: Online resource; Title from title screen (viewed September 12, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Identify cognitive bias in software engineering including dunning-kruger and bikeshedding
    Note: Online resource; Title from title screen (viewed September 27, 2021) , Mode of access: World Wide Web.
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  • 74
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    Language: English
    Pages: 1 online resource (1 video file, approximately 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to to use Data Science methodology for infrastructure Topics include: * Does Anything work? * Feedback Loops * Kaizen * Full stack data science
    Note: Online resource; Title from title screen (viewed October 3, 2021) , Mode of access: World Wide Web.
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  • 75
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    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build data pipelines! Topics Covered Include AWS Lambda, AWS Athena, Jenkins, AWS Step Functions.
    Note: Online resource; Title from title screen (viewed October 27, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to master Pytest from Zero. Topics Covered Include: * Setting up Github Codespaces * Setting up AWS Cloud9 * Using Github Actions * Using AWS Code Build * Using Pytest fixtures * Using Pytest with code coverage * Using Pytest with Click command-line testing * Using Pytest with Flask Microservice testing * Matrix Testing With Github Actions
    Note: Online resource; Title from title screen (viewed October 27, 2021) , Mode of access: World Wide Web.
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  • 77
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    Language: English
    Pages: 1 online resource (1 video file, approximately 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn code as infra with CDK from AWS Topics Covered Include:
    Note: Online resource; Title from title screen (viewed October 26, 2021) , Mode of access: World Wide Web.
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  • 78
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    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use Python to create statements in under an hour. The following techniques are covered: Lists,Dictionary, For Loops
    Note: Online resource; Title from title screen (viewed November 11, 2021) , Mode of access: World Wide Web.
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  • 79
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    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use Python Functions The following techniques are covered: AWS Lambda, Generators, Closers and Partials
    Note: Online resource; Title from title screen (viewed November 11, 2021) , Mode of access: World Wide Web.
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  • 80
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to take Python functions and make command-line tools, test them, and deploy them as a FastAPI Microservice on the AWS platform using AWS SDK boto3.
    Note: Online resource; Title from title screen (viewed December 2, 2021) , Mode of access: World Wide Web.
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  • 81
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    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use AWS Cloud Shell to master the AWS ecosystem. In this tutorial the following techniques are covered: Bash, ZSH, Powershell, S3, Lambda, Python, IPython, Pip, Boto3, DynamoDB and Cloud9.
    Note: Online resource; Title from title screen (viewed November 21, 2021) , Mode of access: World Wide Web.
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  • 82
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    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use AWS Sagemaker Studio to build ML solutions. Example covered include Autopilot, Platform Overview, Architecture and features. Finally a Sagemaker Jumpstart example is walked through.
    Note: Online resource; Title from title screen (viewed November 17, 2021) , Mode of access: World Wide Web.
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  • 83
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    Language: English
    Pages: 1 online resource (1 video file, approximately 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build a Python CLI using Python Click from scratch as well as test it using Github Actions. All in under one hour. New 11-11-2021 edition.
    Note: Online resource; Title from title screen (viewed November 11, 2021) , Mode of access: World Wide Web.
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  • 84
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    Language: English
    Pages: 1 online resource (1 video file, approximately 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: A brief overview of the MLRun open source MLOps framework.
    Note: Online resource; Title from title screen (viewed November 29, 2021) , Mode of access: World Wide Web.
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  • 85
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    Language: English
    Pages: 1 online resource (1 video file, approximately 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: I walk through the new AWS Sagemaker Labs environment
    Note: Online resource; Title from title screen (viewed December 16, 2021) , Mode of access: World Wide Web.
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  • 86
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn the foundations of MLOPs Topics include: * Linux and Bash * AWS Cloud9 and AWS Cloud Shell and other Cloud Topics * The intuition behind MLOps techniques: optimization, gradient descent and data science.
    Note: Online resource; Title from title screen (viewed August 7, 2021) , Mode of access: World Wide Web.
