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  • Pragmatic AI Solutions 〈Firm〉,  (176)
  • Manning Publications 〈Firm〉,  (44)
  • Ford, Neal  (39)
  • Deza, Alfredo  (37)
  • Safari, an O'Reilly Media Company.
  • Internet videos  (266)
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Author, Corporation
  • 101
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 39 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Neurolinguistic programming ; Web services ; Computer software ; Development ; Neurolinguistic programming ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Iteratively Build NLP Tools and FastAPI Microservice on AWS From Zero From Zero to NLP Hero This video will show you how to use CUDA GPUs with Python. Lessons Covered Include: 1.0 Introduction to Course 1.1 Introduction to Python Statements with Colab, IPython and GitHub CodeSpaces 2.0 Introduction to Python functions from simple to complex with Closure, and Decorators 3.0 Build a simple NLP Tool with TextBlob, Wikipedia and Python Fire command-line tool 4.0 Build an end-to-end NLP Microservice with FastAPI, ECR and AWS App Runner. Learning Objectives Learn key software engineering principles and best practices for building software. Learn to build NLP tools using TextBlob and Wikipedia. Learn to build a FastAPI containerized Microservice deployed via Amazon ECR and 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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  • 102
    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: 006.3/1
    Keywords: Machine learning Computer programs ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Doing Hugging Face Building Solutions with Hugging Face This video course will show you how to build solutions with Hugging Face. Topics Covered Include: 1.0 Introduction to Course 1.1 Learn to use MLOPs methodology to deploy a Hugging Face Spaces application using Github Actions. Learning Objectives Build applications with Hugging Face Apply MLOPs methodology to deploy a Hugging Face Spaces application using Github Actions. 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 WT.mc_id=academic-0000-alfredodeza) 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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  • 103
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Julia (Computer program language) ; Computer programming ; Computer programming ; Julia (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of EIL (Exploring Interesting Languages) Learning Interesting Languages Live Coding This video series live coding languages iteratively thus learning the language. Lessons Covered Include: 1.0 52 weeks of exploring interesting languages Episode 1 Julia installing getting started 2.0 52 weeks of exploring interesting languages Episode 2 Julia strings 3.0 52 weeks of exploring interesting languages Episode 3 Julia functions 4.0 52 weeks of exploring interesting languages Julia Episode 4 Julia piping vectorizing functions 5.0 52weeks EIL Julia EP5 Control Flow Learning Objectives Exploring interesting languages and frameworks Learning to code in Julia 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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  • 104
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/6
    Keywords: SQL (Computer program language) ; Computer programming ; Programming languages (Electronic computers) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate SQL Learning SQL During Live Coding This video series covers live coding the SQL Language iteratively thus learning the language. Lessons Covered Include: 1.0 Creating a GitHub Codespace with Python and PostgreSQL integration and finishes with a successful SQL query Learning Objectives Learn SQL Learning to build solutions with SQL and other languages like Python, Javascript and more. Learning the key syntax and features of the SQL 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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  • 105
    Online Resource
    Online Resource
    [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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  • 106
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Amazon Web Services (Firm) ; Cloud computing Study guides Examination ; Web services Study guides Examinations ; Machine learning Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: AWS Certified Machine Learning - Specialty (MLS-C01)-2023 Learn to pass the AWS Certified Machine Learning - Specialty (MLS-C01) exam This video series prepares you to pass the AWS Certified Machine Learning - Specialty (MLS-C01) exam. The AWS Certified Machine Learning - Specialty (MLS-C01) exam is a pass or fail exam. The exam is scored against a minimum standard established by AWS professionals who follow certification industry best practices and guidelines. Domain 1: Data Engineering 1.0 course intro 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 domain one intro 1.8 data storage 1.9 determine storage medium 1.10 using s3 demo 1.11 job styles batch vs streaming 1.12 data ingestion pipelines 1.13 aws batch demo 1.14 step function demo Domain 2: Exploratory Data Analysis 2.0 domain intro Sanitize and prepare data for modeling 2.1 cleanup data 2.2 scaling data 2.3 labeling data 2.4 mechanical turk labeling Perform feature engineering 2.5 identify extract features 2.6 feature engineering concepts Analyze and visualize data for machine learning 2.7 graphing data 2.9 clustering Conclusion 2.10 conclusion Domain 3: Modeling 3.0 domain intro Frame business problems as machine learning problems 3.1 when to use ml 3.2 supervised vs unsupervized 3.3 selection right ml solution Select the appropriate model(s) for a given machine learning problem 3.4 select models 3.5 sagemaker canvas demo Train machine learning models 3.6 train test split 3.7 optimization 3.8 compute choice Perform hyperparameter optimization 3.14 neural network architecture Evaluate machine learning models 3.18 overfitting vs underfitting 3.19 selecting metrics 3.22 compare models experiment tracking Conclusion 3.23 Conclusion Domain 4: Machine Learning Implementation and Operations 4.0 course intro Build machine learning solutions for performance, availability, scalability, resiliency, and fault 4.1 logging monitoring 4.2 multiple regions 4.3 reproducible workflow 4.4 aws flavored devops Recommend and implement the appropriate machine learning services and features for a given 4.5 provisioning ec2 4.5 compute choices 4.6 provisioning ebs 4.7 aws ai ml services Apply basic AWS security practices to machine learning solutions. 4.9 plp aws lambda 4.10 integrated security Deploy and operationalize machine learning solutions 4.13 sagemaker workflow 4.14 doing predictions with sagemaker canvas 4.16 retrain models Conclusion 5.0 course conclusion Topics Covered Include: Domain 1: Data Engineering Domain 2: Exploratory Data Analysis Domain 3: Modeling Domain 4: Machine Learning Implementation and Operations 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 8, 2022)
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  • 107
    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: 005.133
    Keywords: F (Computer program language) ; Application software Development ; Application software ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate F Learning Fsharp During Live Coding This video series covers live coding the Fsharp Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup Fsharp in Visual Studio Code and GitHub Codespaces and build interactive Fsharp scripts and projects Learning Objectives Learn Fsharp Learning to build solutions with Fsharp Learning the key syntax and features of the FsharpLanguage 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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  • 108
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: TypeScript (Computer program language) ; JavaScript (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate HTML/CSS/JS Learning Assimilate HTML/CSS/JS During Live Coding This video series covers live coding the Assimilate HTML/CSS/JS iteratively thus learning the language. Lessons Covered Include: 1.0 Get started with HTML, CSS and render out several static websites using node.js express. Learning Objectives Learn HTML/CSS/JS Learning to build solutions with HTML/CSS/JS Learning the key syntax and features of the HTML/CSS/JS 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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  • 109
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Architecture is less about the appearance than it is about the structure of a system, whereas in design, appearances matter. Join us for a special conversation with Neal Ford and software virtuosi Mark Richards and Raju Gandhi who'll discuss the subtler differences between software architecture and software design. You'll examine the difficulties involved in making major changes to your architecture once it's in place and get expert advice on how best to handle both structure and appearance when designing a new system. What you'll learn and how you can apply it See what's coming next with software architecture This recording of a live event is for you because... You want to hear Neal Ford, Mark Richards, and Raju Gandhi talk about software engineering and architecture. You're looking for ways to improve your architecture. Recommended follow-up: Read Fundamentals of Software Architecture or listen to the audiobook Read Software Architecture: The Hard Parts (book) Read Head First Git (book) Take Software Architecture by Example (live online course with Neal Ford) Attend Software Architecture Superstream: Software Architecture Trade-Offs (live event on January 18).
