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  • 101
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Jenkins, Jenkins Pipelines, and Github integration in this introductory video to the most widely used CI/CD platform in the world: Jenkins. Learn how to setup an example repository from Github into Jenkins using the same techniques you would need to scale a massive CI CD production environment. Topics include: * Install and configure Jenkins including plugins like Blue Ocean that enables pipelines * Create a Personal Access Token (PAT) in Github to connect a repository to Jenkins * Setup a trigger to run automated tests for the Github repository using a Jenkinsfile * Add a remote node or slave to the Jenkins master instance via SSH to quickly scale up operations * Validate that the project builds and deploys correctly
    Note: Online resource; Title from title screen (viewed February 18, 2021) , Mode of access: World Wide Web.
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  • 102
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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., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this video you walk through the foundational concepts of Machine Learning.
    Note: Online resource; Title from title screen (viewed February 27, 2021) , Mode of access: World Wide Web.
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  • 103
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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., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use no-code and low-code solutions to perform Natural Processing. In this video you walk through building a text based analysis using Python and Cloud Tools. You learn how to perform document similarity, visualize word clouds and use Amazon AI Tools. The techniques covered include: * Google Colab * Spacy * AWS Quicksite * AWS Comprehend * AWS Rekognition * NLTK * WordCloud * Pandas * Plotly * Github Finally, the course analyzes Hemingway books using popular off the shelf Python libraries. Follow along with the Github Resource: https://github.com/noahgift/exploratory-data-analysis
    Note: Online resource; Title from title screen (viewed February 20, 2021) , Mode of access: World Wide Web.
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  • 104
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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., 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Zero to One: Data Science to MLOps in One Hour. Learn to frame a problem, then convert it into a data science project and present it to stakeholders. Later, move that prediction system to producting using MLOps Topics include: * Big Tech Misinformation and what can be done about it using Data Science. * Doing MLOps with sklearn and Flask by creating Microservices * Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries * Putting code into production using the Python MLOps Cookbook found here: https://github.com/noahgift/data-story-telling
    Note: Online resource; Title from title screen (viewed March 20, 2021) , Mode of access: World Wide Web.
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  • 105
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Python exceptions are exceptional at helping your program take decisions. It is natural to feel the urge to catch them all and ignore them. But powerful programs can be created by learning how to leverage them in order to make robust scripts and take your coding skills to the next level. In this video, I cover several techniques that will help you improve your exception handling. Topics include: * Create a script that uses exception poorly, and then improve it * Slowly clean up broad catching exceptions to improve the script * Learn how to produce better errors from exceptions * Leverage other tools like logging to produce meaningful errors and tracebacks while keeping messages clean Follow along the repository to continue using more examples: https://github.com/alfredodeza/exceptions/
    Note: Online resource; Title from title screen (viewed April 22, 2021) , Mode of access: World Wide Web.
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  • 106
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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 ; local
    Abstract: Learn to do GPU programming in Python in Five Minutes
    Note: Online resource; Title from title screen (viewed January 12, 2021) , Mode of access: World Wide Web.
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  • 107
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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 ; local
    Abstract: Get started with Github and Github Actions in this introductory video to GitOps concepts, by building a container, setting some Github Actions to prevent problems, and finally, push to DockerHub in a fully automated way. These concepts are critical to get automation best-practices in place with Github. Particularly useful when collaborating with others and trying to run automated checks on Dockerfiles and git repos. Topics include: * Create a new Github repository * Enable Github Actions checks and steps for a new repository. * Find a Github Action to lint and check a Dockerfile to prevent issues before merging on pull requests. * Add Github Secrets and reuse them in a Github Action * Validate that a container builds correctly, and automatically push to dockerhub
    Note: Online resource; Title from title screen (viewed February 12, 2021) , Mode of access: World Wide Web.
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  • 108
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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 ; local
    Abstract: Get started with Machine Learning and Auto ML using Azure ML Studio easily building powerful models and deploy them in a scalable environment. Everything you need to know to get up and running quickly in Machine Learning using Azure, from datasets to containerized deployments and data validation. Topics include: * An introduction to Azure ML Studio and AutoML * Import datasets and version them within Azure - even from remote locations like Github * Create compute clusters for training and live inferencing * Select models for deployment into Kubernetes or Docker Container instances * Practice MLOps, operationalizing a deployed model with logs and metrics via Application Insights * Consume a live endpoint with a deployed model over an HTTP API * Use the generated Swagger files to grasp the HTTP endpoints
    Note: Online resource; Title from title screen (viewed February 4, 2021) , Mode of access: World Wide Web.