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  • 87
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    Language: English
    Pages: 1 online resource (1 video file, approximately 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Topics include: * Solar * Tesla * Nest * Smart Home * Time of Use * Net metering * Battery Backup * EV (electric vehicle) * Artificial Intelligence * Level 1 Charging * Level 2 Charging * Level 3 Charging
    Note: Online resource; Title from title screen (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use AWS Step Functions to solve problems
    Note: Online resource; Title from title screen (viewed September 12, 2021) , Mode of access: World Wide Web.
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  • 89
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A walkthrough of Chapter 7 of the O'Reilly book Practical MLOps. Learn about real-world computer vision including a recap of Tesla AI day 2021. Topics include: * Getting models into production * Tesla FSD * Tesla Computer Vision * Tesla AI Day * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * AWS App runner * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 24, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to build Computer Vision MVPs quickly using AutoML. Topics include: * Getting models into production * Apple Create ML * Google Vertex AI * Image Classification * CoreML * Tensorflow * Rapid Prototyping * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 28, 2021) , Mode of access: World Wide Web.
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  • 91
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to master key components of Python functions. Topics include: * Input, Output and Unit of Work * Decorators, Yield Statements, Generators, Closures and Nested Functions * Using Github Codespaces and Github Actions * Building Command-line tools * Microservices including Flask and FastAPI * Using AWS Cloud9 along side AWS App Runner
    Note: Online resource; Title from title screen (viewed September 3, 2021) , Mode of access: World Wide Web.
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  • 92
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A walkthrough of Chapter 5 of the O'Reilly book Practical MLOps. Topics include: * Getting models into production * Feature Store vs Data Warehouse * AutoML * MLOps * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * Spark * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 14, 2021) , Mode of access: World Wide Web.
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  • 93
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Compare CI/CD with Github Actions vs AWS Code Build * Click * CI/CD * Github Actions * AWS Code Build * Build Badges
    Note: Online resource; Title from title screen (viewed October 23, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 12 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Develop with Kubernetes without having a running cluster locally using an SSH tunnel to connect to the remote K8s instance and then use regular kubectl commands to interact with the cluster. Then, supercharge your k8s flows with k9s, a powerful interface in the terminal for k8s In this video I'll walk you through some useful techniques you can use to setup a remote k8s cluster that runs locally, and will then use k9s, a powerful terminal UI that allows you to control a kubernetes cluster easily with less commands. Topics include: Connect to a remote K8s cluster over SSH using a tunnel Use different SSH flags when creating an SSH tunnel Learn k9s, a powerful terminal UI to control Kubernetes Useful links: * Github Gist with instructions * k9s CLI Tool
    Note: Online resource; Title from title screen (viewed December 3, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to walk it out when you are stuck on a hard technical problem.
    Note: Online resource; Title from title screen (viewed November 28, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Talks I want to attend virtually at re:Invent 2021 include: Machine Learning Opportunities for Underrepresented Groups ABW001 MLOps at Amazon: How to productionize ML workloads at scale AMZ302 Serverless ML: Machine learning without managing machines SVS313 Large-scale distributed training of media ML models with Amazon FSx NFX204 New technology for athletic training and live insights (sponsored by Intel) AIM211-S 3DAT
    Note: Online resource; Title from title screen (viewed November 27, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: A walkthrough of a course you can take by using O'Reilly resources created by Pragmatic AI Lab.
    Note: Online resource; Title from title screen (viewed December 5, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to get started with Github Codespaces and C# and F# right in your browser.
    Note: Online resource; Title from title screen (viewed December 26, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to get started on the right setup on your first day as a data scientist or business analytics professional. Topics include: * Business Analytics * Data Science * Google Colab * Jupyter * Github Actions and Github Codespaces * Continuous Integration and Delivery * EDA * GCP * AWS * Azure
    Note: Online resource; Title from title screen (viewed August 28, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Use Google Cloud Functions to quickly build solutions for Data Engineering.
    Note: Online resource; Title from title screen (viewed September 15, 2021) , Mode of access: World Wide Web.
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