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Mern projects for beginners : create Five social web apps using mongodb, express.Js, react, and node / / Nabendu Biswas
Mern projects for beginners : create Five social web apps using mongodb, express.Js, react, and node / / Nabendu Biswas
Autore Biswas Nabendu
Pubbl/distr/stampa California : , : Apress L. P., , [2021]
Descrizione fisica 1 online resource (293 pages)
Disciplina 006.78
Soggetto topico Computer programming
ISBN 1-4842-7138-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910502628603321
Biswas Nabendu  
California : , : Apress L. P., , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MicroPython for the Internet of Things : A Beginner's Guide to Programming with Python on Microcontrollers
MicroPython for the Internet of Things : A Beginner's Guide to Programming with Python on Microcontrollers
Autore Bell Charles
Edizione [2nd ed.]
Pubbl/distr/stampa Berkeley, CA : , : Apress L. P., , 2024
Descrizione fisica 1 online resource (578 pages)
Disciplina 005.133
ISBN 9781484298619
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: What Is the Internet of Things? -- The Internet of Things and You -- IoT Is More Than Just Connected to the Internet -- IoT Services -- A Brief Look at IoT Solutions -- Sensor Networks -- Medical Applications -- Automotive IoT Solutions -- Fleet Management -- IoT and Security -- Security Begins at Home -- Secure Your Devices -- Use Encryption -- Security Doesn't End at the Cloud -- Python and the IoT -- Origins -- Online MicroPython Simulator -- Summary -- Chapter 2: Introducing MicroPython -- Getting Started -- Origins -- MicroPython Features -- MicroPython Limitations -- What Does MicroPython Run On? -- Experimenting with Python on Your PC -- Installing Python 3 on Windows 11 -- Installing Python 3 on macOS -- Installing Python 3 on Linux -- Running the Python Console -- Running Python Programs with the Interpreter -- How MicroPython Works -- The Run-Evaluate-Print Loop (REPL Console) -- Connect the Board -- Starting the REPL Console (Windows) -- Starting the REPL Console (macOS and Linux) -- Off and Running with MicroPython -- Additional Hardware -- Basic Electronics Kit -- Breadboard and Jumper Wires -- Example 1: Blink an LED -- Example 2: Blink LEDs in Series -- Example 3: Using a Button -- Summary -- Chapter 3: MicroPython Hardware -- Getting Started with MicroPython Boards -- Firmware Updates -- Networking Issues -- One Step at a Time! -- Programming Tools -- Some Assembly Required -- GPIO Pins -- Other Tips -- Visit the Community Forums -- Handle with Care! -- Incorrect Switch Settings -- Loose or Missing Jumpers -- MicroPython RP2040 Boards -- Origins of the RP2040 -- Introducing the RP2040 -- Raspberry Pi Pico/Pico W -- Hardware Overview -- Getting Started -- Loading Firmware.
Place Board in USB Mass Media Mode -- Install Firmware in Thonny -- Reconnect/Reboot -- Your First MicroPython Script -- Where to Buy -- Arduino Nano RP2040 Connect -- Hardware Overview -- Getting Started -- Loading Firmware -- Downloading the Latest Firmware -- Place Board in USB Mass Media Mode -- Copy the File to the RPI-RP2 Drive -- Reconnect/Reboot -- Where to Buy -- Other RP2040 Boards -- Hardware Overview -- Getting Started -- Loading Firmware -- Where to Buy -- MicroPython-Compatible Boards -- BBC micro:bit -- Hardware Overview -- Getting Started -- Where to Buy -- Circuit Playground Express -- Hardware Overview -- Getting Started -- Where to Buy -- Breakout Boards and Add-Ons -- Breakout Boards -- Board-Specific Shields/Skins -- Board-Specific Accessories -- Breadboard for Raspberry Pi Pico/Pico W -- BBC micro:bit -- Which Board Should I Buy? -- Summary -- Chapter 4: How to Program in MicroPython -- Basic Concepts -- Code Blocks -- Comments -- Arithmetic -- Output to Screen -- Variables -- Types -- Basic Data Structures -- Lists -- Tuples -- Dictionaries -- Statements -- Conditional Statements -- Loops -- While Loop -- For Loop -- Range or Counting Loop -- Modularization: Modules, Functions, and Classes -- Including Modules -- Functions -- Classes and Objects -- Learning Python by Example -- Example 1: Using Loops -- Write the Code -- Execute the Code -- Your Challenge -- Example 2: Using Complex Data and Files -- Write the Code -- Execute the Code -- Your Challenge -- Example 3: Using Functions -- Write the Code -- Execute the Code -- Your Challenge -- Example 4: Using Classes -- Write the Code -- Execute the Code -- Your Challenge -- For More Information -- Summary -- Chapter 5: MicroPython Libraries -- Built-In and Standard Libraries -- Overview -- Common Standard Libraries -- sys -- io -- json -- os -- time.
