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  • English  (143)
  • 2020-2024  (143)
  • 1970-1974  (2)
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  • 2022  (143)
  • Pragmatic AI Solutions 〈Firm〉,  (137)
  • Mead, Margaret
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Material
Language
Years
Year
Subjects(RVK)
  • 1
    Book
    Book
    New York, NY
    Language: English
    Series Statement: Anthropological papers of the American Museum of Natural History
    Keywords: Arapesh ; Anthropologie ; Physiologie ; Medizin ; Neuguinea ; Ozeanien ; Australien
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  • 2
    Book
    Book
    Garden City, NY : Natural History Press
    Language: English
    Series Statement: Anthropological papers of the American Museum of Natural History ...
    Keywords: Arapesh (Papua New Guinean people)
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  • 3
    Book
    Book
    New York [u.a.] : Berghahn Books
    Language: English
    RVK:
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  • 4
    Book
    Book
    New York [u.a.] : Berghahn Books
    Language: English
    RVK:
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  • 5
    Book
    Book
    New York [u.a.] : Berghahn Books
    Language: English
    RVK:
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Cloud computing ; Natural language processing (Computer science) ; Application program interfaces (Computer software) ; Artificial Intelligence ; Natural Language Processing ; Intelligence artificielle ; Infonuagique ; Traitement automatique des langues naturelles ; Interfaces de programmation d'applications ; artificial intelligence ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: I talk with the authors of the new O'Reilly book GPT-3 about a range of topics including why they wrote the book. 00:00 Intro 01:30 Why did you write the book? 11:30 Can you write code by talking with GPT-3? 16:00 Is Async Work + GPT-3 a good combination? 19:30 Replica 23:00 How could someone with no technical background write code by talking with GPT-3? 29:30 Could we have organic technology where companies don't harm humans at scale? 39:00 The challenges of making ethical AI software 42:00 Do Tech companies pretend they cannot be ethical, but don't because it lowers profits? 45:00 You cannot predict what they models will do 49:00 Do tech leaders set the values of their companies? 52:00 Are humans often lacking in moral values with technology as well? 54:00 How you can buy the book and follow the authors.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Apple Swift. This episode covers methods 00:00 Intro 01:01 Instance methods 03:40 The self Property 05:29 Modifying Value Types from Within Instance Methods 05:54 Type methods.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022). - Vendor-supplied metadata
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn about caching content in the next episode of 52 weeks of AWS 00:00 Intro 00:40 Trading capacity for speed 03:00 Why Cache? 06:00 CloudFront 12:00 DDoS mitigation 14:00 Sticky sessions 17:00 Side Caches 20:00 Memcached versus Redis 21:09 Caching Strategies.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (35 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification with a deep dive into Part 2 of the Sagemaker Pipelines material. 00:00 Intro 02:39 Drop missing values 04:46 Outliers 06:57 Feature selection 10:55 File formats for machine learning 13:46 K-fold cross validation 15:55 Training models with Amazong SageMaker 17:33 XGBoost 19:29 Is your model ready to deploy? 22:05 Creating an endpoint 23:26 Machine learning pipeline 25:30 Confusion matrix 27:27 Sensitivity 29:02 Classification report: ROC graph 30:51 Hyperparameter categories 32:06 Sagemaker hyperparameter tuning.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Continuing to go through Swift language guide 00:00 Intro 01:46 Person Class 04:03 If else statements 06:34 subscript with getter and setter and function 08:18 putting optional chaining together.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 11
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Live coding Ludwig inside of Github Codespaces 00:00 Intro 02:28 Introduction to Ludwig 04:57 Creating Github Codespaces for Ludwig 08:30 Installing Ludwig inside of Github Codespaces with Ubuntu 12:32 Grabbing data for Ludwig to train Rotten Tomotoes on and do binary classification 16:48 Trying to figure out why lzma is not working 22:50 Failing hard on figuring out why lzma is not working (note need to compile Python). Will fix in next episode..
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Error Handing with Swift 00:00 Intro 01:07 Propogating Errors 01:47 Looking at an entire error propogation class 03:35 Using guards in Swift 06:01 Using catch in Swift 08:07 Using functions in Swift 09:45 Using a defer.
    Note: Online resource; title from title details screen (O'Reilly, viewed June, 21, 2022)
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Explore Open AI using Github Codespaces 00:00 Intro 03:12 Getting started with OpenAI 06:45 Using Open AI Quickstart Guide with NLP prompts 09:16 Tokens and probabilities 10:46 Trying out Python Flask with Open AI 12:00 Setting up Github CodeSpaces 14:00 Create and source virtualenv 16:00 Create OpenAI API keys in Visual Studio Code 18:55 Setup requirements.txt for Open AI and Flask 20:00 Run Flask OpenAI NLP web app in Github CodeSpaces with Browser preview 22:00 Understand the OpenAI function and test it out with IPython locally.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 14
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Machine learning ; Computer software ; Development ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: More Hugging Face exploration by Building a Computer Vision Predictor with Gradio 00:00 Intro 00:42 Hugging Face walkthrough 02:09 Create new Hugging Face Space 03:28 Build Gradio app in Hugging Face browser 04:44 Experiment with Gradio UI 07:31 Try Hosted Inference API 09:28 Try DALL-E 17:00 Predict cats with computer vision model 22:00 Try to load packages inside of Spaces user interface browser only 27:00 Toggling to Github CodeSpaces 32:59 Getting Gradio Computer Vision URL predictor working in Github CodeSpaces.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 15
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Exploring concurrency options with Swift 00:00 Intro 01:14 Asynchronous code 03:20 Looking at await 06:19 Using async functions 07:00 Looking at for try await 08:59 Looking at async let 10:53 Exploring actor.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 16
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Web services Study guides Examinations ; Cloud computing Study guides Examinations ; Services Web ; Examens ; Guides de l'étudiant ; Infonuagique ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn networking for the Solutions Architect Exam 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 17
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/8
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Web services Study guides Examinations ; Cloud computing Study guides Examinations ; Electronic data processing personnel Certification ; Services Web ; Examens ; Guides de l'étudiant ; Infonuagique ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to connect networks on AWS .