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 110
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing Study guides Examinations ; Microsoft Azure (Computing platform) Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Microsoft Azure Data Scientist Associate (DP-100)-2023 Learn DP-100 and get certified as an Azure Data Scientist This video series covers the Azure Data Scientist Associate (DP-100). Lessons Covered Include: Domain 1: Design and prepare a machine learning solution 1.0 course intro 1.1 prerequisite technology 1.2 compute specification workload ml training 1.3 create azure ml workspace 1.4 explore azure ml workspace 1.5 create manage datasets 1.6 create compute 1.7 monitor compute Domain 2: Explore data and train models 2.1 load transform data 2.2 analyze data azure data explorer 2.3 azure data explorer demo 2.5 use designer 2.7 automl azure ml studio 2.9 develop with jupyter notebook 2.10 develop with visual studio code 2.11 train model python sdk Domain 3: Prepare a model for deployment 3.1 configure compute for job run 3.2 GitHub to Azure Cloud Shell Feedback Loop 3.3 explore open datasets python sdk 3.4 explore azure ml cli 3.9 describe MLflow model output azure ml studio databricks 3.10 mlops mlflow tracking 3.11 dbmlops open source mlflow Domain 4: Deploy and retrain a model 4.1 real time and batch deployment 4.3 end to end ml databricks mlflow 4.4 dbmlops end to end mlops on databricks 4.5 using azure open datasets automl 4.6 trigger Azure Machine Learning Pipeline GitHub 5.0 conclusion Learning Objectives Manage Azure Resources for Machine Learning Run Experiments and Train Models Deploy and Operationalize Machine Learning Solutions Implement Responsible Machine Learning 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 December 12, 2022)
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  • 111
    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: 004.67/82
    Keywords: Cloud computing ; Computer software Development ; Cloud computing ; Computer software ; Development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate AWS Cloud Development Kit (CDK) Learning CDK During Live Coding This video series covers live coding CDK iteratively. Lessons Covered Include: 1.0 getting started with AWS Cloud9 and the AWS CDK or AWS Cloud Development Kit Learning Objectives Learn Infrastructure as Code (IaC) with AWS CDK Learning to build solutions with CDK Learning the key syntax and features of the CDK Python API and other languates 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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  • 112
    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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  • 113
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Data mining ; Data sets ; Data mining ; Data sets ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Data Science Projects Assimilate Data Science Projects During Live Coding This video series covers live coding data science projects iteratively and learning the language. Lessons Covered Include: 1.0 Exploring life expectancy data globally using Jupyter and Pandas Learning Objectives Learn how to use Jupyter and Pandas to explore data and explore data science projects Learning to build solutions for data science projects Learning the key syntax and features of the Python 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: "Pragmatic AI Labs Course.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 114
    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: 005.1/2
    Keywords: Computer software Development ; Software architecture ; Computer software ; Development ; Software architecture ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Containers Learning Containers During Live Coding This video series covers live coding Containers iteratively while learning the concepts. Lessons Covered Include: 1.0 ep1 getting started containers build tiny bash container Learning Objectives Learn Containers Learning to build solutions with Docker, Containers and Kubernetes Learning the key syntax and features of Containers 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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  • 115
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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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  • 116
    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: 006.7/8
    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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  • 117
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Electronic data processing ; Programming languages (Electronic computers) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Data science is fast becoming one of the most well-suited occupations for success in the twenty-first century, and the need for data scientists has been increasing in the employment market over the last several years. The work is computerized, programming-driven, and analytical in nature, a natural fit for people with a unique mix of scientific training, computer expertise, and analytical abilities. If you have an interest in data science, this course will provide you with the skills and knowledge you need to enter this career path. Learn to work with data in Python—the language most often used in data analysis—on the Jupyter Notebook platform. Install and explore essential Python libraries for data science. Use the NumPy library to apply numerical operations to data. Work with data structures in Pandas, a powerful open-source tool built on top of NumPy. There’s a lot to learn, so this course goes step-by-step, skill-by-skill, and exercise-by-exercise. Each lesson builds on previous lessons to reinforce and build on what you’ve learned. Our goal is to equip you with all the tools you need to learn, practice, and master Python, Numpy & Pandas. You'll walk away from each video with a fresh idea that you can put to use right away!
