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  • Online Resource  (185)
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  • Gift, Noah  (152)
  • Newman, Sam  (33)
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  • 1
    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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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Service-level objectives (SLOs) are a key component of the service-level agreement (SLA) between your business and your customers. SLOs define the level of service you’ve agreed to provide and offer a means to measure that service. As such, they’re critical for ensuring reliability...if used correctly. Join us for a special conversation on SLOs with Sam Newman and site reliability engineer Alex Hidalgo. You’ll learn how to build an SLO-based approach to reliability at your own organization as you explore everything from the concepts, philosophies, and definitions you need to know to the various components of SLOs, how to use them successfully, why they work, and how you can make them work for you. Along the way, Sam and Alex will also discuss some of the more complicated aspects of implementing an SLO-based approach, including how to create meaningful service-level indicators (SLIs) and how to assign accurate SLO targets so that you get useful alerts for your team—and company-wide buy-in. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around SLOs and SRE What’s coming next for infrastructure and ops This recording of a live event is for you because… You want to learn how to use SLOs at your company to improve resilience. You’re looking for ways to improve your incident response and engineering environment. Recommended follow-up: Read Implementing Service Level Objectives (book)
    Note: Online resource; Title from title screen (viewed February 7, 2022) , Mode of access: World Wide Web.
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  • 3
    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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  • 4
    Online Resource
    Online Resource
    [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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  • 5
    Online Resource
    Online Resource
    [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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  • 6
    Online Resource
    Online Resource
    [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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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Incidents are inevitable in complex systems, but learning from these events shouldn’t require assigning blame. Workers on the front lines have much to contribute to a company’s understanding of how failures happen—and to how to prevent them from happening in the future. Join us for a special conversation about resilience engineering with Sam Newman and incident analysis pro Jessica DeVita. They’ll discuss what resilience engineering is and why it matters for infrastructure and operations in particular, walk you through how to learn from incidents while maintaining your teams’ cohesion, and explain how to use that knowledge to drive design decisions with intentionality. They’ll spend a few minutes covering the trends that are influencing infrastructure, then tell you what you need to know to stay ahead of the curve. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around incident analysis See what’s coming next for infrastructure and ops This live event is for you because… You’re looking for ways to improve your incident response and engineering environment. You want to learn about the foundations of resilience engineering, a discipline that combines safety science with human factors, and understand why resilience depends more on people than on technology. Recommended follow-up: Read 97 Things Every SRE Should Know (book) Read Incident Metrics in SRE (report) Watch Infrastructure & Ops Superstream Series: SRE Edition (recorded Superstream event)
    Note: Online resource; Title from title screen (viewed January 5, 2022) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [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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  • 9
    Online Resource
    Online Resource
    [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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  • 10
    Online Resource
    Online Resource
    [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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  • 11
    Online Resource
    Online Resource
    [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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  • 12
    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 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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  • 13
    Online Resource
    Online Resource
    [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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  • 14
    Online Resource
    Online Resource
    [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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  • 15
    Online Resource
    Online Resource
    [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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  • 16
    Online Resource
    Online Resource
    [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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  • 17
    Online Resource
    Online Resource
    [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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  • 18
    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: 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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  • 19
    Online Resource
    Online Resource
    [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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  • 20
    Online Resource
    Online Resource
    [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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  • 21
    Online Resource
    Online Resource
    [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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  • 22
    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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  • 23
    Online Resource
    Online Resource
    [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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  • 24
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Observability—a measure of how well internal states of a system can be inferred from its outputs—is crucial for engineering, managing, and improving complex business-critical systems. Join us to learn how observability can help any software engineering team gain a deeper understanding of system performance, so you can perform ongoing maintenance and ship the features your customers need. About the Infrastructure & Ops Superstream Series: This four-part Superstream series guides you through what you need to know about modernizing your organization’s infrastructure and operations, with each event day covering different topics and lasting no more than four hours. They’re packed with the expert insights, skills, and tools that will help you effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. What you’ll learn and how you can apply it Gain a deeper understanding of system performance so you can perform ongoing maintenance and ship the features your customers need Understand how to build an observability-driven development practice Discover how your production services are really performing right now This recording of a live event is for you because… You’re a developer who wants to learn the basics of observability and how to use it in your system. You want to better understand how observability can be used with data. You want to know what the future holds for observability and infrastructure and operations. Recommended follow-up: Read Observability Engineering (book) Read Kubernetes Security and Observability (book) Watch Observability at Google (video) Read Linux Observability with BPF (book) (Watch Case Study: How Lightstep Implemented Observability (recorded event))
    Note: Online resource; Title from title screen (viewed January 12, 2022) , Mode of access: World Wide Web.