    Note: Online resource; title from title details screen (O’Reilly, viewed March 10, 2022)
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  • 18
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn control flow with Swift 00:00 Intro 01:57 For Loops 03:54 For Loops Dictionaries 08:00 While Loops 11:00 Case Statements.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 19
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Apple Swift. This episode covers subscripts. 00:00 Intro 01:43 Subscript Syntax 03:30 Subscript Usage 05:00 Subscript Options 06:47 Subscript Matrix 07:00 Type subscripts.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 20
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Episode three covers serving models with TensorFlow Serving 00:00 Intro 02:02 Launching Github CodeSpaces 04:00 Running make install 05:00 Creating Bash script to run tensorflow serving 09:00 Feeding model to Tensorflow Serving 14:00 Querying Tensorflow Serving API 16:00 Trying Docker version of Tensoflow Serving 22:00 Trying MNIST with Tensorflow Serving 23:00 Using Docker pull to speed up the process 27:30 Invoking Tensorflow Serving model endpoint.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 21
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to pass the AWS Solutions Architect Exam by learning about Databases 00:00 Intro 03:21 Storage Requirements 07:41 RDS Characteristics 12:03 RDS Demo 16:00 DynamoDB 19:21 DynamoDB Demo 23:40 DynamoDB Demo with AWS CloudShell and Boto3 and Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 22
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Amazon Web Services (Firm) ; Infonuagique ; Examens ; Guides de l'étudiant ; Services Web ; Examens ; Guides de l'étudiant ; Examinations ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Continue learning about Solutions Architect certification with the topic of Elasticity. 00:00 Intro 02:00 Reactive architectures 04:39 What is elasticity? 06:00 Scaling horizontal vs vertical 12:35 DynamoDB scaling 15:00 Highly available systems 17:00 Route53 19:16 Monitoring.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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  • 23
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: First episode of the series 52 weeks of MLOps. This episode starts with Tensorflow. 00:00 Intro 03:00 Walk through of options for deploying Tensorflow 06:00 Using Colab Notebook runtime options including GPU and TPU 08:00 Creating a copy of Colab into Github 09:41 Using MNIST dataset to do work with Keras 12:48 Training a model with Keras in Colab 14:00 Running a simple TFX Pipeline in Colab with Tensorflow 23:00 Inspecting the contents of the exported Tensorflow model on disk.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 24
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of Live Coding MLOps I dive into serving out TensorFlow models to the world. 00:00 Intro 02:00 TensorFlow Serving - What is it? 07:00 TensorFlow Serving colab notebook 08:54 Porting code from Colab to Github 10:00 Build Python Tensorflow model scaffolding 13:23 Using pip freeze to get a list of dependencies 17:00 Attemping a first script for MLOps 20:00 Saving the TensorFlow model 24:00 Installing debian packages for TensorFlow serving 29:00 Trying and failing to invoke the model.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 25
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) Certification ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to prepare for the AWS Solutions Architect Exam.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 26
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: iOS (Electronic resource) ; Swift (Computer program language) ; Application software Development ; Mobile apps ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of Swift I talk about inheritence in Swift and how it is used to create a more robust toolchain for iOS and macOS. 00:00 Intro 00:50 Property Values 03:00 Invoking a base Class 05:00 Subclassing 06:49 Subclass of a Subclass 08:00 Overriding.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 27
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn 52 weeks episode 7, swift closures 00:00 Intro; 00:36 What is a closure?; 02:00 Sorted; 06:00 Inferring Type From Context; 15:00 Various exotic topics in closures.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 10, 2022)
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  • 28
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Infonuagique ; Services Web ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Continue learning about Solutions Architect certification this time with automation. Opsworks, Beanstalk, Chef and Cloud Formation. 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 29
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/6
    Keywords: Amazon Web Services (Firm) ; Web applications ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of AWS I continue to cover the solutions architect certification. The topic of building Microservices is the focus today. 00:00 Intro 00:38 Discuss new weekly office hours from noahgift.com for O'Reilly books and Coursera courses. 02:00 What are Microservices? 03:35 What are Microservices? 04:00 Characteristics of Microservices 06:00 What is a container? 09:00 ECS orchestration 11:00 Decomposing monolithic applications 12:32 AWS Fargate 13:00 What is serverless? 15:00 AWS Serverless offerings 15:30 AWS Lambda 23:00 AWS API Gateway 26:00 AWS Step Functions
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 30
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Episode 22 covers the preparing for Disasters. 00:00 Intro 02:37 Planning for failures 03:34 Avoiding and planning for disasters 05:37 Using the Well-Architected Framework design principles 05:51 Recovery Point objectives (RPO) 06:34 Recovery time objective (RTO) 07:12 Plan for disaster recovery 08:03 Storage and backup building blocks 09:50 S3 Cross-Region replication 10:41 EBS volume snapshots 11:41 File system replication 12:50 Compute Capacity recovery 13:44 Strategies for disaster recovery 15:01 Networking design for resilience 15:34 Databases and recovery 16:45 Automation Services: CloudFormation, Elastic Beanstalk and AWS OpsWorks 17:38 Four disaster recovery strategies: Backup and restore, Pilot light, Warm Standby and Multi-site 18:23 AWS Storage Gateway 24:00 Summary of common DR patterns.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 31
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (51 min.)) , sound, color.
    DDC: 004.67/82
    Keywords: Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Detailed conversation about Declarative AutoML with Piero Molino author of Ludwig and co-founder Predibase. 00:00 Intro 00:50 First meeting Piero at Strata in Moscone Center 10:50 Why Declarative AutoML? 12:00 Introducing Declarative ML Systems 16:44 Ludwig: declarative ML systems on PyTorch 18:06 Github Statistics for Ludwig 19:51 Ludwig training example via CLI 21:09 pip install ludwig and using the Programmatic API 26:32 How does Ludwig work? 26:53 Training with Ludwig 27:34 Predicting with Ludwig 29:59 Running Experiments with Ludwig 31:04 ludwig experiment --dataset 32:09 Input - Encoder - Decoder - Output 34:15 ParallelCNN encoding 35:42 Pretrained Transformers: bert distilbert t5 roberta gpt-2 40:44 concat combiner 41:18 Number features decoding 41:37 Vector featuers decoding 41:52 Sequence features decoding 42:30 Training parameters: batch_size, epochs, learning_rate, ... 43:07 Preprocessing parameters 43:33 Speaker Verification 44:03 Expected Time of Delivery 44:35 Summarization 45:04 Distributed Training, Ludwig on Ray 45:23 Running Ludwig on Ray 47:18 Ludwig Hyperpot with RayTune (Advanced) 48:51 Ludwig on Kubernetes 49:15 Managed Ludwig in Predibase 49:54 Predibase: Low-code ML, High-Performance.
    Note: Presenters, Noah Gift and Piero Molino. - Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 32
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Diving into C# and .NET from the beginning with Live coding each week. 00:00 Intro 02:38 New Repository 05:04 Launch Github Codespaces 11:30 Trying out .NET Blazor 16:13 Editing Blazor Pages 22:53 Setting up Github Actions to build and test C#.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 33
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Machine learning ; Computer software ; Development ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: More Hugging Face exploration of datasets 00:00 Intro 01:08 Trying to figure out what to explore in Hugging Face 02:00 Kicking the tires on Auto-Train 06:00 Finding datasets on Hugging Face 13:00 Creating new dataset repository 17:00 Looking through options for dataset repository hosting.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 34
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sagemaker pipelines and the AWS ML Certification 00:00 Intro 03:00 Define business objectives 05:00 Problem framing 07:20 Problem formulation 11:10 What data do you need? 12:37 Observations 14:15 Storing data in AWS 16:21 ETL 17:41 Securing data 19:19 Loading data into pandas 20:18 Descriptive statistics 23:25 Feature selection and extraction 24:40 Encoding ordinal data 25:48 Cleaning data 26:39 Missing values.
    Note: TItle details screen lists the episode as 25, actual video is for episode 26. - Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
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  • 35
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: JavaScript (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Java Learning Java During Live Coding This video series covers live coding the Java Language iteratively thus learning the language. Lessons Covered Include: 1.0 Getting Started with Java and Hello World in GitHub Codespaces Learning Objectives Learn Java Learning to build solutions with Java Learning the key syntax and features of the Java Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 9, 2023)
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  • 36
