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  • Safari, an O'Reilly Media Company.  (1,499)
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  • [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions  (144)
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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 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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  • 2
    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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  • 3
    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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  • 4
    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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  • 5
    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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  • 6
    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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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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  • 11
    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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  • 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: 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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  • 13
    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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  • 14
    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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  • 15
    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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  • 16
    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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  • 17
    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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  • 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: 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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  • 19
    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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  • 20
    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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  • 21
    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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  • 22
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    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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  • 23
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    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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  • 24
    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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  • 25
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition.
    Keywords: Electronic videos
    Abstract: 52 Weeks of Swift_ Episode 8-Enumerations 00:00 Intro 03:30 Using .dot syntax with enum 08:29 Associated values for enumeration 13:45 Recursive enumerations Okay, so I'm live here with 52 weeks of Swift and getting into a numeration is today, still going through the Swift language guide. And I'm going to start off with sharing some, some code here on a numeration syntax. To start with, if we go and paste some of this in, here we go, you can see that the num, right here says that this is really the flavor of what it looks like. And if we wanted to build this out into exactly sort of workable code, you can see here that make this thing, have the ability to do case statements. And then what's great about this is that I can, you know, essentially select which one of these fits the case that I that I need. So let's go ahead and run this. Here we go, we see that this is actually working code. And so you can basically use this as something that can really be related values, or typesafe. Way to deal with things in Swift. And in particular, one of the things that I'm going to do is I'm going to go ahead and take a look at this planet. We'll go next year. And take a look at this. And we see that in this case, I say, case Mercury, Venus, Earth, Mars, Jupiter, Uranus, Neptune, there we go. And so how would I actually use this.
    Note: Online resource; Title from title screen (viewed March 10, 2022)
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  • 26
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition.
    Keywords: Electronic videos
    Abstract: Learn to pass the Solutions Architect exam with security material 00:00 Intro 03:15 Components of Security 06:14 Identity bases vs. Resource bases 09:59 Cloud Trail 14:58 Role based privilages 19:26 SAML 23:31 Security Use Cases Alright, so I'm live here 52 weeks of AWS, continuing to cover the solutions architect certification material. And today I'm going to talk about securing user and application access. Probably one of the most timely topics that we can discuss for cloud computing, there is a lot of increased risk of cybersecurity threats in in the world right now. And there's conflicts that could potentially make your organization really need to care a bit more about cybersecurity. And so this is a great topic for today. So let's go ahead and dive right in here. I'm going to talk through this material on securing user and application access. I'm going to go ahead and share my screen if you're watching. Live here with the video, and let's get to it. Okay, so first up securing user application access. We're talking about some of the things like architectural needs the user account and I ns, how to organize users do federated users multiple accounts. also play around a little bit with AWS itself and do some demos, if it seems like it's needed. So by the end of this talk, today, I'm going to cover I am groups roles, how to use user Federation, also about AWS organizations, and how to manage multiple AWS accounts, which is, in fact, a really good process for many organizations. Okay, let's get into architectural need first.
    Note: Online resource; Title from title screen (viewed March 10, 2022)
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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
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    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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  • 29
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    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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  • 30
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    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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  • 31
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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: 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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  • 32
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: I walk through the official Swift guide and try out Operators. 00:00 Intro 02:47 basic statements 08:00 Basic operator types 14:59 Conditional Statements 22:00 For loops with range 28:00 NOT AND OR
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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  • 33
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (74 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With over 75 million downloads per month, Spring Boot is the most widely used Java framework available. Its ease and power have revolutionized application development from monoliths to microservices. Yet Spring Boot's simplicity can also be confusing. How do developers learn enough to be productive immediately? This practical book shows you how to use this framework to write successful mission-critical applications. Mark Heckler from VMware, the company behind Spring, guides you through Spring Boot's architecture and approach, along with topics such as debugging, testing, and deployment. If you want to develop cloud native Java or Kotlin applications with Spring Boot rapidly and effectively-using reactive programming, building APIs, and creating database access of all kinds-this book is for you. Learn how Spring Boot simplifies cloud native application development and deployment Build reactive applications and extend communication across the network boundary to create distributed systems Understand how Spring Boot's architecture and approach increases developer productivity and application portability Deploy Spring Boot applications for production workloads rapidly and reliably Monitor application and system health for optimal performance and reliability Debug, test, and secure cloud-based applications painlessly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 34
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (222 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With the second edition of this practical guide, Stoyan Stefanov-designer of the YSlow 2.0 performance tool-shows you how to build React components and organize them into maintainable, large-scale apps. If you're familiar with basic JavaScript syntax, you're ready to get started. Through the course of the book, web developers and programmers will build a complete custom app that lets you store data on the client. You'll quickly learn why some developers consider React the key to the web app development puzzle.