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 118
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Go (Computer program language) ; Computer software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Go Learning Golang During Live Coding This video series covers live coding the Go Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup GitHub Codespaces and run hello world Go Learning Objectives Learn Go Learning to build solutions with Go Learning the key syntax and features of the Go 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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  • 119
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 6 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by HASURA With an eye to the future, many organizations have made the move to microservices as a means of decomposing monolithic legacy systems. But what does a distributed system mean for delivering data? Join us to discover how understanding the intersection of software architecture and data can help you achieve new levels of velocity, agility, reliability, and efficiency. If you're looking for ways to manage data as a software architect or developer, these sessions will help you learn what's involved so you can chart a course toward a successful solution. About the sponsor: Hasura is a GraphQL API engine that gives you instant GraphQL APIs on all your databases, speeding up development time and making your engineering teams super productive. What you'll learn and how you can apply it Understand how to use current technologies to implement systems in a more customer-centric way Learn how to apply best practices for software to your data Discover which software architecture issues you should consider when adopting and designing systems based on the NoSQL and distributed SQL databases This recording of a live event is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to better understand how to solve the unique problems of integrating data into your architecture. Recommended follow-up: Listen to Fundamentals of Software Architecture (audiobook) or read the book Read Software Architecture: The Hard Parts (book) Read Data Mesh (book) Read Foundations of Scalable Systems (book) Take Event-Driven Architecture and Data (live online training course with Adam Bellemare) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 120
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    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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  • 121
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    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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  • 122
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    Online Resource
    [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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  • 123
    Online Resource
    Online Resource
    [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: 005.13/3
    Keywords: C++ (Computer program language) ; C++ (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate C++ Learning C++ During Live Coding This video series covers live coding the Language iteratively thus learning the language. Lessons Covered Include: 1.0 github codespaces cpp hello world calculator Learning Objectives Learn C++ by live coding Learning to build solutions with C++ Learning the key syntax and features of the C++ 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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  • 124
    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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  • 125
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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: 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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  • 126
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (42 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Haskell (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Haskell Learning Haskell During Live Coding This video series covers live coding the Haskell Functional Programming Language iteratively thus learning the language. Lessons Covered Include: 1.0 Getting started with Haskell in GitHub Codespaces Learning Objectives Learn Haskell Learning to build solutions with Haskell Learning the key syntax and features of the Haskell 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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  • 127
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 13 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 Functions Master Class 2023: Master Functions in Python and Deploy to AWS, GCP, and Azure Learning Python Fuctions During Live Coding This video series covers live coding the Language iteratively thus learning the language. Lessons Covered Include: 1.0 Master Functions in Python and Deploy to AWS, GCP, and Azure while learning click, fire and FastAPI Learning Objectives Learn Python Functions Learning to build solutions for the cloud using Python Learning the key syntax and features of the Python 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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    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/46
    Keywords: Linux ; Client/server computing ; Information technology Management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course will help you fully understand the most important and fundamental concepts of Linux server administration. More importantly, you will be able to put those concepts to use in practical real-world situations. You'll be able to configure, maintain, and support a variety of Linux systems. You can even use the skills you learned to become a Linux System Engineer or Linux System Administrator. In this course the author has shared his favorite Linux command line tricks. These tips will make your life easier at the command line, speed up your work flow, and make you feel like a certified Linux command line Ninja! If you want to see the pages of Command Line Kung-Fu come to life, then you have to watch these videos! You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (19 hr., 21 min.)) , sound, color.
    Edition: Second edition.
    DDC: 005.2/762
    Keywords: Java virtual machine ; Java (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. The Well-Grounded Java Developer, Second Edition introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distill their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical guide. You’ll discover how Java works under the hood and learn design secrets from Java’s long history. Each concept is illustrated with hands-on examples, including a fully modularized application/library and creating your own multithreaded application.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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  • 130
    Online Resource
    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.8
    Keywords: Linux ; Computer security ; Computer security Standards ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Keep yourself and your company out of the news by protecting your Linux systems from hackers, crackers, and attackers! This course will not only teach you the security concepts and guidelines that will keep your Linux servers safe, it will walk you through hardening measures step-by-step. By the end of this course you will be able to tighten up the security on any Linux system. You'll learn the security weaknesses of the Linux operating system and be given step-by-step instructions on how to protect those weaknesses. You'll even learn some security concepts that apply to information security as a whole while focusing on the Linux specific issues that require special consideration.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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  • 131
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: If you want to learn how to write Python programs like a pro, code python like a boss, solve real-world problems, or automate repetitive and complex tasks, read on. In this course you'll learn when to use Python 2 and when to Use Python 3. The great news is that no matter which version of Python you choose to use, I've got you covered. I'll show you exactly how to program in both versions. Perfect for Windows, Linux, Unix, Mac, the Web and More! Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it web applications. By the end of this course you will be able to create Python scripts with ease. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, Unix, or MAC systems.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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  • 132
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: JavaScript (Computer program language) ; Document Object Model (Web site development technology) ; Web site development ; Web sites Design ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Create fun and practical mini projects with JavaScript. Grow your portfolio. Add interactive or dynamic content to your web pages. If you want to do any or all of these things, this is the course for you! JavaScript can bring your web pages to life by interacting with the Document Object Model or DOM. Select page elements, make changes, and update them as needed. Power up your web pages with exciting content, driven dynamically with JavaScript. Learn by doing. Multiple projects help you learn about JavaScript and interacting with the DOM—and practice what you learn at the same time! These fun projects will also introduce you to new possibilities of what can be done with JavaScript.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 133
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Google Apps ; Web applications ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The course shows you how to apply a Google Apps Script to create a time-saving micro-application using connected Google Workspace apps to produce amazing functionality. Source code is included. You’re taught by an instructor with many years of real-world Google web development experience.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 134
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7
    Keywords: Web sites Design ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn all the core fundamentals of modern web design, covering all the commonly used syntax for HTML and CSS. This course is designed to get you started quickly and easily with creating web pages. The course covers all the essentials so that you can begin your journey to create amazing-looking websites. Add JavaScript to make your web pages come to life. You’ll cover the core concepts of JavaScript so that you can try the code and get familiar with what it does. Using JavaScript, you can access the HTML DOM in the browser, which allows you to interact and manipulate web page content. JavaScript creates the interactive and dynamic content seen today in all major modern web pages. Explore the many samples of source code and examples to see how you can start coding quickly and focus on designing your webpages. Each section comes with a PDF guide that includes useful section resources, and source code from the lessons so that you can try the code for yourself.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 135
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/46