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing Study guides Examinations ; Big data Data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: AWS Certified Data Analytics (DAS-C01) - Specialty-2023 Learning to take the AWS Certified Data Analytics Certification Exam This video series how to study for the AWS Certified Data Analytics Certification Exam. Lessons Covered Include: 1.0 Introduction to the AWS Certified Data Analytics (DAS-C01) - Specialty-2023 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer Learning Objectives Domain 1: Collection Determine the operational characteristics of the collection system Select a collection system that handles the frequency, volume, and source of data Select a collection system that addresses the key properties of data, such as order, format, and compression 1.0 Introduction to the AWS Certified Data Analytics (DAS-C01) - Specialty-2023 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer 1.7 operationalizing collection system 1.11 job styles batch vs streaming 1.12 data ingestion pipelines 1.13 aws batch demo 1.14 step function demo 1.15 transform data in transit 1.16 handle ml specific map reduce 1.17 install rust cloud9 1.18 build aws rust s3 size calculator Domain 2: Storage and Data Management Determine the operational characteristics of the storage solution for analytics Determine data access and retrieval patterns Select the appropriate data layout, schema, structure, and format Define data lifecycle based on usage patterns and business requirements Determine the appropriate system for cataloging data and managing metadata 2.0 domain intro 2.2 one size database 2.3 serverless data engineering 2.4 provisioning ebs 2.5 retrain models 2.6 use s3 storage 2.7 big data challenges 2.8 build systems tools with rust deduplication Domain 3: Processing Determine appropriate data processing solution requirements Design a solution for transforming and preparing data for analysis Automate and operationalize data processing solutions 3.0 domain intro 3.1 kubernetes key concepts 3.2 kubernetes clust 3.3 kubernetes pods nodes 3.4 services deployments 3.5 running minikube 3.6 minikube fastapi kubernetes 3.7 building tiny container 3.8 aws api app runner 3.9 pytorch fastapi deploy app runner 3.10 aws app runner csharp 3.11 options container orchestration 3.12 AWS ECS Fargate Dotnet Microservice 3.1* 3 load testing locust 3.14 sre mindset mlops 3.15 compute choices 3.16 provisioning ec2 Domain 4: Analysis and Visualization Determine the operational characteristics of the analysis and visualization solution Select the appropriate data analysis solution for a given scenario Select the appropriate data visualization solution for a given scenario 4.0 domain intro 4.1 cleanup data 4.2 scaling data 4.3 labeling data 4.4 mechanical turk labeling 4.5 identify extract features 4.6 feature engineering concepts 4.7 graphing data 4.9 clustering 4.11 kaggle nba quicksight 4.12 sagemaker canvas demo 4.13 train test split Domain 5: Security Select appropriate authentication and authorization mechanisms Apply data protection and encryption techniques Apply data governance and compliance controls 5.0 intro domain 5.1 security access strategy 5.2 firewall 5.5 aws trusted advisor demo 5.6 shared security model 5.7 encryption in transit rest 5.8 data protection aws 5.9 audit network 5.10 integrated security 5.11 plp lambda 5.12 analyze logs aws 5.13-conclusion Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 10, 2023)
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  • 37
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Object-oriented programming languages ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to master DevOps with the Python Language 00:00 Intro 02:12 What is DevOps? 05:00 Create Github Repo 18:00 Statements in Python using Colab 30:32 Create Python Scaffold using Github Codespaces 37:00 Create Python Virtualenv and add to ~/.bashrc 40:53 Launch AWS CloudShell and checkout code 42:09 Launch AWS Cloud9 46:00 Freezing packages with pip freeze 55:00 Setup Github Actions 01:14:31 Test code with Github Actions and Pytest 01:23:00 Build CLI with Python and Python Fire 01:25:52 Build Python Lambda Functions 01:40:00 Build AWS Step Functions 01:43:00 Build Python Fire Step Functions 01:57:00 Build Containerized Microservice with FastAPI and AWS App Runner.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 38
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Bootcamp for Data Learn foundational Python with an emphasis for data In this course, you will learn how to work effectively with Python. You will understand how to use variables, create functions, and work with classes. That foundational knowledge will allow you to understand testing and testing techniques to validate your work and then move onto Pandas and Numpy which allows you to work effectively with data sets and other data science tasks. This is valuable for anyone wanting to get a quick introductory course on Python, like a student, programmer new to Python or aspiring data engineer or data scientist. At the end of this course you'll be ready to work with more advanced concepts with Pandas and Numpy with a solid foundation in Python for any other task. All lessons and videos have accompanying GitHub Repositories with example code. Learn Objectives This course has extensive content that covers Python for beginners and then moves onto more complex Python operations including data analysis, exploration, and manipulation with Pandas and NumPy. It will include the following learning objectives: Work with logic in Python, assigning variables and using different data structures Create functions and classes of different types Write, run, and debug tests using Pytest to validate your work Manipulate data with Pandas Create and modify NumPy arrays Index This course is divided into content for 4 weeks, with 3 lessons per week: Week 1: Introduction to Python Reference GitHub Repository Working with variables and types Introduction to Python data structures Adding and extracting data from data structures Week 2: Python functions and Classes Reference GitHub Repository Working with functions Building classes and using methods Modules and advanced usage Week 3: Testing in Python Reference GitHub Repository Introduction to testing Writing useful tests Test failures Week 4: Introduction to Pandas and Numpy Reference GitHub Repository Basic Pandas usage Working with datasets Introduction to NumPy Resources Week 1 GitHub repository: Introduction to Python Week 2 GitHub repository: Python Functions and Classes Week 3 GitHub repository: Testing In Python Week 4 GitHub repository: Introduction to Pandas and Numpy Python dictionaries Learn Module Testing In Python book Minimal Python book Python for Beginners Learn Path Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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  • 39
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Windows Azure Study guides Examinations ; Database management Study guides Examinations ; Cloud computing Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Microsoft Azure Fundamentals (AZ-900) Certification Pass the Azure fundamentals certification This early release and ongoing course will give you everything you need to pass the Azure Fundamentals (AZ-900) certification. This is the foundational certification for Azure which is essential for working in Microsoft's cloud. The course will go into every content that is relevant to pass the certification including how to create a study guide and strategy to pass the exam. Course overview This course contains a complete walkthrough over all of the content relevant for the AZ-900 certification with a summary and specialized notes after each sections, following the same content that is available as Learning Paths. Aside from the video content, create your own study notes and strategy using the example reference guide This course includes all of the author's study notes so that you can use them in addition to your own notes. Course Content Describe Cloud Concepts Cloud Concepts Study notes Introduction to Azure Fundamentals Discuss Azure concepts Describe code Azure Architectural components About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience studying and passing the AZ-900 is seen throughout this course, where you will get a first-hand experience with study notes, example repositories, and a solid study strategy. Resources Study notes Quick AZ-900 reference guide Azure Remote Compute for VSCode Automated Azure Resource Cleanup Azure SAMBA file share Learn Azure (AutoML) in one hour Deploying containers to Azure Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 40
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Databricks ML Certification Learn to pass Databricks ML Certification weekly by example This video course will show you how to understand the Databricks ML Certification exam and how to pass it. Topics Covered Include: 1.0 Getting started with Databricks and the ML Certification using Azure 2.0 Introduction to using Databricks clusters, the interface, notebooks and the Pandas API for Spark Learning Objectives Learn Databricks ML Certification material Learn Databricks clusters, notebooks and the Pandas API for Spark Additional Popular Resources 52 Weeks of AWS-The Complete Series Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 41
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.26/2
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to install Python from scratch with Github Codespaces. Also learn to use Github Copilot with Ludwig. 00:00 Intro 01:09 Create new Github Repository 01:58 Create new Github Codespace with 16 cores 02:62 Configure Visual Studio Code Dark Theme 03:47 apt-get update and apt-get install python development tools 04:32 Using htop to monitor multi-core load 05:13 downloading python from www.python.org 05:45 Installing python from source 06:40 ./configure --enable-optimizations 07:28 Compiling python with multi-core flag make -j 16 09:24 Finishing install with sudo make altinstall 10:07 Replacing system python by using the newly installed python with ~/.bashrc alias 11:07 Creating virtualenv and sourcing it inside of ~/.bashrc 12:22 Create project scaffold with requirements.txt and Makefile 12:00 Installing ludwig with make install command 13:53 Install Github Copilot 14:29 Commit code and setup Github Actions 17:41 Test out Github Copilot auto-complete with "ludwig".