    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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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren't that specific, so customer data is treated the same way as, for example, astronomical or genomic data. This practical guide introduces powerful methods for behavioral data analysis that you're probably not aware of. Advanced experimental design will help you get the most out of your A/B tests, while causal diagrams will allow you to tease out causality from correlation even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data-immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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  • 36
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (69 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations-without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 37
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Save time and trouble building object-oriented, functional, and concurrent applications with Scala 3. The latest edition of this comprehensive cookbook is packed with more than 250 ready-to-use recipes and 700 code examples to help you solve the most common problems when working with Scala and its popular libraries. Whether you're working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for experienced Scala developers and for programmers just learning to use this JVM language. Author Alvin Alexander includes practical solutions from his experience using Scala for highly scalable applications that support concurrency and distribution. Recipes cover: Strings, numbers, and control structures Classes, methods, objects, traits, packaging, and imports Functional programming in a variety of situations Building Scala applications with sbt Collections covering Scala's wealth of classes and methods Actors and concurrency List, array, map, set, and more Files, processes, and command-line tasks Web services and interacting with Java Databases and persistence, data types and idioms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 38
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (622 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust's rules clearly and economically. You'll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Rust's all-purpose Cargo tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 39
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 40
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (81 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 41
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (92 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself. Author Dr. Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focusing on industrial applications, and learn numerous algorithms, frameworks, and environments. This is no cookbook-it doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into value methods and policy gradient methods Apply advanced RL implementations such as meta learning, hierarchical learning, evolutionary algorithms, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying Git repository
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 42
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (136 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Node.js is used by many companies for building performant backend services without sacrificing developer efficiency. Thanks to its approachable API and familiar syntax, Node.js is loved by engineers and used by startups and Fortune 500s alike. Backed by the world's largest package repository, its enterprise foothold is only expected to grow. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack. Learn why running redundant copies of the same Node.js service is necessary Know which protocol to choose, depending on the situation Fine-tune your application containers for use in production Track down errors in a distributed setting to determine which service is at fault Simplify app code and increase performance by offloading work to a reverse proxy Build dashboards to monitor service health and throughput Find out why so many different tools are required when operating in an enterprise environment
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 43
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    [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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  • 44
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: React helps you create and work on an app in just a few minutes, but learning how to put all the pieces together is hard. How do you validate a form? Or implement a complex multistep user action without writing messy code? How do you test your code? Make it reusable? Wire it to a backend? Keep it easy to understand? The React Cookbook delivers answers fast. Many books teach you how to get started, understand the framework, or use a component library with React, but very few provide examples to help you solve particular problems. This easy-to-use cookbook includes the example code developers need to unravel the most common problems when using React, categorized by topic area and problem. You'll learn how to: Create a single-page application in React using a rich UI Structure code that can be worked on by large teams Integrate with backend services such as REST and GraphQL Use offline caching with technologies such as Redux or MobX Secure applications with technologies such as OAuth Deal with bugs and avoid common functional and performance problems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 45
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language-in fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein-creator of xlwings, a popular open source package that allows the automation of Excel with Python-shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for their daily automation tasks. This guide gets you started. Use Python without previous programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio Code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Write unit tests in Python to build solid spreadsheets
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 46
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM platforms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 47
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. When it comes to operating and scaling OpenShift, you need to understand how to manage and expose resources to application teams and how to continuously deliver changes to applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. This book shows you how to: Manage multiple teams in their use of OpenShift and Kubernetes Promote the efficient use of data center resources Deliver highly available applications and services Manage application tenancy throughout the enterprise Provide multicluster management and high availability Apply continuous updates to OpenShift and Kubernetes Devise and deliver disaster recovery strategies
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness
    Note: Online resource; Title from title page (viewed March 25, 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 (84 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn: Basic and advanced uses of Kafka Streams and ksqlDB How to transform, enrich, and process event streams How to build both stateless and stateful stream processing applications The different notions of time and the role it plays in stream processing How to to build event-driven microservices on top of continuous event streams Features, operational characteristics, deployment patterns, and configuration tips for both technologies
    Note: Online resource; Title from title page (viewed March 25, 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 (158 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly
    Note: Online resource; Title from title page (viewed February 25, 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 (76 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book's updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafka's AdminClient API, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: How publish-subscribe messaging fits in the big data ecosystem Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
    Note: Online resource; Title from title page (viewed October 25, 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 (122 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale. The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days. Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka
    Note: Online resource; Title from title page (viewed July 25, 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 (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Go is rapidly becoming the preferred language for building web services. There are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages. But tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner explains the rationale behind the Go team's design decisions and reveals design patterns that experienced Go developers have adopted. You'll learn how to structure your project and choose the proper tools and libraries to create successful software. Learn how to write idiomatic code in Go and design a Go project Understand the reasons for the design decisions in Go Set up a Go development environment for a solo developer or team Explore which libraries to select when solving problems Learn how Go's features allow the language to run efficiently Know which Go features you should use sparingly, or not at all
    Note: Online resource; Title from title page (viewed May 25, 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 (110 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting
    Note: Online resource; Title from title page (viewed May 25, 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 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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    [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: A walkthrough of Chapter 5 of the O'Reilly book Practical MLOps. Topics include: * Getting models into production * Feature Store vs Data Warehouse * AutoML * MLOps * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * Spark * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 14, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    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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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    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 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Create a Vim plugin from scratch and get to understand the whole workflow needed to put together a plugin that will work with any file type as well as some specific types like Python or XML. In this video, I'll explain everything you need to know to create a function in Vim, and port anything you may have in your .vimrc over to a specific plugin so that you can distribute it and install it later. Topics include: * Find about public and private functions in Vim * Port existing utilities in a .vimrc to make them a plugin * Map a command to a Vim function Useful links: * Create a Vim Plugin repository * Tim Pope's Pathogen.vim
    Note: Online resource; Title from title screen (viewed November 12, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to walk it out when you are stuck on a hard technical problem.
    Note: Online resource; Title from title screen (viewed November 28, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 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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    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Talks I want to attend virtually at re:Invent 2021 include: Machine Learning Opportunities for Underrepresented Groups ABW001 MLOps at Amazon: How to productionize ML workloads at scale AMZ302 Serverless ML: Machine learning without managing machines SVS313 Large-scale distributed training of media ML models with Amazon FSx NFX204 New technology for athletic training and live insights (sponsored by Intel) AIM211-S 3DAT
    Note: Online resource; Title from title screen (viewed November 27, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 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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    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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    Language: English
    Pages: 1 online resource (1 video file, approximately 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to get started with Github Codespaces and C# and F# right in your browser.
    Note: Online resource; Title from title screen (viewed December 26, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 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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    Language: English
    Pages: 1 online resource (1 video file, approximately 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Get some clarity on MLOps, what it is, and what does it mean to be "doing MLOps" by using a maturity model. A maturity model allows you to accurately determine where in the process of applying MLOps best-practices your team is. In this video, I'll explain some of the challenges with MLOps and why it might be difficult to understand some of its processes. This knowledge gap is what the Practical MLOps book tries to address, by clarifying and simplifying what needs to happen. Topics include: * Explain the Machine Learning Operations Maturity Model * Use techniques to strategize the next steps in a model's lifecycle * Accurately determine what might the next step towards model automation will be Useful links: * Azure Maturity Model
    Note: Online resource; Title from title screen (viewed October 24, 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 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to build Computer Vision MVPs quickly using AutoML. Topics include: * Getting models into production * Apple Create ML * Google Vertex AI * Image Classification * CoreML * Tensorflow * Rapid Prototyping * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 28, 2021) , Mode of access: World Wide Web.