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  • 109
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Distribute the load of Jenkins builds with a remote Docker instance or Kubernetes server in this 1-hour long tutorial Topics include: * Configure a remote Docker instance to interact with the master Jenkins server * Modify an existing job to use Docker to do builds using labels * Setup a remote kubernetes instance to connect to Jenkins with JNLP * Use the right container image to connect back to Jenkins as a remote container node
    Note: Online resource; Title from title screen (viewed March 12, 2021) , Mode of access: World Wide Web.
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  • 110
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn some counter-intuitive ways to think about programming as a beginner. It is ok to feel stupid, it means you are on the right path! Topics include: * Failure is good * The goal of programming is to reduce complexity * Automation is a requirement * Continuously Improve your code * Embrace Automation and Monitoring
    Note: Online resource; Title from title screen (viewed April 17, 2021) , Mode of access: World Wide Web.
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  • 111
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to debug Python code quickly! Topics include: * Continuous Integration * Python Debugger: PDB * Debugging with print statements * Debugging with IPython * Using pylint and pytest to debug code
    Note: Online resource; Title from title screen (viewed April 14, 2021) , Mode of access: World Wide Web.
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  • 112
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sometimes scraping is the only way to extract meaningful data when there are no options like an accessible API. Parsing raw HTML can be intimidating and full of failures if you aren't used to existing tooling that can help you parse faster and more efficiently. In this video, learn all the basics including some advanced techniques to parse HTML and extract data with the Scrapy library in Python. k Topics include: * Install, configure, and create a new project with Scrapy, a powerful scraping library written in Python * See what is required to start parsing a website, including looking at raw HTML, tags, and CSS. * Identify data to create a dataset or datasets to perform data science analysis later * Capture parsed data and save it in different formats locally * Ultra fast scraping techniques by using the filesystem directly A few resources that are helpful if you are trying to do scraping, some of them covered in the course: * Scrapy Library * Scrapy Getting started tutorial
    Note: Online resource; Title from title screen (viewed May 13, 2021) , Mode of access: World Wide Web.
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  • 113
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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., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use the AWS (Amazon Web Services) platfrom to perform Computer Vision with the Python Language. This video course takes you from zero and introduces you to using the AWS Rekognition Console, AWS Cloud Shell and AWS Cloud9 environment to build computer vision solutions. Topics include: * Using AWS Rekognition to do Celebrity Recognition, Text Detection, PPE Detection and Image Labeling * Setting up AWS Cloud Shell to use the AWS SDK * Doing S3 copies with the AWS command-line SDK * Setting up AWS Cloud9 for development * Configuring bashrc file for use with Python * Using IPython with the AWS Boto3 SDK * Using Python Click to create command-line tools with colorized output * Using Github Actions to test and lint a computer vision project
    Note: Online resource; Title from title screen (viewed May 9, 2021) , Mode of access: World Wide Web.
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  • 114
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use MLOPs methodology to build applied computer vision solutions. Topics include: * Apple CreateML * AutoML * Image Classification * Kaizen * Computer Vision
    Note: Online resource; Title from title screen (viewed April 30, 2021) , Mode of access: World Wide Web.
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  • 115
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the important aspects of MLOps, also known as Machine Learning Operations or Operationalizing Machine learning, is to package ML models. How exactly do you package ML models? In this video I show you exactly what that means, and go through the process of packaging an ONNX model taken from the ONNX Model Zoo. I end up with a docker container that can be shared, exposing an API that is ready to consume and perform live predictions for sentiment analysis. Topics include: * What are the concepts behind packaging Machine Learning Models * Create a sentiment analysis API tool with Flask * Define dependencies and a Dockerfile for packaging * Create a container with an ONNX model that can be deployed anywhere with an HTTP API A few resources that are helpful if you are trying to get started with SBOMs, generating them and using them to capture vulnerabilities: * The RoBERTa ONNX Model * Schema labeling concetps for Docker containers * The Practical MLOps code respository full of examples
    Note: Online resource; Title from title screen (viewed May 27, 2021) , Mode of access: World Wide Web.