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  • 42
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Windows Azure ; Cloud computing ; Windows Azure ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Azure in GitHub Actions Authenticate to Azure with GitHub Actions If you need to use GitHub Actions and interact with Azure resources, you'll need to authenticate properly. Authenticating is made easy by direct Action support in a workflow, but it requires a Service Principal created in a specific way that produces output that is required to go into a GitHub Secret. Using a sample GitHub repository, the video lesson will cover all the details you need to know to get a working GitHub workflow step to authenticate to Azure and then use the Azure CLI to perform operations. Learning Objectives In this lesson you will learn: Create a GitHub Action workflow to login to Azure Create an Azure Service Principal with enough permissions Add a GitHub Actions Secret from the Service Principal Run the workflow that uses the Azure CLI Useful Resources Sample GitHub Repository GitHub Actions and GitOps in One Hour Run Python in GitHub Actions Azure Service Principal documentation How to install the Azure CLI Free Azure Certification for Students.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (3 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Enterprise MLOps Interviews Learn Enterprise MLOps from the experts This video series interviews the experts at MLOps to learn how to use MLOps to build and deploy ML models. Interviews Include: Introduction GPT-3: O'Reilly authors Shubham Saboo and Sandra Kublik: I talk with the authors of the new O'Reilly book GPT-3 about a range of topics, including why they wrote the book. Conversation with Piero Molino and Ludwig/Predibase: Detailed conversation about Declarative AutoML with Piero Molino, author of Ludwig and co-founder Predibase. Asaf Somekh, CEO Iguazio: Talk at Duke MIDS MLOps Course: Life of a Model (or the brutal reality of applying ML in enterprises and how to deal with it). Javier Luraschi and Pedro Luraschi, Co-Founders of Hal9.ai: Discuss MLOps with Javascript, including no-code and low-code approaches and Tensorflow.js. Topics Covered Include: Enterprise MLOps MLOps MLOps on AWS MLOps on GCP MLOps on Azure MLOps and DevOps MLOps with Ludwig Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 44
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Google (Firm) ; Machine learning Study guides Certification ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Google Machine Learning Certification Learn Google Machine Learning Certification This video course will show you how to learn Google Machine Learning Certification material to pass the exam. Topics Covered Include: 1.0 Introduction to OpenAI, a one hour exploration of many of the cutting edge AI models and projects you can build in the playground. 2.0 Assimilate Google Professional ML Certification EP2 problem framing heuristics and recommendation engines Learning Objectives Learn to master ML with the Google Machine Learning Certification course Learn to master ML with the Google Cloud Platform Additional Popular Resources 52 Weeks of AWS-The Complete Series Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 45
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: What is the if __name__ condition in Python for? If you've seen __main__ at the end of a Python script and wondered why that is there it is to avoid side effects when importing and allowing you to run the file as a script on the terminal. If you want more details, watch this short video where we work with a Python script to find out those side effects and how the Python script can change once the if condition with __name__ is done at the end. Next Steps Now that you know about the conditional at the end, you might want to explore writing Python scripts that use this trick. There are several examples you can follow in these GitHub repositories with argparse, the Click framework and using sys.argv: argparse GitHub repo examples sys.argv GitHub repo examples Build Python applications from scratch.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 46
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Reinforcement learning ; Python (Computer program language) ; Machine learning ; Apprentissage par renforcement (Intelligence artificielle) ; Python (Langage de programmation) ; Apprentissage automatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn Python in five Minutes with Colab Notebook. Covers statements, lists, dictionaries, and for loops. 00:00 Intro 00:25 Using Colab 00:40 Tables of Contents in Colab 00:55 Save copy in Github 01:05 Print hello world 01:24 print equation 01:50 Using f-strings to print 02:05 using list data structures 02:20 Appending to a list 02:45 Looping with for loops in Python 03:30 Pushing to a list 04:00 Random Pushing to a container 05:19 Using a dictionary in Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 47
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Swift Classes and Structures 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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  • 48
    Online Resource
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Development ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build real-world Python Microservices that enable Continuous Delivery. 00:00 Intro 05:00 Scaffolding a project in Python 08:00 Setup Virtualenv 13:10 Building Makefile 24:00 Setup Github Actions 29:00 Formatting code with Python Black 45:09 Test code with Pytest and Pytest Coverage 50:30 Using Python Fire to build CLI 59:30 Write Wikipedia scraper 1:02:00 Use IPython to interact and debug code in Github Codespaces 1:08:00 Pinning FastAPI version number 1:12:00 Building FastAPI Microservice 1:18:00 Using Text blob NLP service to parse phrases 1:29:00 Debugging broken code 1:34:00 Building container 1:54:00 Setup AWS Code Build push to ECR (Elastic Container Registry) 2:02:00 Setup AWS Code Build to ECR to AWS App Runner Continuous Delivery View the code on Github here: https://github.com/noahgift/python-for-devops-april-2022.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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  • 49
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Information storage and retrieval systems ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to use Python dictionaries to store and retrieve data. Although dictionaries look complex with different ways to represent, retrieve, and store data, they can be straightforward to use. In this course I'll show you how to create, store, retrieve, and loop over dictionaries. Once you go through these different actions, you should be able to choose the right approach to work effectively with dictionaries. If you are already familiar with Python lists and you are ready to take the next step with dictionaries, then this course is for you.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 50
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4038
    Keywords: Application software Development ; Virtual storage (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to deploy a AWS ECS Fargate application for a .NET Blazor App. 00:00 Intro 00:54 Overview of the project and the requirements 02:17 Setting up Cloud9 for .NET 6 03:36 Creating .NET Blazor 04:08 Run locally using dotnet run --urls=http://localhost:8080 05:45 Create Dockerfile 07:28 Run dotnet aws deploy to deploy to AWS ECS 09:12 Grab ECS endpoint and test the application and inspect ECS.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Codespaces and custom dotfiles Add your dotfiles to any Codespace automatically Customize any GitHub Codespace you create or use by automatically getting your dotfiles in there with no effort! You only need a GitHub repository that contains your dotfiles to get this feature enabled in any Codespace you work on You also have the ability to have a setup.sh script that you can use to further customize how GitHub will add your dotfiles to your Codespace at creation time. Learning Objectives In this lesson you will learn: Configure a GitHub Codespace with dotfiles Create a repository with your own dotfiles Additional features you can try with dotfiles in Codespaces Useful Resources Dotfiles and Codespaces documentation Free Azure Certification for Students Introduction to GitHub Actions Run Python In GitHub Actions.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Conda commands for beginners Learn how to use basic conda commands for developing Python If you are new to Conda, you might forget some of its basic commands. Even though I use it all the time, I forget how to remove an environment. In this video lesson, I'll cover the basics of environment creation, package installation, and environment removal. If you are only looking to find how to remove a Conda environment, no need to watch the whole lesson: conda env remove --name [ENV NAME] is the way to go! Conda is very popular because it allows you to install packages beyond Python packages like pip does. You can specify the Python version as well which I also cover in this lesson. Learning Objectives In this lesson you will learn: How to create a conda environment List available environments and check which one is activated Activate and deactivate a conda environment Remove conda environments along with Python packages Useful Resources Python for Beginners Learn Path Minimal Python book Free Azure Certification for Students.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 53
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use AWS to continuously deploy a Hugo site that has global scale. 00:00 Intro 02:00 Create Github Repo 05:52 Launch AWS Cloud9 05:58 Download Hugo binary 11:00 Create Hugo Quickstart 17:00 Adding submodules for theme 23:00 Building Hugo locally and running it in Cloud9 26:00 Setup AWS S3 Static Hosting 30:30 Setup AWS CloudBuild for Continuous Delivery of Hugo 40:00 Verify Hugo deploy works.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Amazon Web Services (Firm) Certification ; Machine learning Study and teaching ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Study and teaching ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification 00:00 Intro 03:00 AWS ML Certification Course Outline 05:21 What is the Data Scientist role? 05:58 Machine Learning engineer 06:33 Applied science researcher 07:08 Machine learning developer role 08:05 Resources and documentation 10:48 AWS SageMaker Studio Lab 13:18 AWS Machine Learning Lens.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
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  • 55