    Keywords: Linux ; Operating systems (Computers) ; Open source software ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course you will fully understand the most important and fundamental concepts of Linux server administration. More importantly, you will be able to put those concepts to use in practical real-world situations. You'll be able to configure, maintain, and support a variety of Linux systems. You can even use the skills you learned to become a Linux System Engineer or Linux System Administrator.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 136
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/8
    Keywords: Microsoft .NET Framework ; Web applications ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Blazor gives .NET developers the chance to leverage their C# skills and build interactive web UIs. Writing modern web applications with a rich UI can be tedious. So in this course, you will learn Modern Web Development with Blazor and .NET 5 (This course has been updated to show how you can create the project using Visual Studio 2022 and .NET 6.), you will gain the ability to build web applications using Blazor. We will explore: setting up your first Blazor application; how to work with an API and how data binding works; how to create components and integrate JavaScript components. Developing With Blazor - The most popular JavaScript client-side web frameworks have been Angular, React, Vue and others. In this course, we keep it .NET by using Blazor, which is Microsoft's response to that monopoly. Blazor allows you to create a Single Page Application, on top of .NET Core and continue coding in C# (without needing to flip between C# and JavaScript too much). Blazor apps are composed of reusable web UI components implemented using C#, HTML, and CSS. Both client and server code is written in C#, allowing you to share code and libraries. Blazor WebAssembly - Blazor can run your client-side C# code directly in the browser, using WebAssembly (WASM for short). Because it's real .NET running on WebAssembly, you can re-use code and libraries from server-side parts of your application. We will be exploring many intricacies of the Blazor life-cycle, data flow, JavaScript Interoperability and general development activities and nuances. Deploy To Microsoft Azure Cloud - Azure Web App Service is key to deploying the API and Blazor Server Applications. We will also enlist the use of Azure SQL for Database to support our API. When you have finished this course, you will possess the skills and knowledge to build a web application using Blazor.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 137
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.74
    Keywords: HTML (Document markup language) ; Cascading style sheets ; Web sites Design ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: All new web developers must learn the basics of HTML and CSS, as they’re the languages used to build and style a website. This course shows you how to code in HTML and CSS from the ground up, from the absolute fundamentals to the advanced topics. Whether you are a beginner learning from scratch or an experienced coder looking to brush up on specific areas, you will find something new and useful in this course. You’ll begin by learning the components of HTML, including its lists, tables, URLs, hyperlinks, iframing, and many other important aspects of the language. As you understand the individual components, you’ll also learn how to put all of them together to create a structure for your website to style with CSS. Then, you’ll meet and work with the fundamentals of CSS, such as selectors, dimensions, box models, lists, texts, fonts, tables, and other essentials. With basic knowledge of both languages, you can confidently style the HTML structures you created earlier to make fully-fledged websites. With web developers making up to $140,000 annually, a course in HTML and CSS might be the most rewarding thing you'll do this year. After the course, we'll share tips on the next languages to learn in order to carve out a career in frontend website development.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 138
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: JavaScript (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This is the course to take if you have zero Java experience, little to no coding experience at all, and are serious about learning to code in Java. Java is one of the most popular programming languages. It is used for software development, mobile and web applications, cloud and big data projects, the internet of things, artificial intelligence, and much more! Knowing Java will give you a highly-desired skill, perfect for a long-term career with a great salary. We know there are countless Java courses out there. Many of them are packed with extra hours of content that aren't necessary for learning to code. With this beginners course, we stick to the most essential skills so you can learn Java quickly and efficiently. (If you are deciding between this Java for Beginners course and The Absolute Beginner’s Guide to Java, this is the more intensive and comprehensive series.). This video tutorial is streamlined but thorough. It starts with the basics of programming, then shows you how to set up a Java programming environment on your computer and how to begin a new project. Then it covers all the aspects of the Java language that you need to get started on your own coding projects. If your goal is to earn a Java Certificate, this course provides the foundational skills you need to progress to studying and passing the Java Certificate exam. Whether you want to start your programming career as a Java developer; add Java to your skill set to improve your hiring potential; or learn Java to develop your own applications, this is the language and the course for you.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 139
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (13 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: Node.js ; MongoDB ; Web applications ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Node.js is built for performance. It allows you to build complex and powerful applications quickly and easily using JavaScript code. Node.js allows you to use JavaScript for web applications and offers flexibility for a wide range of purposes. Node.js brings JavaScript to the server using Google’s V8 engine.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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  • 140
    Online Resource
    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: JavaScript (Computer program language) ; Web site development ; Web sites Design ; Internet programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This is the only course you need to learn how to code with jQuery. This course is designed to demonstrate and help you learn the core concepts of working with jQuery. It will help you develop web projects quicker! Web visitors expect interaction and dynamic content, jQuery helps deliver! See it in action and we guarantee you will want to apply it to your own code. It's really fun to use and simplifies many of the popular JavaScript functionalities.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023).504 Includes bibliographical references and index
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  • 141
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    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: About Architectural Katas: What could be better than practicing software architecture with your handpicked dream team of architects? Participants in Architectural Katas, moderated by Neal Ford and Mark Richards, work together in small groups of their choosing to solve a challenge an actual organization is facing. Everyone gets the chance to practice their craft with a real software architecture problem in a safe and social environment, and the finalists and winners earn well-deserved bragging rights (not to mention an intriguing line on their résumé). Plus a selected organization will have some of its gnarliest software architecture problems solved. Series schedule: Event 1: Kickoff - October 25, 2022 Meet the judges, hear all the details on how Architectural Katas works, learn more about the software architecture problem you'll be solving, and get the chance to ask Neal and Mark any questions you may have. New for Fall 2022! Discussion Forum with the Judges - October 28, 2022 Teams will be invited to a special one-hour discussion forum, where you'll have the opportunity to ask the judges questions as you prepare your architectural solution. Event 2: Semifinals and Architectural Presentation - November 18, 2022 Get a master class on presentation skills and learn how to successfully showcase software architecture plans to developers and stakeholders (and judges). You'll also find out the top teams that will submit their video presentations for the final event. Event 3: Finals - December 7, 2022 The top teams' videos are shown, judges provide feedback, attendees vote for their favorite, and judges announce the winner. New for Fall 2022! Discussion Forum with the Judges - December 9, 2022 Finalists will be invited to a special one-hour discussion forum, where you'll be able to receive additional feedback from the judges about your team's solution. What you'll learn and how you can apply it Identify and design architectural components Explore techniques to analyze and select the right architecture patterns Learn how to diagram and document an architectural solution Develop better communication skills to champion architecture decisions to developers and stakeholders This recording of a live event is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You're responsible for creating a software architecture for your company, and you want to practice with a real-world challenge. Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices, second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Take Microservice Fundamentals (live online training course with Sam Newman) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Software engineering ; Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation on modern software engineering with Neal Ford and pioneering software developer Dave Farley. You'll learn why the "wrong" engineering approach to software development is one that doesn't help you create better software faster. You'll also discover simple and pragmatic techniques that can help you determine whether your architecture supports your required business outcomes. Along the way, you'll dive into the characteristics of successful software engineering teams and discover how to use that knowledge to improve your own processes. This is a chance for you to hear Neal and Dave talk about architecture and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand what makes a successful engineering approach to software development See what's coming next with software architecture This recording of a live event is for you because... You want the chance to ask Neal Ford and Dave Farley your questions about software engineering and architecture. You're looking for ways to improve your architecture. Recommended follow-up: Read Modern Software Engineering (book) Read Fundamentals of Software Architecture (book) or listen to the audiobook Read Software Engineering at Google (book) or listen to the audiobook Read Software Architecture Metrics (book) Attend Software Architecture Superstream: Architecture Meets Data (live online event on November 30).