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  • 25
    Online Resource
    Online Resource
    [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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  • 26
    Online Resource
    Online Resource
    [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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  • 27
    Online Resource
    Online Resource
    [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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  • 28
    Online Resource
    Online Resource
    [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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  • 29
    Online Resource
    Online Resource
    [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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  • 30
    Online Resource
    Online Resource
    [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: 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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  • 31
    Online Resource
    Online Resource
    [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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  • 32
    Online Resource
    Online Resource
    [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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  • 33
    Online Resource
    Online Resource
    [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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  • 34
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures. Author Sam Newman provides you with a firm grounding in the concepts while diving into the latest solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Through real-world examples, you'll learn how organizations worldwide are getting the most out of these architectures. Microservices technologies are moving quickly. This book brings you up to speed. Get new information on user interfaces, container orchestration, and serverless Use microservices to align system design with your organization's goals Explore options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with expanded content around user-to-service and service-to-service models Understand the challenges of scaling microservices architectures
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 35
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (54 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models. Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start. You'll discover how to: Apply DevOps best practices to machine learning Build production machine learning systems and maintain them Monitor, instrument, load-test, and operationalize machine learning systems Choose the correct MLOps tools for a given machine learning task Run machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: AWS Solutions Architect Certification In ONE HOUR!
    Note: Online resource; Title from title screen (viewed January 14, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use optimization strategies and greedy algorithms in one hour.
    Note: Online resource; Title from title screen (viewed March 7, 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 ; 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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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Google Cloud Platform (GCP) and Cloud Functions in this one-hour video. Everything you need to know to get up and running quickly using serverless technology from GCP. Topics include: * An introduction to serverless technologies * Create a cloud function, install dependencies, and use different runtimes like Python 3.8 * Debug issues when a cloud function deployment fails * Use Google's Machine Learning offering to do live translations to any language * Enable authentication for your cloud function
    Note: Online resource; Title from title screen (viewed January 14, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to use AWS in one Hour
    Note: Online resource; Title from title screen (viewed January 9, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn all about distributed tracing in this 1 hour course. If you want to go beyond logging and monitoring, and trying to tell a story by connecting the dots, then distributed tracing is the way to go. Topics include: * Opentracing and the foundations of distributed tracing libraries like Jaeger * Micro-service strategies and other microservice implementations that make distributed-tracing a perfect use case * Implement distributed tracing instrumentation in a Github project using docker compose with multiple Docker containers * Leverage the knowledge to use hosted services like Datadog for querying and debugging traces
    Note: Online resource; Title from title screen (viewed April 15, 2021) , Mode of access: World Wide Web.