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 52 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Hugging Face Learn Hugging Face weekly by example This video course will show you how to build real-world applications with Hugging Face. Topics Covered Include: 1.0 Assimilate Hugging Face EP1 build cli tool summarize codespaces 2.0 Assimilate Hugging Face EP2 Building CLI Summarizer gradio webapp Learning Objectives Build a CLI tool that invokes models with Hugging Face Use Github Codespaces to code alongside Github Copilot. Additional Popular Resources 52 Weeks of AWS-The Complete Series Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 30 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Object-oriented programming languages ; Computer software Development ; Computer software ; Development ; Object-oriented programming languages ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: DevOps Theory to Practice Go from theory to implementation in this DevOps course with Python and AWS This video course will show you how to start your first day as a DevOps Engineer and progress. Topics Covered Include: DevOps Theory Learn useful Python skills for DevOps including working with the filesystem and processes. Build an AWS Boto3 tool with Python Fire for translation and test it with CI/CD. Build a containerized FastAPI service deployed to AWS App Runner through continuous delivery. Learning Objectives Learn the theory behind DevOps Walk through the implementation of several O'Reilly books including Python for DevOps, AWS for C# and Enterprise MLOps. Build an AWS Translation Service tool with Python and Boto3 Deploy a Pandas FastAPI web service with Python and FastAPI and AWS App Runner Build and use AWS CodeBuild with AWS App Runner Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 24, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Web site development ; Python (Computer program language) ; Web site development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Testing for Beginners Over 1 hour of course material with practice code Quickly learn learn how to test in Python Learn the basics of Python testing in this course. From a brief overview of the standard library to using a more modern approach with Pytest, one of the most popular testing libraries in Python. By the end of this week, you should be comfortable working with existing tests, creating new tests, and debugging test failures. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learning Objectives In this course you will learn to: Understand the basics of testing and its importance Write and run tests with functions and classes Use Pytest for running and creating tests Apply different techniques for debugging including PDB and stopping on failure Use fixtures to simplify tests that make identical assertions Resources Python for beginners course Python Functions and Classes course Python Dictionaries course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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  • 58
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Microsoft .NET Framework ; Application software ; Development ; C (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks .NET - The Series Iterative .NET Live Coding 1.0 52 Weeks Live coding NET ep1- Setup Github CodeSpaces for .NET 2.0 52 Weeks Live coding NET Episode2 - Going through Microsoft tutorial on CSharp 3.0 52 Weeks Live coding NET Episode3 - Running Blazor on .NET Core 4.0 52 Weeks of Live Coding NET Episode 4 - Starting with CDK and Failing 5.0 52 Weeks of Live Coding NET Episode 5 - Building a CDK App and Succeeding 6.0 52 Weeks net EP6 more cdk2.0 - Trying a more complicated CDK app and Failing Topics include CSharp Blazor .NET Core CDK 2.0 Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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  • 59
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate OpenAI Learn OpenAI weekly by example This video course will show you how to build real-world applications with OpenAI's pre-trained cutting edge AI models. Topics Covered Include: 1.0- Introduction to OpenAI, a one hour exploration of many of the cutting edge AI models and projects you can build in the playground. Learning Objectives Learn the OpenAI platform Build a real-world application using OpenAI's pre-trained models Explore the types of projects you can build with OpenAI: Q&A, Summarization, NLP, SQL translation, Python to natural language, etc. Tweaking generated Python code from OpenAI inside of Github CodeSpaces and Cloud9 Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn * AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic Labs course.". - Online resource; title from title details screen (O'Reilly, viewed August 30, 2022)
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  • 60
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Introduction to Azure Functions Create a function with Python and Flask Learn how to create an Azure Function in the fastest way using instant deployment with Visual Studio Code, and then find out how to take it to the next level by using the Flask framework to take advantage of common Python patterns you might already be used to. Finally, we'll go through automation steps using GitHub Actions so that you can re-deploy your Azure Function after merging changes. This will give you confidence for deployment, make it less error-prone, and give you a foundational workflow to implement serverless technology using the Azure cloud. Learning Objectives Create an Azure Function using the Azure Portal Quickly build a function using Visual Studio Code Deploy in one click with the Azure Functions extension Modify your code and routes to use Flask Use GitHub Actions for automating the deployment process About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses with Codespaces is seen throughout this course, where you will get a first-hand experience with practical examples as well as applicable configuration for any development environment. Resources GitHub Codespaces course Microsoft Azure Fundamentals (AZ-900) Certification Pytest Master Class Practical MLOps book.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 61
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Codespaces Course A full introduction to Codespaces with practical examples This course will show you everything you need to know to be productive using GitHub Codespaces , a service that allows you to run a configurable development environment with one-click launch with a remote compute in the cloud. Being able to run Visual Studio Code in the cloud for any project with a pre-configured environment is going to allow you to concentrate on the learning if you are student, the teaching if you are a professor, or being plain productive if you are already a technologist. Learning Objectives This course goes through some of the basics of using default Codespaces environments, but it also goes into configuring environments to take advantage of its best features, including: Learning about Codespaces uses and how it fits for learning, teaching, or working in projects Running default Codespaces and configuring it in your GitHub account Configuring Codespaces for different development environments Applying practical examples in Codespaces environments using Docker, Python, and many other tools About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses with Codespaces is seen throughout this course, where you will get a first-hand experience with practical examples as well as applicable configuration for any development environment. Resources Python Bootcamp Pytest Master Class Practical MLOps book What is GitHub Codespaces Azure Codespaces Template.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes ; Application software Development ; Computer programs ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Kubernetes for Data Learning Kubernetes For Data This video series covers the Kubernetes ecosystem for data. Lessons Covered Include Six Key Lessons: 1.0 What is Kubernetes? 1.1 Cluster Architecture 1.2 Pods and Nodes 1.3 Services and Deployments 2.0 Running Kubernetes with Minikube 3.0 3.0 4.0 5.0 1.1 Docker Container Demo 1.2 Minikube Demo 1.3 Minikube Dashboard 1.4 Deploying a containerized FastAPI App with Kubernetes Learning Objectives Learn Kubernetes for Data Learning to build solutions with Kubernetes for Data Learning the key syntax and features of Kubernetes for Data Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (22 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; PyTorch (Computer program language) ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate PyTorch Learning PyTorch During Live Coding This video series covers live coding the PyTorch Language iteratively while learning the language. Lessons Covered Include: 1.0 Getting started with PyTorch in GitHub Codespaces with GPU (Live Coding) Learning Objectives Learn PyTorch Learning to build solutions with PyTorch Learning the key syntax and features of the PyTorch Framework Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing Study guides Examinations ; Microsoft Azure (Computing platform) ; Microsoft Azure (Computing platform) ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Azure Cloud Learning Azure During Live Coding This video series covers live coding the Azure Cloud. Lessons Covered Include: 1.0 getting started Azure cloud shell and console Learning Objectives Learn Azure Cloud Learning to build solutions with Azure Learning the key syntax and features of Azure Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Live coding". - "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: TypeScript (Computer program language) ; Application software Development ; Application software ; Development ; TypeScript (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Typescript Learning Typescript During Live Coding This video series covers live coding the Typescript Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup Typescript in GitHub Codespaces compile and run hello world examples in the browser and with Node.js Learning Objectives Learn Typescript Learning to build solutions with Typescript Learning the key syntax and features of the Typescript Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (24 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6/782
    Keywords: Google ; Cloud computing ; Google ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Google Cloud Learning During Live Coding This video series covers live coding the Language iteratively thus learning the language. Lessons Covered Include: 1.0 getting started Google Cloud shell apis cloudrun Learning Objectives Learn Google Cloud Learning to build solutions with Google Cloud Learning the key syntax and features of the Python Language on Google Cloud Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/8