    Note: Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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    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
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Applied Hugging Face Learn to use Hugging Face to solve real-world problems 1.0 Introduction to Applied Hugging Face Course 1.1 Introduction to Hugging Face Hub: models, datasets, spaces and access tokens 1.2 Using GPU enabled Codespaces 1.3 Using Hugging Face CLI 1.4 Working with Datasets 1.5 Working with Models 2.0 Introduction to Transformers and Fine-tuning vs Supervized Learning (Transfer Learning) 2.1 Using Hugging Face with GitHub GPU-enabled Codespaces for Fine-tuning 3.0 Introduction to Hugging Face Spaces 3.1 Using Hugging Face Spaces 3.2 Deploying Hugging Face Spaces applications with GitHub Actions Topics Covered Include: Hugging Face Hugging Face Models Hugging Face Transformers Hugging Face Spaces Hugging Face Datasets GPU-enabled GitHub Codespaces OpenAI Whisper Hugging Face Tutorial 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 8, 2022)
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    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: 005.75/65
    Keywords: PostgreSQL ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Azure PostgreSQL Setup and deploy an Azure PostgreSQL database Learn how to setup a PostgreSQL database using the Azure cloud. From the different options you have to create a PostgreSQL database (flexible or single server) to connection strings and firewall settings. This video will walk you through all you need to know to setup the resources, understand the constraints, and then correctly connect from a remote workstation using psql . Learning Objectives In this video you will learn to: Use the Azure Portal to create a PostgreSQL database Select between single and flexible server options Understand the constraints to create a database Setup firewall settings for external access Use psql to connect from a remote workstation to PostgreSQL Use the default database to connect Resources Azure Fundamentals Certification Azure Fundamentals quick reference guide Azure remote compute for VSCode Automated Azure resource cleanup Learn Azure ML (AutoML) in One hour.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 146
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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., 21 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 for DevOps 2023: GitHub Codespaces CI/CD Microservice Pipeline Deployed to AWS App Runner and GCP Cloud Run Learning The Core Principles of Python for DevOps From Zero During Live Coding This video series covers live coding a step by step Python Microservice that serves out geopy requests that convert to wikipedia pages that get convereted to key phrases via a FastAPI microservice that is deployed to AWS App Runner and GCP Cloud Run. Lessons Covered Include: How to setup a GitHub Codespaces CI/CD Pipeline from Zero How to arrange Python libraries and test them How to containerize a Python Microservice How to setup continuous delivery using AWS Cloud9 and ECR How to integrate AWS Code Build to do a CI/CD Pipeline that deploys to AWS App Runner How to setup continuous delivery using GCP Cloud Shell and GCR Learning Objectives Learn Python for DevOps using live coding Learning to build solutions with Python and FastAPI and Containers. Learning the key syntax and features of the Python 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: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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    Online Resource
    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 794.8/1535
    Keywords: Computer games Juvenile literature Programming ; JavaScript (Computer program language) Juvenile literature ; Document Object Model (Web site development technology) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Modify the Document Object Model (DOM) with JavaScript to make your web pages come to life! The DOM is an object-oriented representation of the web page which can be modified with JavaScript to create interactive and dynamic web content. Create a dynamic and interactive game that detects element collision and adds to the score. Move your element to hit the other elements on the page, score, and see how new elements are created with a maximum number from the code. Learn basic JavaScript game structure that can be extended to build your own games and more.
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
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    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (13 hr., 23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/32
    Keywords: Linux ; Operating systems (Computers) ; Scripting languages (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: One of the biggest complaints I hear from students is that most of the courses they've taken in the past simply provide information without any context and without any idea of how to put that information to use! This course turns that old, frustrating, and outdated way of learning on its head. Have you tried to learn shell scripting on your own, but lack the structure you need to really improve your skills? Are you tired of picking up bits and pieces of information that you can't just seem to put together? Do you learn best by doing? If so, you're going to love this course. It's project-based, which means instead of learning bits and pieces of information, you'll write actual shell scripts that you can use in real-world situations. You get the chance to immediately put what you learn to use so that you fully understand and remember it.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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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: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Cloud computing ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Infonuagique ; Application software ; Development ; Cloud computing ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build a project from zero, test it with Github Actions. Next, build both Click and Fire Command-Line Tools. Finally containerize a Fast API Wikipedia Scraper and deploy to AWS App Runner. 00:00 Intro 03:00 Statements in Python using Colab 10:00 List and Dictionaries Python 21:00 Using Github Codespaces to build project 38:00 Setup Github Actions 44:00 Python Functions 1:03:00 Build Wikipedia bot 1:12:00 Build Click Command-Line Tool Interface Wikipedia Bot 1:38:15 Build Python Fire Command-Line Tool 1:42:21 Build FastAPI Wikipedia Bot 1:56:00 Containerize FastAPI Wikipedia Bot with Docker 2:07:08 Deploy AWS App Runner FastAPI Wikipedia Bot with Docker.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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  • 150
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Computer software Development ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build greedy algorithms, then convert them to microservices and finally containerized them and deploy to AWS with App Runner. 00:00 Intro 00:38 Github Code Repo of Traveling Salesman Problem 02:00 Overview of Cities in Problem 04:50 Launching Github Codespaces to work on problem 06:30 Cleaning up the code and fixing Makefile and Lint 09:30 Running simulations and minimizing the cost 14:00 Pinning version numbers in requirements.txt 16:00 Setup Github Actions 19:00 Fixing Python Black error 21:32 Create Github Actions Status Badge 25:00 Creating FastAPI Microservice 28:00 Building Greedy Coin Change Microservice 36:00 Deploying Python FastAPI Microservice to AWS with App Runner 46:00 Theory of logic to containerization 51:00 Building Containerized C# Service in AWS Cloud9 and App Runner 01:03:44 Testing via Curl in AWS CloudShell 01:06:00 Building Containerized FastAPI Service in AWS Cloud9 and App Runner 01:11:03 Pushing to Amazon ECR 01:14:00 Testing via FastAPI App Runner API with Swagger UI.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 151
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/3
    Keywords: Amazon Web Services (Firm) ; Virtual storage (Computer science) ; Cloud computing ; Ordinateurs ; Mémoires virtuelles ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use AWS Storage Solutions Correctly. Hi, my name is Noah gift, and today I'm going to talk about AWS storage systems. We're going to talk about the elastic box system where EBS, also S3, the object storage system, which has unlimited data storage, and also EFS, the elastic file system. And finally, offsite backup, and also archiving systems with glacier, we're also going to do some demos of those products. Let's go ahead and get started. This video shoes both theory and hands on demos. * EBS (Elastic Block Storage) * EFS (Elastic File System) * S3 (Object Storage) * Glacier (Archiving) 00:00 Intro 00:49 Storage Module Overview 03:00 What is EBS? 11:00 EBS Demos 30:00 What is S3? 38:00 S3 Demos 48:00 Boto3 S3 Demos 49:00 What is EFS? 51:47 What is AWS Glacier?.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 152
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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., 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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  • 153
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    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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  • 154
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    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Neal Ford and Java pro Brian Goetz, where they'll discuss Java's vibrancy and the future of the platform. They'll cover some of the latest updates to the Java language and platform and dig into some fascinating research on embedding abstractions and its impact on software architecture. They'll also spend a few minutes covering the trends in Java that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Explore some of the latest updates to Java See what's coming next with software architecture This recording of a live event is for you because... You want to learn about how to work better with Java. You're looking for ways to improve your architecture. Recommended follow-up: Read Java Concurrency in Practice (book) Read Building Microservices, second edition (book) Read Fundamentals of Software Architecture (book) or listen to the audiobook Read Software Architecture: The Hard Parts (book) Read 97 Things Every Java Programmer Should Know (book) Watch Brian Goetz, Stuart Marks, and Nicolai Parlog: Ask the Java Architects--Java 17 and Beyond (video).