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  • 116
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to pass ANY AWS Certification Exam on the first try. Topics include: * AWS Certifications * AWS Certified Cloud Practitioner * AWS Exam Guide * AWS White Papers * AWS Sample Questions * AWS Cloud Shell * AWS Unofficial Questions * AWS Academy
    Note: Online resource; Title from title screen (viewed June 6, 2021) , Mode of access: World Wide Web.
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  • 117
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to AWS Sagemaker Autopilot from zero and deploy a model to production.
    Note: Online resource; Title from title screen (viewed June 29, 2021) , Mode of access: World Wide Web.
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  • 118
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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 ; local
    Abstract: What is an SBOM (Software Bill Of Materials) and why should you care? An SBOM is a critical cybersecurity component to keep track and catalog what is installed (and at what versions) in production environments. With recent cybersecurity threats, SBOMs play an important role to implement a remediation strategy when threats and vulnerabilities are reported. Without an SBOM, it is borderline impossible to detect what exactly is released into production, and what may be vulnerable today. Topics include: * Understand the concepts behind an SBOM * Create an SBOM and use different output formats like CycloneDX to import into other systems * Use an SBOM to detect CVE and other vulnerabilities associated with installed software * Capture information about pre-installed system dependencies and nested dependencies * Use CycloneDX and other machine-readable formats like JSON to import outputs into other systems A few resources that are helpful if you are trying to get started with SBOMs, generating them and using them to capture vulnerabilities: * A simple, user-friendly SBOM generator: Syft * A fast vulnerability matcher that uses SBOMs as input: Grype * The CycloneDX format
    Note: Online resource; Title from title screen (viewed May 18, 2021) , Mode of access: World Wide Web.
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  • 119
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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 ; local
    Abstract: Learn to use AWS App Runner to do an MLOps workflow that deploys a Flask Microservice that running sklearn. This tutorial walks you through how to deploy code from the O'Reilly book Practical MLOps using the AWS App Runner Service. Topics include: * MLOps * AWS App Runner * Container as a Service * Python * Flask * Microservice * Sklearn * Machine Learning Engineering
    Note: Online resource; Title from title screen (viewed May 23, 2021) , Mode of access: World Wide Web.
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  • 120
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn the essentials of Bash for Cloud Computing Topics include: * AWS Cloud Shell and Github Code Spaces Shell programming * Editing Bashrc * Using Vim * Using shell navigation including: cd, ls, pwd, history * editing the Bash prompt and creating simple Bash Scripts, as well as Python Virtual Environments with Bash
    Note: Online resource; Title from title screen (viewed May 6, 2021) , Mode of access: World Wide Web.
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  • 121
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use Google AutoML Vision to train models with out writing code. Topics include: * Google AutoML Vision with Corel.AI * Core ML * Tensorflow Lite * Edge Inference * MLOps for Edge Computer Vision
    Note: Online resource; Title from title screen (viewed April 27, 2021) , Mode of access: World Wide Web.
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  • 122
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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., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use Google AutoML to build a computer vision prediction model via their Qwiklabs website. Later, compare Apple's CreateML with the same data set and build an AutoML prediction model that deploy to the edge. Topics include: * Google AutoML * Apple CreateML * Apple CoreML * Computer Vision * Cloud Computing * Single label image classification * Using AutoML as a prototyping Tool * Edge Computer Vision Models
    Note: Online resource; Title from title screen (viewed May 15, 2021) , Mode of access: World Wide Web.
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  • 123
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The Go programming language is becoming more popular these days with cloud-native applications and the Kubernetes ecosystem. If you are coming from Python, you will find yourself surprised to see similar patterns, while at the same time see some things that are missing or plain impossible with Go. In this course, I will introduce you to some of the basics of Golang from a Python perspective, so that you can reduce the friction trying to learn it. Topics include: * Packages, imports and variable definitions * From lists to arrays and slices * From Python dictionaries to Go maps * Looping on data structures, retrieving and adding values or items * Error handling, and the surprising fact that there aren't any tracebacks or exceptions in Go A few resources that are helpful if you are trying to learn Go, some of them covered in the course: * Visual Studio Code for Go * The Go playground * An (interactive) tour of Go
    Note: Online resource; Title from title screen (viewed May 5, 2021) , Mode of access: World Wide Web.