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Electronic data processing personnel Study guides Examinations ; Electronic data processing personnel Certification ; Computer technicians Study guides Examinations ; Amazon Web Services (Firm) ; Electronic data processing personnel ; Certification ; Examinations ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: AWS Certified Advanced Networking - Specialty (ANS-C01)-2023 Learning AWS Certified Advanced Networking This video series the AWS Certified Advanced Networking Certification 2023 Lessons Covered Include: 1.0 course intro 1.1 sap prerequisite 1.2 Domain intro 1.3 CDN Pattern 1.4 ELB Design 1.5 Amazon API Gateway 1.6 Route 53 Demo 1.7 Public vs Private Hosted Zones DNS-DEMO 1.8 Load Balancing Layer 3, 4, 7 of OSI Model 1.9 Cloudwatch Metrics Demo 1.1 Layer 1/2 concepts: VLAN, Jumbo Frames 1.11 Multiple AWS Accounts 1.12 VPC Peering 2.0 domain intro 2.1 Infrastructure Automation (IAC) with CDK Demo 2.2 Hybrid Networks 2.3 Authentication and Authorization 2.4 Network Monitoring 2.5 Traffic Management DNS 2.6 AWS Boto3 Cloud9 CodeWhisper Demo 2.7 AWS CLI Demo 3.0 domain intro 3.1 Quotas and Limits in AWS Networking 3.2 Inter-Regional communication patterns 3.3 Network performance testing tools- demo 3.4 VPC Flow logs - Demo 3.5 Different types of Network interfaces AWS 3.6 High-Availability via Route 53 4.0 domain intro 4.1 common security threats 4.2 network acls 4.3 AWS Cloud Trail - Demo 4.4 AWS Trusted Advisor Demo 4.5 Network encryption options AWS 4.6 AWS Shared Security Model 5.0 conclusion Learning Objectives Network Design (25%) Network Implementation (25%) Network Management and Operations (25%) Network Security, Compliance, and Governance Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.26/2
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Python Command Line Tools Course This is a full Python CLI course that will take you from the most basic approaches to command line tools in Python to the more advanced featuers that use frameworks like argparse and Click. Everything on this course is available in the course Repository on GitHub, so that you can follow the examples closely and use that as a foundation with all examples and sample files. Building a CLI is the foundation for automation in your daily work By the end of the course you should feel confident in creating a tool, and the following: Create simple CLI tools without any frameworks Learn about arguments, flags, help menus and how to create them automatically Use the argparse framework to build more complex tools Build a CLI with the Click framework Use special features of Click like colored output and argument types Modularizing and project scaffolding in Python Packaging and packaging files in Python How to create tests and run them automatically Continuous Integration and Continuous Deployment with Github Actions for Python Packaging a CLI tool with an executable Distributing a CLI tool on PyPI (the Python Package Index) How to automatically test your project on a PR (GitHub pull request) How to automate publishing your tool to PyPI on a release We'll cover 3 different ways to create tools, from the very basic (with sys.argv) to using a framework that comes with Python ( argparse), and finally the more involved, by using an external library like Click. This flexibility is essential because it will let you decide when to use a simple single file with no dependencies to a fully featured framework like Click. Then you will learn about the project layout, modularizing and organizing your code in directories and files while keeping everything useful for a CLI. You will test your code using Pytest and then package your code using Python packaging files and tools. You will continue by automating everything, including the testing and linting using GitHub Actions, and finally publishing your project to the Python Package Index so that it can be installed by anyone in the world. Course Resources Course Repository on GitHub Build Python applications from scratch.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6782
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Electronic data processing personnel Certification ; Infonuagique ; Examens ; Guides de l'étudiant ; Services Web ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to pass the AWS Solutions Architect Professional Exam. Hello, my name is Noah gift, and I'll be your instructor. This course is AWS Certified Solutions Architect or SAP, co one, a bit of my background. I've worked for approximately 25 years in technology, written multiple books, and I've been certified on multiple AWS exams, and helped develop exams as well as an SME. One of my goals is to teach you to pass the challenging Solutions Architect exam. Let's go through an overview. First up, we have one tool point, 5% in this domain, for organizational complexity. In domain two, we have designed new solutions; this is about a third of the exam. In domain three, we have migration planning 15% domain for cost control, which is about 12 and a half percent, and then domain five will be continuous improvement, or Kaizen is a term I like to use. Let's go ahead and take a look at some of these domains at a very, very high level. So first up, in terms of design for organizational complexity, you're going to need to know things like cross-account authentication, and access strategies, how to design networks, how to prepare for the multi-account; in domain two, you're going to cover security requirements controls when designing and implementing a solution also, about how to design and implement solutions. And then in in terms of business continuity, and performance objectives, those those are the things you're going to be taking care of. Now, in domain three, you'll talk about migration planning. So how do you take an existing workload, move it to the cloud, speak a few migration tools and cloud architecture for a current solution? In domain four, you're going to go into cost control. So what are the pricing models? What are some design controls? And also, how do you identify opportunities to reduce cost? In domain five, this would be a continuous improvement for existing solutions. So how to troubleshoot, maintain different troubleshooting strategies, develop performance metrics for applications and improve the security of existing solutions. So you can see there are a lot of domains here that we're going to cover and let's go ahead and get started. Domain 1: Design for Organizational Complexity Domain 2: Design for New Solutions Domain 3: Migration Planning Domain 4: Cost Control Domain 5: Continuous Improvement.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.5/35
    Keywords: Cluster analysis Computer programs ; Algorithms ; Machine learning ; Algorithms ; Algorithmes ; Apprentissage automatique ; algorithms ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use K-Means clustering from theory to implementation 00:00 Intro 00:47 Theory of Machine Learning 05:00 Colab Notebook exploration of K-Means Algorithm 06:00 Distance Metrics 08:00 Creating K-Means Pipeline 12:00 Elbow Plots 14:00 Silhouette Plots 17:00 Running K-Means Serial Simulation 18:34 Running K-Means Parallel Simulation 20:00 Spinning up Huge Cloud9 128 GB Ram 32 vCPU Instance 23:00 Running massively parallel K-Means.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn functions in Swift 00:00 Intro 03:00 Calling functions 06:00 Multiple parameters 21:00 Nested functions.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn about Swift Properties.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Testing ; Debugging in computer science ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to master Pytest via these tips and tricks 00:00 Intro 01:00 Key Concepts in Testing 10:00 Key Testing Terminology 15:00 Kazien equals DevOps 18:22 Setup Github 23:00 Setup Github Codespaces 25:00 Explaining Python pip freeze 33:00 Create Makefile 37:00 Pin requirements.txt 38:00 Cloud development environment concepts: AWS Cloud9 to Github Codespaces 43:00 Setup Github Actions 44:00 Configuring Matrix testing of Python 48:00 Building simple Python scripts as part of CI/CD and linting them with Pylint 56:00 Setup AWS CloudShell for CI/CD 01:00:09 Adding Python 3.7, 3.8, 3.9 and 3.10 to Matrix testing 01:04:00 Setup AWS Cloud9 01:11:00 Refactoring Python project to include testing directory and library directory 01:19:00 Setup Python Test Coverage 01:22:00 Adding Pytest to Github Actions YAML file 01:29:00 Creating Python library file that searches wikipedia and tests it 01:36:00 Adding Python Fire command-line tool 01:42:00 Running Pytests by search expression 01:44:30 Running Pytests by specifying tests 01:46:00 Marking tests in Pytest and avoiding slow tests 01:48:00 Profiling testing speed using Pytest 01:56:39 Doing distributed testing with xdist to spread tests to multiple cores 02:05:21 Created distributed testing group to distribute to multiple cores 02:09:00 Setup 32 Core 60GB RAM Cloud9 Machine to run massively parallel Pytests 02:13:58 Running distributed testing that doubles the speed of the tests 02:23:00 Setup Cloud-Native AWS Code Build testing with buildspec.yml that does distributed testing to 8 Core Build client.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Cloud computing ; Microsoft Azure (Computing platform) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps deployment to Azure Container Apps Take advantage of insta-scaling for live inferencing Learn how to deploy an ML container with FastAPI and deploy it to Azure Container Apps with GitHub Actions. This repository gives you a good starting point with a Dockerfile, GitHub Actions workflow, and Python code that already works for generating text using GPT-2 with HuggingFace Transformers. First, you'll go through an architectural overview of the end-result, then you will go through every configuration item needed to set the automation right between Azure and GitHub Actions and the GitHub Container Registry. Finally, you'll see how to deploy and find a few crucial requirements needed for everything to work, like ingress ports and setting the right amount of RAM and CPU. Learn Objectives In this video lesson, I'll go over the details with an example repository you can use for reference including the following learning objectives: Use GitHub Container Registry to push a built container Use the Azure CLI in a GItHub Action to authenticate to Azure How to generate an Azure Service Principal and a Personal Access Token to authenticate Configure Azure Container Apps to correctly serve a model with enough resources Look at deployment logs to ensure things are working right Resources Example repository Practical MLOps book MLOps Maturity Model Packaging ML models MLOps packaging: HuggingFace and Docker MLOps packaging: HuggingFace and Azure Container Registry.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: GitHub (Computer file) ; Application software Development ; Application software ; Development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use Github CodeSpaces and Github Actions to Build and Test C# and XUnit projects. 00:00 Intro 01:03 Create Github Project for C# 01:27 Create Github Codespace 16 core Visual Studio environment 03:15 Create Xunit project with dotnet cli 04:04 Create XUnit test 04:40 Find build and test commands for project 06:51 Setup and run GitHub Actions project 08:04 Verify Github Actions Compiles and Tests C#.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Artificial intelligence ; Web services ; Amazon Web Services (Firm) ; Artificial intelligence ; Cloud computing ; Machine learning ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification Part 2 00:00 Intro 01:56 Artificial intelligence, machine learning, and deep learning. 