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 155
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Windows Azure ; Cloud computing ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Deploy a containerized web app to Azure There are many services out there that allow you to deploy a container to the cloud. Although a straightforward operation, it is critical to understand how to create a robust automation deployment system. This course will create a Python Flask application from scratch, will containerize it, set the automation for it and then deploy it to Azure. This course lays out the foundations for creating more powerful containerized applications beyond the simple examples. You can add a Machine Learning model into the container and the end result would be the same: a robust deployment system that can get changes quickly onto Azure with any changes to the main branch. The continuous deployment system is a game changer as a skill set, making you a far more valuable engineer. In this video you will learn: Create a Python Flask application for containerization Use a Dockerfile to create the Flask container Use GitHub Actions to automatically deploy the container after a pull request or changes to the main branch Push your container to the GitHub container registry from the GitHub repository Create the web app on the Azure portal and connect it to GitHub Actions Host the containerized Python Flask application on Azure Debugging techniques for broken containers and other common errors like incorrect ports Useful Resources GitHub repository with sample code Free Azure Certification for Students Try Azure for Free AZ-900 Azure Fundamentals reference guide Azure SAMBA file share Azure Remote Compute for VSCode.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 156
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to build cloud pipelines with AWS Step Functions 00:00 Intro 01:00 Create AWS Lambda function in Python 04:00 Create return statement that returns JSON depending on type of event 05:49 Test the AWS Lambda function 08:00 Build a second AWS Lambda function that can parse first function 13:00 Create AWS Step Function that consumes both AWS Lambda functions for Pipeline.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 157
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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., 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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  • 158
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    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation on cloud native architecture with Neal Ford and Java Champion Pratik Patel. They'll discuss how developers can manage the complexity that cloud native architecture brings and how enterprise developers should think about and build systems for the cloud. Along the way, they'll touch on design and implementation patterns, explore the advantages and disadvantages of monoliths, microservices, and cloud functions, and more. Neal and Pratik will spend a few minutes covering the trends in cloud native that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand how to manage the complexity of cloud native architecture See what's coming next with software architecture This recording of a live event is for you because... You want the chance to ask Neal and Pratik your questions about architecting in the cloud. You're looking for ways to improve your architecture. Recommended follow-up: Read Design Patterns for Cloud Native Applications (book) Read Building Microservices, second edition (book) Read Monolith to Microservices (book) Read Fundamentals of Software Architecture (book) Read Software Architecture: The Hard Parts (book) Watch Introduction to Cloud Native Architecture Patterns (video) Attend Cloud Superstream: Cloud Security (live event on June 8).
    Note: Online resource; title from title details screen (O'Reilly, viewed June 6, 2022)
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  • 159
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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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  • 160
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    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: 005.26/2
    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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    [Shelter Island, New York] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/33
    Keywords: Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Java Fundamentals is a comprehensive video course introducing the core elements of Java programming. In over 14 hours of professionally produced video, along with ample opportunities to try out what you’re learning, you’ll master the essentials in a friendly, easy-to-understand way. You’ll not only dig into the syntax and structure of the Java language, but also build up good habits and practices as you work with the many hands-on examples. As you progress from section to section, you’ll incrementally build a fully functioning application by adding and refining features.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    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: 006.31
    Keywords: TensorFlow ; Deep learning (Machine learning) ; Application software Development ; Macintosh (Computer) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to setup Mac M1 with Tensorflow and Metal 00:00 Intro 01:17 Install Conda and tensorflow-metal 02:02 Run Juypter Notebook 02:10 Train a model using Tensorflow and M1 GPU 02:34 Verify GPU is saturated 03:25 Verify Activity Monitor shows GPU and CPU history for Python 3.9.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 6, 2022)
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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., 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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    Online Resource
    [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: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Windows PowerShell (Computer program language) ; Streaming video ; Internet videos ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to script EC2 by using PowerShell inside of AWS CloudShell. I use AWSPowerShell.NetCore to query how many availability zones are available in my AWS region. 00:00 Intro 00:42 AWS Console 01:16 Invoking PowerShell inside of AWS CloudShell 01:33 Checking out AWS PowerShell Gallery 02:00 Importing via Import-Module AWSPowerShell.NetCore 03:00 Query All AWS Availability Zones in Region 03:30 Filter and Count by using a PowerShell Object with .count.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    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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    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: 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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    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: 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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    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Architects are essentially the Rosetta Stone of an organization, providing translation services between the executive suite and the development floors. They also keep the institutional memory of an organization in tack. Join us for a special conversation with Neal Ford and software architect extraordinaire Nathaniel Schutta to discover why an architect's key job is to be a storyteller, then learn how to help make architecture a central part of your company's innovation strategy. This is a chance for you to learn about architecture and hear about Neal and Nate's own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand why the architect's primary role is storyteller See what's coming next with software architecture This recording of a live event is for you because... You want to learn about architecting in the cloud. You're looking for ways to improve your architecture. Recommended follow-up: Read Presentation Patterns (book) Read Thinking Architecturally (report) Read The Software Architect Elevator (book) Attend Software Architecture Superstream: Soft Skills Are the Hardest Part (live event on June 22) Attend Software Developer to Architect (live online training course) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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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: 005.3
    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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    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: 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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    [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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    [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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    [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: Microsoft Azure (Computing platform) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to master the Databricks platform for doing MLOps.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 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: 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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    [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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  • 176
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Neal Ford and solutions architect Sonya Natanzon, where they'll discuss the goal of an architect: making the invisible visible. You'll dive into the unique challenge that the complexities of healthcare pose for software architects and discover how to address them to create robust solutions and improve user experience in ways that are applicable not just to healthcare but across many industries that grapple with similar challenges. You'll learn some simple and pragmatic approaches to architectural metrics that can help your business achieve the desired outcomes in these complex domains. Neal and Sonya will talk about architecture and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand the unique challenges that healthcare poses for software architects and how to address them See what's coming next with software architecture This recording of a live event is for you because... You want to learn about architecture in healthcare and other challenging business domains. You're looking for ways to improve your architecture. Recommended follow-up: Read Software Architecture Metrics (book) Read Learning Domain-Driven Design (book) Read Fundamentals of Software Architecture (book) Read Software Architecture: The Hard Parts (book) Watch How Thoughtworks and Open GI Used 4 Key Metrics to Succeed with Their Digital Transformation (case study) Attend Software Architecture Superstream: Software Architecture Fundamentals (live online event on September 28).