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  • 124
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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 ; local
    Abstract: Learn to think like a Venture Capitalist about your career and design for failure. Topics include: * Cost of Living * Open Source Software * Investments * Designing your 1-3 year experiences * Being proactive vs reactive
    Note: Online resource; Title from title screen (viewed April 28, 2021) , Mode of access: World Wide Web.
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  • 125
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Episode 4: AWS CP Part 2 Benchmarking: https://github.com/noahgift/benchmarking-aws History of AWS (AWS Shareholder Letter 2020): https://www.aboutamazon.com/news/company-news/2020-letter-to-shareholders Visual Studio AWS Tool Github Codespaces vscode tutorial: https://github.com/noahgift/DotNet-AWS/blob/main/chapters/appendix/AppendixB-CSharp-Tutorial.md AWS CP Part 2
    Note: Online resource; Title from title screen (viewed December 29, 2021) , Mode of access: World Wide Web.
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  • 126
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to pass the AWS Cloud Practicioner exam. Part 1.
    Note: Online resource; Title from title screen (viewed December 21, 2021) , Mode of access: World Wide Web.
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  • 127
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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: A kickoff of a weekly live stream. This covers the upcoming O'Reilly book on C# on AWS. This episode covers the outline for the book. You can catch this live stream every week on Tuesday ET at 3pm.
    Note: Online resource; Title from title screen (viewed December 7, 2021) , Mode of access: World Wide Web.
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  • 128
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: In this episode on December 14th, 2021 I talk about Re:invent 2021 major announcements and ideas on how to get started on AWS quickly using AWS Cloudshell and AWS Cloud9.
    Note: Online resource; Title from title screen (viewed December 14, 2021) , Mode of access: World Wide Web.
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  • 129
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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., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with MLOPS. Topics include Flask Machine Learning on AWS, what MLOPS is, Azure DevOps Pipelines for MLOps and dealing with edge cases in exporting models.
    Note: Online resource; Title from title screen (viewed December 9, 2020) , Mode of access: World Wide Web.
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  • 130
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (451 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout all these transformations, Python has become one of the most popular languages in the world. This practical guide shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is an essential skill for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. If you’re looking for effective ways to "get stuff done" in Python, this is your guide. Automate several tasks using Python Work more efficiently by using a smaller subset of the language Use continuous integration systems to increase software quality Mix shell and Python commands to solve problems
    Note: Online resource; Title from title page (viewed January 3, 2020)
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  • 131
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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., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This is a one hour introduction to Python with code samples you can execute at home at the same time. Code can be executed here: https://github.com/noahgift/functional_intro_to_python/blob/master/Public_Master_SafariOnline_Day1_Part1.ipynb Subscribe to YouTube channel: https://lnkd.in/gUpprB2 You can find more content by Noah Gift at https://noahgift.com. #pragmaticai #python #tutorial
    Note: Online resource; Title from title screen (viewed December 6, 2020) , Mode of access: World Wide Web.
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  • 132
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Cloud Computing in Python. Topics include: Multi-Cloud, Cloud Computing Service Models, Distributed Computing in the Cloud, Cloud Computing ETL Pipelines, Serverless Soutions with the Cloud, Containers in the Cloud, and Continuous Delivery for ML Engineers
    Note: Online resource; Title from title screen (viewed December 10, 2020) , Mode of access: World Wide Web.
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  • 133
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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., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Many people wrongly believe that to program properly in Python, it is necessary to master all of its many moving parts. But the single most important part of modern Python programming - the part you should learn first - is the function. What can you do with a function? Build command-line tools, web applications, GPU programming, serverless, distributed computing, and machine learning. In the cloud and machine learning era, the function rules. In this course, you'll begin your Python journey through learning about this critically important subset of the Python language. You'll master the use of functions much more quickly by not getting bogged down with all the rest.
    Note: Online resource; Title from title screen (viewed November 3, 2020) , Mode of access: World Wide Web.
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  • 134
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to build solutions using Python for DevOps. Topics include serverless, microservices, GCP, AWS, Azure, Continuous Integration and Continuous Delivery.