02:34 Artificial Intelligence 03:10 Machine Learning 03:58 Deep learning 05:11 ML and technology advancements 06:00 Common ML Use Cases 08:14 Types of machine learning 09:21 Supervized learning 10:17 Computer vision 11:08 Unsupervized learning 12:44 Natural language processing 13:20 Reinforcement learning 14:34 Self-driving vehicles 15:04 When to use machine learning 15:35 ML pipeline: Business 16:23 ML pipeline: Data preparation 17:22 ML pipeline: Iterative model training 18:01 ML pipeline: Feature Engineering 19:25 ML pipeline: Model Training 20:18 ML pipeline: Evaluating and tuning the model 21:00 Overfitting and underfitting 22:48 Python tools and libraries 24:57 ML Frameworks 25:50 Amazon SageMaker 26:42 Machine learning managed services 28:30 Machine learning challenges.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Python From Zero Learn Python From the Absolute Beginning This video series covers Python from the absolute beginning with incremental weekly lessons. Introduction Python Basics and How To Run Python Topics Covered Include: Python Basics Python Syntax Mastering Python Learn Python week-by-week Python Strings Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Computer software Development ; Computer software ; Development ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps packaging: HuggingFace and GitHub Container Registry Use automation to package models to GitHub Learn how to package a HuggingFace GPT2 model using automation with MLOps and pushing the result to GitHub Container Registry. With just a little bit of Python and FastAPI you can have a powerful text generation API that is self-documented! Automation is a foundational piece of MLOps, and using GitHub Actions to package a model automatically and on-demand with GitHub Actions you can create robust deployments and testing scenarios for machine learning operations. Learn Objectives In this video lesson, I'll go over the details with an example repository you can use for reference including the following learning objectives: Create a FastAPI application with HuggingFace Interact with the model with HTTP from a container using FastAPI Containerize the application using GitHub Actions Create repository secrets to login and push to GitHub Container Registry (ghcr.io) Resources Example repository Practical MLOps book MLOps Maturity Model Packaging ML models.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 24, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Numerical analysis Data processing ; Information visualization ; Information visualization ; Numerical analysis ; Data processing ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Intro to Pandas Over 1 hour of course material with practice code Quickly learn to use Pandas with examples Learn how to work with data using Pandas and NumPy. From loading and reading datasets from different sources to plotting graphs and exploring common problems in data. Pandas will allow you to perform transformations and export your data into different formats, and NumPy will boost your ability to work with numerical data. This course is meant for beginners that want to understand Pandas from the start and find more about NumPy. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learning Objectives In this course you will learn to: Load and export data from different sources Manipulate data in datasets Apply functions and transform columns Query for specific data Perform common operations on NumPy arrays Resources Python for beginners course Python Functions and Classes course Python Dictionaries course Introduction to Testing in Python course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Computer software Development ; Computer software ; Development ; Rust (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Rust Learning Rust by Live Coding This video series live codes Rust and iteratively learns the language. Lessons Covered Include: 1.0 52 weeks rust ep 1 getting started setup env 2.0 52 weeks rust ep 2 starting scripts 3.0 52 weeks rust ep 3 functions 4.0 52 weeks rust ep 4 loops 5.0 52 weeks rust ep 5 ownership more looping Learning Objectives Learn Rust by Live Coding Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Microsoft .NET Framework ; Application software ; Development ; C (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of .NET Learning .NET and C# by Live Coding This video series live coding .NET and iteratively learning the language. Lessons Covered Include: 1.0 52 Weeks of Live Coding NET Episode 1 codespaces.mp4 2.0 52 Weeks of Live Coding NET Episode 2 Xunit.mp4 3.0 52 Weeks of Live Coding NET Episode 3 Blazor.mp4 4.0 52 Weeks of Live Coding NET Episode 4 failing to get cdk1 working.mp4 5.0 52 Weeks of Live Coding NET Episode 5 success cdk2.mp4 Learning Objectives Learn .NET and C# and F# by Live Coding Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: AWS Solutions Architect Professional (SAP-C02) 2023 Learn from AWS Certification Author, Five Time O'Reilly Author and AWS ML Hero Noah Gift Getting certified by AWS can be a big boost for your career in cloud application development and hybrid architectural design. In this course, a four-part certification prep series--instructor Noah Gift, an AWS ML Hero, shows you the skills you need to know to prepare for and tackle the AWS Certified Solutions Architect Professional exam (SAP-C02). Discover the benefits of the AWS Certified Solutions Architect Professional certification, which validates your ability to design, deploy, and evaluate applications on AWS within diverse, complex requirements. Learn about the two question formats you'll encounter on the exam, the exam content outline, the scoring rubric, and the recommended prerequisites for aspiring candidates. Along the way, Noah reviews cross-account authentication and access strategy, designing networks, and setting up multi-account AWS environments. In Domain 1: Design Solutions for Organizational Complexity, you learn: What you need to know about AWS networking concepts, hybrid DNS concepts, and network segmentation. What you need to be skilled in troubleshooting traffic flows and utilizing service endpoints. Finally, you learn to develop a strategy for centralized security event In Domain 2: Design for New Solutions, you learn to design a deployment strategy to: meet business requirements ensure business continuity determine security controls, design a system to meet reliability requirements optimize costs In Domain 3: Continuous Improvement for Existing Solutions, you learn to determine a strategy to improve overall operational excellence. This process may include alerting and automatic remediation strategies, disaster recovery planning, monitoring and logging solutions, and CI/CD pipelines and deployment strategies. Finally, you determine a system to improve security and how to handle data retention. In Domain 4: Accelerate Workload Migration and Modernization, you learn to be familiar with tools and services for workload migration and modernization, including: assessment and tracking tools portfolio assessment asset planning prioritization and migration of workloads data migration options and tools application migration tools AWS networking services and DNS identity services databases Lessons Include: Learning Objectives This course covers the following learning objectives: Studying for the AWS Certified Solutions Architect Professional exam (SAP-C02) Mastering advanced AWS with Hands on screencasts of popular AWS services Understanding the AWS Certified Solutions Architect Professional exam (SAP-C02) Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Amazon Web Services (Firm) ; Python (Computer program language) ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate AWS with Python Master AWS by Coding with Python in this ongoing series This video series covers mastering AWS in Python from the absolute beginning with incremental weekly lessons. Follow along for a deep dive into programmatically mastering AWS with Python. 1.0 Assimilate AWS by using Github Copilot and Github Codespaces to build solutions for S3, Apigateway and Click. 2.0 refactor boto3 code build translation click tool Assimilate AWS By Coding 3.0 Assimilate AWS By Coding EP3 Bash CloudEnvs Containers: Use Bash to build CloudEnvs and Containers Topics Covered Include: Python Basics Github Repo for Assimilate AWS Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 84
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Git (Computer file) ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Build solutions use the entire GitHub Ecosystem This video series covers all major components of the GitHub Ecosystem. It is a great way to learn how to use GitHub for your projects. Lessons Include: 1.1 Key Concepts GitHub Ecosytem 1.2 demo GitHub Repo with teaching template 1.3 demo codespaces 1.4 demo gpu whisper 1.5 demo gpu hugging face fine tuning 1.6 demo copilot 1.7 demo github actions 2.0 building devops projects with GitHub ecosystem and copilot 3.0 building logistics projects withGitHub ecosystem and copilot Topics Covered Include: Multi-hour project walkthroughs Deploying AWS Microservices Using Github Actions Using Copilot to enable productive AI Pair Programming Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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  • 85
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13
    Keywords: Scripting languages (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Bash Learning Bash During Live Coding This video series covers live coding the Bash Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup Bash GitHub Codespace for Bash and then build a phrase repeator cli with help menu and error handling Learning Objectives Learn Bash Learning to build solutions with Bash the shell Learning the key syntax and features of the Bash Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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  • 86
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (36 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Git (Computer file) ; Computer software Development ; Git (Computer file) ; Computer software ; Development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate GitHub Learning GitHub During Live Coding This video series covers live coding GitHub iteratively thus learning the platform. Lessons Covered Include: 1.0 ep1 getting started with GitHub Codespaces Actions Learning Objectives Learn GitHub Learning to build solutions with GitHub Learning the key technologies of GitHub like Actions, Codespaces, and more Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 87
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to deploy containerized Microservices using Cloud9, ECR, App Runner and FastAPI automatically with AWS Code 00:00 0:37 Continuous Delivery Architecture 01:06 AWS App Runner 01:41 Building Containerized Microservices with FastAPI 03:22 Pinning requirements.txt to a specific version 06:10 Running FastAPI 10:40 Setup ECR 14:19 Setup ECR with AWS App Runner 16:10 Create containerized Flask API Microservice in Github Codespaces 18:54 Testing Swagger UI in Github Codespaces 20:11 Verify FastAPI Microservice in AWS App Runner 22:20 Setup AWS Code Build for Continuous Deployment with App Runner 30:12 Architectural Overview of Continuous Deployment 32:35 Verify Continuous Deployment with AWS Code Build and App Runner.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 88