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 177
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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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    [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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  • 179
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Web site development ; Python (Computer program language) ; Web site development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Testing for Beginners Over 1 hour of course material with practice code Quickly learn learn how to test in Python Learn the basics of Python testing in this course. From a brief overview of the standard library to using a more modern approach with Pytest, one of the most popular testing libraries in Python. By the end of this week, you should be comfortable working with existing tests, creating new tests, and debugging test failures. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learning Objectives In this course you will learn to: Understand the basics of testing and its importance Write and run tests with functions and classes Use Pytest for running and creating tests Apply different techniques for debugging including PDB and stopping on failure Use fixtures to simplify tests that make identical assertions Resources Python for beginners course Python Functions and Classes course Python Dictionaries course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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  • 180
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    [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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  • 181
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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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  • 182
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    [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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  • 183
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Heuristics, Metaheuristics, and Algorithms in Python Get deeper into the matrix by diving into advanced computer science weekly updated This video course will show iteratively how to build advanced algorithms. 1.0 Advanced Heuristics and Algorithms in Python greedy coin traveling salesman geopy Learning Objectives Create a heuristic algorithm using TSP, a traveling salesman problem Dive into greedy algorithms Learn about metaheuristics 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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  • 184
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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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  • 185
    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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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 38 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: 52 Weeks of Swift Learning Swift by Live Coding This video series live coding Apple's Swift language and iteratively learning the language. Lessons Covered Include: 1.0 52 Weeks of Swift Episode 1 getting setup 2.0 52 Weeks of Swift Episode 2 the basics 3.0 52 Weeks of Swift Episode 3 basic operators 4.0 52 Weeks of Swift Episode 4 strings characters 5.0 52 Weeks of Swift Episode 5 collection types 6.0 52 Weeks of Swift Episode 6 Functions 7.0 52 Weeks of Swift Episode 7 Closures 8.0 52 Weeks of Swift Episode 8 Enumerations 9.0 52 Weeks of Swift Structures and Classes 10.0 52 Weeks of Swift Episode 10 Properties 11.0 52 Weeks of Swift Episode 11 Methods 12.0 52 Weeks of Swift Episode 12 Subscripts 13.0 52 Weeks of Swift Episode 13 Inheritance 14.0 52 Weeks of Swift Episode 14 Deinitialization 15.0 52 Weeks of Swift Episode 14 Initialization 16.0 52 Weeks of Swift_ Episode 16 Error Handling 17.0 52 Weeks of Swift_ Episode 17 Concurrency 18.0 52 Weeks of Swift_ Episode 18 Type Casting 19.0 52 Weeks of Swift_ Episode 19 Nested Types 20.0 52 Weeks of Swift Generics 21.0 52 weeks of Swift EP21 Protocols 22.0 52 weeks of Swift OpaqueTypes Learning Objectives Learn Apple's Swift language 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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  • 187
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/2
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by circleci and vFunction Developers have no single--or clearly defined--path to becoming a software architect. But these sessions will give you a solid grasp of the fundamentals, preparing you to implement the strategies that will help your organization increase performance, reduce costs, manage complexity, build in resilience and scalability, and speed time to market. Whether you're a senior-level developer who wants to make the move to architect, an "accidental architect" who makes long-term decisions but lacks the title, or a practicing software architect who wants to hone your skills, these sessions provide the insight, advice, and essential knowledge you need to up your game. What you'll learn and how you can apply it Understand how architecture styles differ from patterns Discover why architecture is more important than the architect role Explore the opportunities and challenges of using machine learning in architecture Learn how to deal with imposter syndrome This recording of a live event is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn best practices and new techniques. You want to better understand how some of the newest trends in architecture will impact your role. Recommended follow-up: Listen to The Software Architect Elevator (audiobook) or read the book Read Fundamentals of Software Architecture (book) Explore Software Architecture Fundamentals (course) Take Software Architecture by Example (live online training course with Neal Ford and Mark Richards) Read Software Architecture Patterns, 2e (report).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: How is long-term planning possible when everything changes all the time--and how do you address the unfortunate fact that architectures often gradually degrade? Evolutionary architectures support the building of systems that allow architects and developers to make sweeping changes to the most important parts with confidence. Join us for a special conversation on evolutionary architectures with Neal Ford and Thoughtworks CTO Rebecca Parsons. They'll discuss how their ideas around evolutionary architectures have evolved since the publication of their 2017 book Building Evolutionary Architectures (cowritten with Patrick Kua). Learn practices that allow developers to build continual architectures, which evolve cleanly without the need for a crystal ball. This is a chance for you to learn about architecture and Neal and Rebecca's own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand what evolutionary architectures are and how to implement them See what's coming next with software architecture This live event is for you because... You want to learn more about building and maintaining evolutionary architectures. You're looking for ways to improve your architecture. Recommended follow-up: Read Building Evolutionary Architectures (book) Read Software Architecture Metrics (book) Read Fundamentals of Software Architecture (book) Read Software Architecture: The Hard Parts (book) Explore Evolutionary Architectures Fundamentals (course) Attend Software Architecture Superstream: Architecture Meets Data (live online event on November 30, 2022).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Architecture logicielle ; Software architecture ; 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: Microservices can greatly benefit your systems--but they bring along their own host of problems. If you're getting started with microservices, Sam Newman's Building Microservices offers a wealth of practical advice for building, managing, and scaling microservices architectures. Or you could just hear it from him directly. Join us for a special conversation on microservices with Neal Ford and Sam Newman. They'll discuss what changed between the first and second editions of Building Microservices, what next-generation microservices will look like, and the right way to build distributed systems. Then they'll dive into some patterns for building, organizing, observing, and operating microservices in the real world. Neal and Sam will spend a few minutes covering the trends in microservices that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Get practical advice on building, organizing, observing, and operating microservices See what's coming next with software architecture This recording of a live event is for you because... You want to learn about microservices-style architectures. You're looking for ways to improve your architecture. Recommended follow-up: Read Building Microservices, second edition (book) Read Monolith to Microservices (book) Read Fundamentals of Software Architecture (book) Read Software Architecture: The Hard Parts (book) Attend Software Architecture Superstream: Soft Skills Are the Hardest Part (live online event, June 22).