    Note: Online resource; Title from title screen (viewed December 9, 2020) , Mode of access: World Wide Web.
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  • 135
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn advanced testing techniques in Python, PyTest, AWS and more. Topics include: * Debugging Python * Using pdb * Using pylint * Using Github Actions for Matrix testing multiple versions of Python and Operating Systems * Using AWS specific features for testing including AWS Cloud9 AWS Code Guru and AWS Code Build * Testing Python Click Command Line Tools with PyTest
    Note: Online resource; Title from title screen (viewed December 12, 2020) , Mode of access: World Wide Web.
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  • 136
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to apply the cloud, no-code/low code and data science to build cloud based business analytics solutions. This is the missing semester of an MBA that gives you just what you need to build technical solutions in the analytics space.
    Note: Online resource; Title from title screen (viewed December 6, 2020) , Mode of access: World Wide Web.
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  • 137
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Applied Computer Vision in Python. Topics include: 1. Introduction to applied computer vision 2. Emerging Topics in applied computer vision 3. Using AI APIs 4. Using AutoML for Computer vision 5. Using Edge Computer Vision Hardware 6. Using AWS for Computer Vision with AWS DeepLens and AWS Lambda
    Note: Online resource; Title from title screen (viewed December 18, 2020) , Mode of access: World Wide Web.
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  • 138
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join #onemillion2021, where one million students learn Cloud, Data, and Python skills globally by 2021. This course takes a user on a journey to understand and then master the AWS Cloud. This material exists in many forms at top universities around the world. This material has adjusted to the unique properties of the O'Reilly platform. Many techniques will also prepare a student interested in Python, Data Science, Data Engineering, or Machine Learning to use the AWS cloud in those domains. Some of the hands-on demos include: How to build websites using: AWS S3, AWS Lambda, and AWS EC2 Instances How to use AWS Spot Instances and run machine learning workloads How to write simple Python functions and deploy them using AWS Lambda How to create AWS S3 buckets and synchronize data to them How to use AWS Cloud9 to develop software and interact with the AWS Cloud How to create a user account in AWS IAM How to manage billing and set up alerts to protect you from unexpected charges
    Note: Online resource; Title from title screen (viewed December 6, 2020) , Mode of access: World Wide Web.
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  • 139
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: There are already good introductory lessons for testing Python with Pytest. But there are important concepts for functional and integration testing that require detailed explanations. In this course, you’ll have a better grasp on solving a complex test matrix with ease, including highly functional tests with databases, web services, and containers. We will go from basic test runs that although sufficient, aren’t really helping us in the case of failure, all the way to adding advanced techniques expanding on the framework. All of these changes live, debugging as we make progress.
    Note: Online resource; Title from title screen (viewed December 5, 2020) , Mode of access: World Wide Web.
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  • 140
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Noah and Alfredo have decades of experience testing with Python in major production environments. They are the authors of the book Testing in Python and Python for DevOps (O'Reilly). Learn from the best on how to get started and advance your automation with easy examples and code to follow up.
    Note: Online resource; Title from title screen (viewed June 16, 2020) , Mode of access: World Wide Web.
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  • 141
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (117 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This book will teach you to master the ultimate UI, the command-line, using the powerful Click Framework in Python.
    Note: Online resource; Title from title page (viewed May 27, 2020) , Mode of access: World Wide Web.
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  • 142
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (168 pages)
    Edition: 1st edition
    DDC: 005.26/2
    Keywords: Electronic books ; local
    Abstract: If you are reading this book you may be interested in programming for the first time. Maybe it isn't your first time trying to learn to program either? This book is very different than other books that claim to teach you programming. It eliminates a large part of Python that you simply don't need. Even books that have "learn" in the title introduce readers to hopelessly complex topics like object-oriented programming or concurrency. It turns out YAGNI (You Ain't Gonna Need It). Why teach students topics they won't use either ever, or not for a few years? Don't worry if you failed before, you may have read a book written by an expert for an expert. Let's fix that and teach you just what you need to get started in a career in Data Science, Data Engineering, Software Engineering, or Cloud Computing.
    Note: Online resource; Title from title page (viewed April 20, 2020) , Mode of access: World Wide Web.
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