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build AWS Step Functions with Python and AWS Lambda. Use AWS Cloud9 to test your code locally and the Step Functions console to deploy your code to AWS. 00:00 Intro 00:22 Create AWS Lambda 02:49 Build Fruit Generator 05:01 Create New Test Event 07:18 Invoke AWS Lambda in Cloud9 09:32 Create AWS Step Functions 10:51 Create Second AWS Lambda 11:57 Create test payloads for second AWS Lambda 13:00 Build out the second AWS Lambda logic 15:11 Test bad logic condition 15:30 Build out chain reaction of AWS Step Functions.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 89
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Cloud computing ; Apprentissage automatique ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to master MLOPs patterns with Databricks MLFlow as well as sklearn 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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  • 90
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/6
    Keywords: Microsoft Azure SQL Database ; SQL (Computer program language) ; SQL (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Execute SQL with CSV datasets SQL is usually reserved for interacting with databases but in this video I show how you can use Databricks to run SQL queries against a CSV dataset. There are a few defaults that can make working with a CSV dataset problematic, like disabled schema infering and no headers. These are crucial when running SQL against the CSV since the defaults will treat every single value as a string. Although this video uses Azure Databricks, the same concepts should apply to any Databricks cluster. In this video you will learn: Uploading a CSV dataset to Databricks Create a Notebook to work with the CSV dataset Find potential pitfalls in default options for CSV and SQL Useful Resources Azure Databricks, Pandas, and Opendatasets Free Azure Certification for Students Learn Azure Databricks fundamentals Try Azure for Free Introduction to Azure Databricks.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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  • 91
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.26/2
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to run Python scripts on GitHub Actions! This allows you to handle logic that might be a bit more complex, like setting conditional behavior based on results. I'll show you how in this GitHub Actions lesson for beginners so that you can use this in your own repository easily. Example repo in the lesson resources. Although GitHub actions is powerful as-is, it can get complicated when consuming inputs from other sources like an HTTP request providing JSON output. Imagine a scenario where, depending on the JSON output of an HTTP request you have to do an API call. You might be able to do this with a specialized action or workflow, but with Python it might be easier.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 92
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning Computer programs ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use MLOPs methodology to deploy a Hugging Face Spaces application using Github Actions. 00:00 Intro 00:35 Project Overview of Hugging Face Spaces, Gradio and Github Actions 01:23 Hugging Face Overview 01:52 Creating Hugging Face Spaces 02:28 Creating Github Repo and Github Codespaces with 16 Cores 03:37 Setup Gradio Application and Python Structure 06:12 Installing Tensorflow and running Gradio application with Github Codespaces browser 06:48 Using Hugging Face Token 07:26 Setup Github Actions Secrets with Token from Hugging Face 08:00 Setup Github Actions that pushes to Hugging Face Spaces 09:30 Testing Deployed Hugging Face Spaces Application.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 93
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/8
    Keywords: Amazon.com (Firm) ; Web services ; Cloud computing ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to provision EC2 instances from both the AWS Console and AWS CloudShell. Also learn the key components of EC2 instance provisioning. 00:00 Intro 00:45 EC2 Instance Provisioning Key Component Diagram Walkthrough 03:18 Launching an EC2 Instance from AWS Console 04:06 Creating SSH key pair 04:46 Configuring Security Group rules 05:21 Walkthrough of Advanced Setting including User Data 06:33 Observing EC2 Instance State in Console 07:07 Using AWS CloudShell to launch and controll EC2 Instances 07:44 Finding AMI IDs to launch EC2 Instances from AMI Catalog 08:00 Launching EC2 Instances from AMI Catalog with AWS CloudShell 08:52 Connecting to EC2 Instances from AWS Console and logging into Linux shell 09:40 Walkthrough of EC2 Instance Connection options for Windows with RDP 10:56 Terminating Instances with AWS CloudShell and Bash AWS CLI 11:50 Recap of EC2 Instance Provisioning.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 94
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Windows Azure ; Cloud computing ; Windows Azure ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Automated deletion of Azure Resources Prevent surprise bills with automation Prevent your Azure bill from running wild! In this video I show how you can automate the removal of Azure resources on demand or by schedule. With GitHub Actions and an Azure account you can prevent services from running wild and causing unnecessary billing overcharges! With automation in place, there is no need to remember what VM you left running! First, you'll start by creating a GitHub Action that authenticates to Azure, then you will query locally your resource groups to identify which ones you can delete. Next, you will port the query over to the Action workflow. Finally, you will delete resources that match, making sure those are fully removed, preventing a large bill. You will need a GitHub and Azure account, an Azure Service Principal and the Azure CLI installed locally. Learning Objectives In this lesson you will learn: Create a GitHub Action workflow to query Resource Groups Query Resource Groups that match locally Use scripting to extract Resource Group names Remove Resource Groups with the Azure CLI in GitHub Actions Useful Resources Sample GitHub repository Create an Azure Service Principal for GitHub Actions Azure Service Principal documentation Install Azure CLI Free Azure Certification for Students Introduction to GitHub Actions Run Python In GitHub Actions.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 20, 2022). - Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 95
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use the M1Ultra to train a deep learning model using Ludwig the declarative deep learning framework. 00:00 Intro 00:31 Checking out M1Ultra 64 Core GPU and 20 Core CPU 01:31 Launching Visual Studio Code with a virtualenv 01:49 Checking out Makefile for Ludwig install process on Mac M1Ultra 64 Core GPU and 20 Core CPU machine 03:27 Training the Ludwig model using PyTorch Deep Learning in 30 seconds. Rotten Tomatoes binary classification. 04:28 Checkout out model structure on disk.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 96
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Swift is a programming language that is designed to be a simple, yet powerful. 00:00 Intro 01:30 Diving into Type Casting 02:50 Type Casting in Swift 05:00 Type Casting in Swift with Example.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 97
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: VSCode development environments Learn different options for programming with VSCode Find out different ways you can use VSCode for development: on the web, with Codespaces or locally with configurable Docker containers This video will cover what makes each one different and when you might want to use one vs. the other. From quick edits on GitHub to a more powerful machine backed by a remote compute using Codespaces, it is all about flexibility! Topics Covered Include: Use quick edits with GitHub.dev that show on your repository Open any repository with VSCode.dev Use Codespaces with a powerful remote compute Configure a local codespace with Devcontainers using Docker Additional Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 98
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use a CUDA GPU to speed up code in Python dramatically. CUDA POWERED! This video will show you how to use CUDA GPUs with Python. Topics Covered Include: 00:00 Introduction 00:16 End of Moore's Law 01:15 What is a TPU and ASIC 02:25 How a GPU works 03:05 Enabling GPU in Colab Notebook 04:16 Using Python Numba 05:40 Building Mandlebrots with and without GPU and Numba 07:49 CUDA Vectorize Functions 08:27 Copy Data to GPU Memory Learning Objectives Learn about the End of Moore's Law and ASICs Learn to compare the performance of GPUs and TPUs, and JIT compilers Build your own vectorized functions with Numba and CUDA to speed up your code with GPUs Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 99
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Cutting Edge MLOps from Zero with Hugging Face and OpenAI Learn by doing This video course takes you from zero all the way to building solutions using MLOps. First the theory of MLOps is explained, then you will learn how to build a MLOps style solution from scratch using Hugging Face and OpenAI. You will also learn to use AI tools like Github Copilot, Hugging Face Spaces, and OpenAI Codex. Learning Objectives Learn to use Github Codespaces and customize your environment with devcontainer.json Learn the foundations of MLOps Explore new topics in the upcoming book Enterprise MLOps by O'Reilly Learn to use Github Actions to test AI projects Learn to use Github Copilot to write code for both Hugging Face and OpenAI Learn to build AI solutions using GPT-3 Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 100
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 2 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python for Beginners Over 1 hour of course material with practice code Quickly learn learn the basics of Python In this course, you will learn how to undersetand Python fundamentals. This is an easy course for absolute beginners that will get you introduced to logic, variables, types, and data structures. This should be the first step when learning Python, and this course includes example repositories with interactive Jupyter Notebooks that you can use to practice yourself. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learn Objectives This course has extensive content that covers Python for beginners and then moves onto data structures including handling logic and applying it to sample problems. It will include the following learning objectives: Work with logic in Python Assign variables and use variables Use different data structures like lists and dictionaries Explore some other data structures like tuples and sets Add, modify, and extract data from data structures Resources Python Dictionaries course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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