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    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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    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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    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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    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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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on sustainability with Sam Newman and longtime technologist Anne Currie. They’ll discuss cloud providers and the environmental impact of software, how an individual developer’s choices can impact sustainability, and the trends that are impacting organizations’ deployment practices and culture. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around sustainability See what’s coming next for infrastructure and ops This course is for you because… You have questions about limiting the environmental impact of your technology choices. You’re looking for ways to improve your cloud environment to support your production goals. You want to become well-versed in the foundations and best practices of pipeline creation and deployment. Recommended follow-up: Read Design Patterns for Cloud Native Applications (book) Read Cloud Native Transformation (book) Read 97 Things Every Cloud Engineer Should Know (book)
    Note: Online resource; Title from title screen (viewed July 7, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on site reliability engineering with Sam Newman and Gremlin principal SRE Tammy Butow. They’ll chat about SRE best practices and challenges, building resilient systems, chaos engineering, facilitating controlled experiments to identify systemic weaknesses, and more. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around SRE What’s coming next for infrastructure and ops This course is for you because… You want the chance to ask Sam Newman and Tammy Butow your questions around SRE and chaos engineering. You’re looking for ways to improve your systems and mitigate weaknesses. You want to become well-versed in the foundations and best practices of pipeline creation. Recommended follow-up: Read Chaos Engineering (book) Read Security Chaos Engineering (report) Read Site Reliability Engineering (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 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 2 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn about six key elements of MLOPs based on the best-selling book Practical MLOps Topics include: * Source Code Management * Continuous Integration and Continuous Delivery * Development Environment * Deploy Environment * Microservices including Flask and FastAPI * Business Logic
    Note: Online resource; Title from title screen (viewed September 2, 2021) , Mode of access: World Wide Web.
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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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    Pages: 1 online resource (1 video file, approximately 3 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Sponsored by NGINX Architecture styles are important...and abundant. To make the right choice for a particular business problem, an architect must be familiar with all the various styles and the trade-offs encapsulated within each. No wonder that understanding them occupies much of the time and effort of new architects. Jumpstart your learning and join us for four hours of sessions on some of the most popular and useful architectural styles and how to implement them at your organization. About the Software Architecture Superstream Series: This six-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you’ll learn and how you can apply it Explore techniques to analyze and select the right architecture style for your business and engineering teams Learn how to diagram and document an architectural solution Better understand a variety of architecture styles so that you can champion architecture decisions to developers and stakeholders This recording of a live event is for you because… You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to better understand when to use different architectural styles. Recommended follow-up: Read The Software Architect Elevator (book) Read Dynamic Reteaming , second edition (book) Read Microservices Patterns (book) Take Mastering Technical Presentations by Example (live online training course with Neal Ford) Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book) Take Software Architecture by Example (live online training course with Mark Richards and Neal Ford) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Take Microservice Fundamentals (live online training course with Sam Newman)
    Note: Online resource; Title from title screen (viewed September 15, 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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    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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    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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    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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    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build an AWS Lambda function in Python from scratch that uses Boto3 to communicate with Amazon S3. Later invoke that function inside the AWS Cloud9 Development environment. 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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    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 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use AWS CloudShell to write PowerShell and C#. Included is code walkthroughs of Powershell, C# and Bash with the AWS SDK and CLI.
    Note: Online resource; Title from title screen (viewed December 15, 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: How to develop for C# on Windows running inside of OS X and using AWS.
    Note: Online resource; Title from title screen (viewed December 17, 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
    Abstract: Use this reference guide to implement a strategy that will let you pass the AZ-900 Certification exam (Azure Fundamentals Certification). Although this video does not cover in detail everything you need to know to pass the test, it will guide you through some of the things that you will need to know in order to pass the test and get certified. In this video I'll walk you through the contents you must go through to learn and understand everything you need to pass the Azure Fundamentals exam. Then, we will go through some techniques you can use to review the enormous amount of content needed to study, and finally, I'll cover the summarization techniques with attention to aspects covered in the exam. Topics include: Find all content related to the AZ-900 test Use a powerful summarizing technique to review and study Capture important key differences in services Useful links: * Github Repository with summary instructions * Azure Fundamentals certification guide
    Note: Online resource; Title from title screen (viewed December 23, 2021) , Mode of access: World Wide Web.