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 190
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    Online Resource
    [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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    Online Resource
    [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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  • 192
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    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Big data ; Software architecture ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation on data mesh with Neal Ford and data mesh creator Zhamak Dehghani. You'll learn how Zhamak's ideas around data mesh have evolved since she first presented the concept in 2018 and what has happened in the space since the publication of her book, Data Mesh: Delivering Data-Driven Value at Scale, in March of 2022. You'll also hear about some of the things that have made data mesh such a paradigm shift and discover ways to combat the potential for its misuse and abuse. This is a chance for you to hear about architecture and Neal and Zhamak's own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Explore the data mesh paradigm and get tips for building one yourself See what's coming next with software architecture This recording of a live event is for you because... You want to learn about building and maintaining a data mesh. You're looking for ways to improve your architecture. Recommended follow-up: Read Data Mesh (book) Read Software Architecture Metrics (book) Read Designing Data-Intensive Applications (book) Read Software Architecture: The Hard Parts (book) Attend Software Architecture Superstream: Architecture Meets Data (live event on November 30).
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 193
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    Online Resource
    [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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  • 194
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    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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  • 195
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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., 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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    Online Resource
    [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: 005.13/3
    Keywords: Python (Computer program language) ; Application software Development ; Python (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 to refactor a Python script into a library called by Python Click CLI. 00:00 Intro 00:19 Refactoring to a library 01:44 Installing click 02:23 Importing refactored library 02:36 Building click options 05:04 Formatting code with Python Black and Running Click 06:14 Building conditional logic to print colored output.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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    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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    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) ; 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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    Online Resource
    [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: 005.13/3
    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: Learn to build a Python Fire Command Line Interface (CLI) 00:00 Intro 00:27 Build Function to randomly generate fruit 01:45 Test out the function 02:31 Read Python Fire Documentation 03:00 Install Python Fire 03:40 Build Python Fire CLI 05:00 Invoke Python Fire Help Menu 05:22 Refactor Python Fire CLI 06:06 Test out the CLI with fruits.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 23 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: 52 Weeks of AWS-The Complete Series Master AWS with weekly episodes on all significant AWS certifications This video series covers all major AWS Certification exams, from the AWS Certified Developer Associate to the AWS Certified Solutions Architect. Lessons Include: 1.0-52-weeks-aws-introduction 2.0-52 Weeks AWS Episode 2-Getting Started with AWS 3.0-52 Weeks of AWS_ Episode 3_ AWS Cloud Practitioner Part 1 4.0-52 Weeks of AWS-Episode 4-Global-Infrastructure-AWS Cloud Practitioner Part 2 5.0-52 Weeks of AWS Episode 5_ Cloud Practitioner Part3 + Network and Content Delivery, Compute_Storag 6.0-52 Weeks of AWS Live Stream_ Episode 6-Final AWS CP Certification Walkthrough 7.0-52 Weeks of AWS-Episode 7_ Developing on AWS 8.0-Episode 8 52 weeks of AWS 9.0-52 weeks AWS episode 9 solutions architect-Beginning 10.0-52 Weeks AWS_ Episode 10-Compute 11.0-52 Weeks AWS_ Episode 11- Solutions Architect-Database 12.0-52 Weeks AWS_ Episode 12-Solutions Architect-Networking 13.0-52 Weeks AWS_ Episode 13-Solutions Architect-Connecting Networks 14.0-52 Weeks of AWS Episode 9_AWS Cookbook 16.0-Weeks AWS_ Episode 16-)Solutions Architect-Securing-Users 17.0-Weeks AWS_ Episode 17-Solutions Architect Continued-Elasticity 18.0-52 Weeks AWS_ Episode 18-Solutions Architect Continued-Automate Infra 19.0-52 Weeks AWS_ Episode 19-Solutions Architect Continued-Caching Content 20.0-52 Weeks AWS_ Episode 20-SA- Continued-Building Decoupled Architectures 21.0-52 Weeks AWS_ Episode 21-SA- Building Microservices 22.0-52 Weeks AWS_ Episode 22-SA-Planning for Disaster 23.0-52 Weeks AWS_ Episode 23-SA-Bridging to Certification 24.0-52 Weeks AWS_ Episode 24-AWS ML Certification-Welcome to ML foundations 25.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk2-Introduction to ML 26.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker-Part2 27.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker 28.0-52 Weeks AWS_ Episode 27-AWS ML Certification_ Continued 29.0-52 Weeks AWS_ Episode 28-AWS ML Certification Continued 30.0-52-weeks-aws-Episode-29-AWS-ML-Certification-Conclusions 29-AWS Certified Machine Learning Engineering-Conclusion Topics Covered Include: AWS MLOps AWS Certified Cloud Practitioner AWS Certified Solutions Architect AWS Certified Machine Learning AWS Certified Developer 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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