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    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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    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn how to create a Python decorator that can handle exceptions by taking arguments and handling them automatically, saving you time and preventing repetition! In this video I'll walk you through some of the inner workings of decorators, but most importantly, I'll show you how to build a decorator that takes arguments and handles exceptions automatically, avoiding repetition and making your code more readable! Topics include: * Learn how decorators work behind the scenes * Find the differences between a lazy and eager decorator * Work with decorators that take arguments and delay execution Useful links: * Github repository with sample code * Get started with Python
    Note: Online resource; Title from title screen (viewed November 17, 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 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 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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    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 1 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use optimization techninques along with AWS Step Functions
    Note: Online resource; Title from title screen (viewed September 12, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use AWS Step Functions to solve problems
    Note: Online resource; Title from title screen (viewed September 12, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A walkthrough of Chapter 7 of the O'Reilly book Practical MLOps. Learn about real-world computer vision including a recap of Tesla AI day 2021. Topics include: * Getting models into production * Tesla FSD * Tesla Computer Vision * Tesla AI Day * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * AWS App runner * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 24, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to get started on the right setup on your first day as a data scientist or business analytics professional. Topics include: * Business Analytics * Data Science * Google Colab * Jupyter * Github Actions and Github Codespaces * Continuous Integration and Delivery * EDA * GCP * AWS * Azure
    Note: Online resource; Title from title screen (viewed August 28, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Use Google Cloud Functions to quickly build solutions for Data Engineering.
    Note: Online resource; Title from title screen (viewed September 15, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build a DevOps Environment, then convert it into a multiple platform experience with AWS Cloud Shell and AWS Cloud 9. Finally use Amazon ECR to deploy containers to AWS App Runner. Also learn to use GCP Cloud Run as well as AWS Sagemaker. Follow along will reading the best-selling book Practical MLOps.
    Note: Online resource; Title from title screen (viewed November 2, 2021) , Mode of access: World Wide Web.
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    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Compare CI/CD with Github Actions vs AWS Code Build * Click * CI/CD * Github Actions * AWS Code Build * Build Badges
    Note: Online resource; Title from title screen (viewed October 23, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 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 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use AWS Sagemaker Studio to build ML solutions. Example covered include Autopilot, Platform Overview, Architecture and features. Finally a Sagemaker Jumpstart example is walked through.
    Note: Online resource; Title from title screen (viewed November 17, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: A walkthrough of a course you can take by using O'Reilly resources created by Pragmatic AI Lab.
    Note: Online resource; Title from title screen (viewed December 5, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 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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  • 87
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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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    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 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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    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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    Language: English
    Pages: 1 online resource (1 video file, approximately 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A walkthrough of Chapter 1 of the O'Reilly book Practical MLOps. Topics include: * DevOps * MLOps * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * Spark * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed July 31, 2021) , Mode of access: World Wide Web.
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    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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    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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    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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    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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  • 97
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    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 ; 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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  • 98
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    Online Resource
    [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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  • 99
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    Online Resource
    [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: Zero to One: AWS Lambda with SAM and Python in One Hour. Learn to use AWS Cloud9 to develop serverless applications with Python and SAM (Serverless Application Model) Topics include: * Building a Lambda inside of Cloud9 * Deploying a containerized service to Amazon ECR and AWS Lambda * Invoking API Gateway based AWS Lambda services using sam invoke and AWS Cloud9
    Note: Online resource; Title from title screen (viewed April 3, 2021) , Mode of access: World Wide Web.
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  • 100
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    Online Resource
    [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 ; local
    Abstract: Enhance testing Python projects by adding Tox, a testing management tool that can easily create test matrices. In this video course, learn how to use different functional test strategies and expand basic unit testing by combining different software versions. Topics include: * Use Pytest for fast verification of unit tests * Detect missing dependencies that can get packaged and released even when tests are passing * Build a test matrix by adding factors and combinatorial versions by leveraging Tox to avoid boilerplate configuration * Use different Python versions to test the same code
    Note: Online resource; Title from title screen (viewed March 18, 2021) , Mode of access: World Wide Web.
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