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    Pages: 1 online resource (1 video file, approximately 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: I benchmark exotic and ridiculously powerful machines on AWS
    Note: Online resource; Title from title screen (viewed December 27, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with security vulnerability scanning and integrating that with Github, Github Actions and automated security checks in pull requests. Learn how to scan reported vulnerabilities in projects and Docker containers, so that you can publish images to Docker hub or merge pull requests while knowing that changes in dependencies are secure. Topics include: * Install and run locally a security vulnerability scanner * Catalog a project with an SBOM (Software Bill Of Materials) so that the scanner can do vulnerability matching. * Setup a Github Action to automatically scan vulnerabilities in a project and optionally fail a build to prevent a merge. * Scan a Docker container image that is built locally against the latest vulnerabilities, based on any CVE reported publicly
    Note: Online resource; Title from title screen (viewed February 25, 2021) , Mode of access: World Wide Web.
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    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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    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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    Language: English
    Pages: 1 online resource (1 video file, approximately 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to do Data Science with Python, Pandas and Colab Notebook in one hour! This video lesson takes you through a Covid-19 Dataset from the NyTimes and shows you how to explore it. The libraries involved include: Pandas, Colab, Plotly, sklearn, numpy and matplotlib. A suggested structure for Data Science projects is included: Ingest, EDA, Modeling and Conclusion. Finally, the course wraps up with how to integrate Cloud based business analytics including the following tools. AWS Cloud9, IPython, AWS Rekognition, AWS Translate and AWS Comprehend. These solutions are explored with both boto3 and the AWS Console. Follow along with the Github Resource: https://github.com/paiml/minimal-python/blob/master/Chapter7_data_science.ipynb
    Note: Online resource; Title from title screen (viewed February 6, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join us for a special conversation on Kubernetes with Sam Newman and Katie Gamanji, the ecosystem advocate for the CNCF. They’ll discuss how to manage some of the complexity in your Kubernetes cluster and share fascinating aspects of the discipline, interesting convergence areas, and insights intended to help you learn how to approach the most challenging aspects of building and managing evolving software needs. This is your chance to ask Sam and Katie anything you want about Kubernetes and their own career journeys. They’ll spend a few minutes covering the trends that are influencing infrastructure and operations, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Understand why Kubernetes is needed Discover how to manage the complexity in your Kubernetes cluster See what’s coming next for infrastructure and ops This training course is for you because... You want the chance to ask Sam Newman and Katie Gamanji your questions around working using Kubernetes tools. You’re looking for ways to use Kubernetes to support your production goals. You want to become well-versed in the foundations and best practices of pipeline creation and deployment. Prerequisites Come with your questions for Sam Newman and Katie Gamanji Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up Read Kubernetes: Up and Running , second edition (book) Read Programming Kubernetes (book) Read Kubernetes Best Practices (book) Take Kubernetes in 3 Weeks: Parts I and II (live online training course with Jonathan Johnson) Take Building and Managing Kubernetes Applications (live online training course with Sébastien Goasguen)
    Note: Online resource; Title from title screen (viewed April 14, 2021) , 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., 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to tell stories with Data and then present those conclusions to Business Executives. Learn to use Colab/Jupyter Notebooks to build Data Science notebooks that tell a story. Topics include: * Effects of Intermittent Fasting, Sugar, Wealth and Real Estate Values on society * Visualizing data through Plotly graphs with 3D Interactive Visualizations of KMeans clustering * Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries * The role of the Matthew Effect on society. The Github Project is here: https://github.com/noahgift/data-story-telling
    Note: Online resource; Title from title screen (viewed March 13, 2021) , Mode of access: World Wide Web.
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  • 68
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    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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  • 69
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    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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  • 70
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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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  • 71
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use FastAPI to expose an HTTP API for fast live predictions using an ONNX Machine Learning Model. FastAPI is a Python web framework that provides easy development of documented HTTP APIs by offering self-documented endpoints with Swagger - a tool to describe, document, and use RESTful web services. Learn how to quickly put together an API which validates requests, and self-documents its endpoints using OpenAPI via Swagger. Quickly produce a robust interface for others to consume your Machine Learning model by following core best-practices of MLOps. Parts of this video cover the basics of packaging Machine Learning models, as covered in the Practical MLOps book. Topics include: * Create a Python project to serve live predictions using FastAPI * Use a Dockerfile to package the model and the API using Docker containerization * With minimal Python code, expose an ONNX model to perform sentiment analysis over an HTTP endpoint * Dynamically interact with the API using the self-documented endpoint in the container. Useful links: * Demo Github Repository with sample code * Practical MLOps book * FastAPI Intro tutorial * RoBERTa ONNX Model for sentiment analysis
    Note: Online resource; Title from title screen (viewed July 16, 2021) , Mode of access: World Wide Web.
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  • 72
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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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  • 73
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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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  • 74
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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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  • 75
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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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  • 76
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 12 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Sponsored by Aqua and Palo Alto Networks Security can’t be added in at the end. We need to build it into everything we do (“pull left”). So how can developers get involved in building safer, more secure software? And what new skills do you need to learn to do so? About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you’ll learn and how you can apply it Discover which tools work best for responding to threats Understand how to develop a cybersecurity strategy Learn how to recover from an attack on Kubernetes This recording of a live event is for you because… You need to protect your systems from attacks by ransomware and emerging threats. You want to better understand the emerging threats landscape and what you can do to minimize and respond to attacks. You work with distributed systems and want to learn how to secure containers and Kubernetes. Recommended follow-up: Read “ Security, Permissions, and Privacy ” (chapter 9 in Learning Serverless ) Read Kubernetes Security and Observability (early release book) Read Hacking Kubernetes (early release book) Read “ Security and Backups ” (chapter 11 in Cloud Native DevOps with Kubernetes ) Read Building Microservices , second edition (book) Read Learning DevSecOps (early release book) Take Kubernetes Fundamentals in 3 Weeks (live online training course with Jon Johnson)
    Note: Online resource; Title from title screen (viewed September 29, 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 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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  • 78
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 52 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: O’Reilly Radar: Data & AI will showcase what’s new, what’s important, and what’s coming in the field. It includes two keynotes and two concurrent three-hour tracks—designed to lay out for tech leaders the issues, tools, and best practices that are critical to an organization at any step of their data and AI journey. You’ll explore everything from prototyping and pipelines to deployment and DevOps to responsible and ethical AI.
    Note: Online resource; Title from title screen (viewed October 14, 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 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to setup CI/CD with Github Actions for a Python Click Project Topics include: * Click * CI/CD * Github Actions * Matrix Tests in Github Actions
    Note: Online resource; Title from title screen (viewed October 9, 2021) , Mode of access: World Wide Web.
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  • 80
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Join us for a special conversation on distributed systems with Sam Newman and cloud native architecture pro Nicky Wrightson. Working on a huge scale means a whole different set of problems to solve while still striving to keep systems operable, cost-effective, and maintainable. Nicky and Sam will walk you through some of the challenges of working with distributed systems before discussing why operability should be a first-class concern when developing large distributed systems, how to reduce the support overhead needed for complex distributed systems, and more. Then they’ll open the floor for questions. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around distributed systems See what’s coming next for infrastructure and ops This recording of a live event is for you because… You want the chance to ask Sam Newman and Nicky Wrightson your questions around distributed systems. You’re looking for ways to improve your production environments. Recommended follow-up: Read Scalability and Concurrency for Distributed Systems (book) Read Building Microservices , second edition (book) Read Designing Distributed Systems (book) Read Distributed Systems Observability (report)
    Note: Online resource; Title from title screen (viewed November 15, 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 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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  • 82
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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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  • 83
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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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  • 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 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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  • 86
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    Language: English
    Pages: 1 online resource (1 video file, approximately 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Doing MLOps live talk and demo
    Note: Online resource; Title from title screen (viewed December 16, 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 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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  • 88
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    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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  • 89
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Python Devops in TWO HOURS!
    Note: Online resource; Title from title screen (viewed January 27, 2021) , Mode of access: World Wide Web.
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  • 90
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 12 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The combination of modern distributed architectures and cloud environments offers powerful solutions for delivering applications that quickly yield business value. . .and increased complexity. Moving quickly and not breaking things means that you need deployment pipelines. How do you ensure your releases don’t bring down production? Enter CI (continuous integration) and CD (continuous delivery), which greatly improve visibility of the quality of your software while also greatly reducing the time taken between releases. Join us to learn how CI/CD can help you achieve new levels of velocity, agility, reliability, and efficiency in your projects and systems. About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you'll learn-and how you can apply it Understand what tools work best for CI/CD and cloud native Learn how CI/CD works in the deployment pipeline Discover how infrastructure as code can help you deliver services to your users This Superstream is for you because... You’re a developer looking to discover the advantages of CI/CD. You want to better understand infrastructure as code. You work in a cloud native environment and want to learn which CI/CD tools work best with this extra complexity. You want to better incorporate testing and automation in your CI/CD pipeline. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Infrastructure as Code , second edition (book) Read Building Microservices , second edition (book) Read What Is DevOps? (report)
    Note: Online resource; Title from title screen (viewed February 2, 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 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Docker and building powerful containers in this one-hour video. From the basics of containers, and its differences with virtual machines, to interactive commands and containerization of applications. Everything you need to know to get up and running quickly to use containers and grasp docker concepts. Topics include: * An introduction to containers and their differences with Virtual Machines * Start, stop, and manage containers. * Map container ports to local ports, mount volumes, and other startup flags for container images. * Get access to running containers to interactively debug a service like Nnginx. * Build a Python application with a Dockerfile, and deploy it running the latest Python version.
    Note: Online resource; Title from title screen (viewed January 28, 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 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: AWS Machine Learning Certification In ONE HOUR!
    Note: Online resource; Title from title screen (viewed January 23, 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 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use AWS Elastic Beanstalk to deploy a Flask application. This tutorial covers Continuous Delivery of a Python Flask application using AWS Code Build. Elastic Beanstalk is a PAAS (Platform as a Service) that has powerful tools and integrations. This video course covers building out an development environment in Cloud9, a Makefile system and then finally, a full fledged CI/CD pipeline using Pylint and AWS Code Build of a Flask API. Follow along with the Github Resource: https://github.com/nogibjj/Flask-Elastic-Beanstalk.
    Note: Online resource; Title from title screen (viewed February 3, 2021) , Mode of access: World Wide Web.
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  • 94
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started building powerful Command-line Tools with Python. From a single file with no dependencies to packaging and publishing your tool on the Python Package Index. Everything you need to know to get up and running quickly to create Python command-line tools. Topics include: * An introduction to Python scripts and Python packaging * Declare dependencies and package your script for installing and sharing. * Use argparse or upgrade to a more powerful framework like Click * Add flags, options and arguments to fine-tune and control your command-line tool
    Note: Online resource; Title from title screen (viewed January 22, 2021) , Mode of access: World Wide Web.
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    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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  • 96
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: While cloud isn’t a new technology, the move to the cloud has accelerated...and has become increasingly complex. Ops engineers need to build new skills and knowledge: What are the pain points of moving to the cloud, and how do security and safety change? And how do you give power to developers while still ensuring secure and reliable deployments? Join us for a Superstream on the cloud, with sessions covering everything from strategy to security and automation. About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you'll learn-and how you can apply it Understand how data works in the cloud See what tools work best for cloud native CI/CD Learn configuration management strategies to increase system robustness Discover strategies to help ensure a successful cloud native transformation Explore secret change management techniques and tools This Superstream is for you because... You’re a developer looking to better understand the skills needed to work on infrastructure in the cloud. You want to better understand cloud providers and security options. You work in a cloud native environment and want to understand how CI/CD tools work best with this extra complexity. You want to learn more about testing and automation in the cloud. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Practical Process Automation (book) Read Cultivating Cloud Outcomes (early release book) Read 97 Things Every Cloud Engineer Should Know (book) Read " Patterns for Development and Process " (chapter 9 in Cloud Native Transformation )
    Note: Online resource; Title from title screen (viewed April 7, 2021) , Mode of access: World Wide Web.
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    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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    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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    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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  • 100
    Online Resource
    Online Resource
    [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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