Built-In Functions and Classes -- Exceptions -- MicroPython Libraries -- Overview -- Common MicroPython Libraries -- machine -- network -- Custom Libraries -- Summary -- Chapter 6: Low-Level Hardware Support -- RP2040-Specific Libraries -- The Flash Class -- PIO Classes -- Board-Specific Libraries -- Raspberry Pi Pico-Specific Libraries -- Arduino Nano RP2040 Connect-Specific Libraries -- Working with Low-Level Hardware -- Drivers and Libraries to the Rescue! -- Network Time Protocol (NTP) -- Callbacks -- Using Breakout Boards -- Inter-integrated Circuit (I2C) -- What Is I2C? -- Overview -- Required Components -- Set Up the Hardware -- Write the Code -- Execute -- Serial Peripheral Interface (SPI) -- Overview -- Required Components -- Set Up the Hardware -- Write the Code -- Execute -- Summary -- Chapter 7: Electronics for Beginners -- The Basics -- Tools -- Multimeter -- Soldering Iron -- Wire Strippers -- Helping Hands -- Using a Multimeter -- Testing Continuity -- Measuring Voltage -- Measuring Current -- Measuring Resistance -- Powering Your Electronics -- Electronic Components -- Button -- Capacitor -- Diode -- Fuse -- Light-Emitting Diode (LED) -- Relay -- Resistor -- Switch -- Transistor -- Voltage Regulator -- Breakout Boards and Circuits -- Using a Breadboard to Build Circuits -- What Are Sensors? -- How Sensors Measure -- Analog Sensors -- Digital Sensors -- Examples of Sensors -- Accelerometers -- Audio Sensors -- Barcode Readers -- Biometric Sensors -- Capacitive Sensors -- Coin Sensors -- Current Sensors -- Flex/Force Sensors -- Gas Sensors -- Light Sensors -- Liquid-Flow Sensors -- Liquid-Level Sensors -- Location Sensors -- Magnetic-Stripe Readers -- Magnetometers -- Moisture Sensors -- Proximity Sensors -- Radiation Sensors -- RFID Sensors -- Speed Sensors -- Switches and Pushbuttons -- Tilt Switches -- Touch Sensors -- Video Sensors.
Weather Sensors -- Summary -- Chapter 8: Project: Hello, World! MicroPython Style -- Getting Started with MicroPython Projects -- One Step at a Time! -- Some Assembly Required -- Handle with Care! -- Overview -- Required Components -- Set Up the Hardware -- Connections for the Raspberry Pi Pico -- Connections for the Arduino Nano RP2040 Connect -- Enabling the 5V Pin on the Arduino Nano RP2040 Connect -- Write the Code -- Design -- Libraries Needed -- Planning the Code -- Imports -- Setup -- Initialize -- New Helper Functions -- Core Code -- Test the Breakout Boards -- Test the RTC Breakout Board -- Test the OLED Breakout Board -- Execute -- Taking It Further -- Summary -- Chapter 9: Project: Pedestrian Crossing -- Overview -- Required Components -- Set Up the Hardware -- Connections for the Raspberry Pi Pico -- Connections for the Arduino Nano RP2040 Connect -- Write the Code -- Imports -- Setup -- Functions -- Execute -- Taking It Further -- Summary -- Chapter 10: Project: Plant Monitoring -- Overview -- Required Components -- Set Up the Hardware -- Connections for the Raspberry Pi Pico -- Connections for the Arduino Nano RP2040 Connect -- Write the Code -- Calibrating the Sensor -- Part 1: Sensor Code Module -- High-Level Design -- Setup and Initialization -- Constructor -- Public Functions -- Private Functions -- Complete Code -- Part 2: Read Timer Code -- Part 3: Main Code -- HTML Code (Files) -- Imports -- The Main() Function -- Complete Code -- Execute! -- Taking It Further -- Summary -- Chapter 11: Project: Using Weather Sensors -- Overview -- Required Components -- Set Up the Hardware -- Connections for the Raspberry Pi Pico -- Connections for the Arduino Nano RP2040 Connect -- Write the Code -- Testing the BME280 Module -- Part 1: Sensor Code Module -- High-Level Design -- Setup and Initialization -- Constructor -- Public Functions.
Private Functions -- Complete Code -- Part 2: Read Timer Code -- Part 3: Main Code -- HTML Code (Files) -- Imports -- The Main() Function -- Threading Code -- Complete Code -- Execute! -- Taking It Further -- Summary -- Chapter 12: Cloud Computing -- Overview -- What Is the Cloud? -- What Is Cloud Computing Then? -- How Does the Cloud Help IoT? -- IoT Cloud Systems -- IoT Cloud Services Available -- Data Storage -- Data Transformation (Queries) -- Visualization Tools -- Routing and Messaging -- What Can Cloud Services Do for Our IoT Projects? -- Getting Started with Cloud Computing -- Message Queue Telemetry Transport -- Arduino IoT Cloud -- ThingSpeak -- Summary -- Chapter 13: Arduino IoT Cloud -- Overview -- Getting Started with Arduino IoT Cloud -- Create Your Arduino Account -- Create a New Device -- Using Arduino IoT Cloud with MicroPython -- Create a New Thing -- Create a Dashboard -- Install the Arduino IoT Cloud Library -- Notes on Using the Pico -- Notes on Using the Nano RP2040 Connect -- Write the Code -- Execute! -- Project: IoT Pedestrian Crossing -- Required Components -- Set Up the Hardware -- Connections for the Raspberry Pi Pico -- Connections for the Arduino Nano RP2040 Connect -- Set Up Arduino IoT Cloud -- Create a New Thing -- Create a New Dashboard -- Write the Code -- StoplightIoT Class -- Main Code -- Execute! -- Taking It Further -- Summary -- Chapter 14: MQTT with Adafruit IO -- Overview -- Clients -- Brokers -- Getting Started with Adafruit IO -- Create Account on Adafruit IO -- Configure Adafruit IO -- Set Up Feeds -- Get Your Credentials -- Project: IoT Weather -- Required Components -- Set Up the Hardware -- Connections for the Raspberry Pi Pico -- Connections for the Arduino Nano RP2040 Connect -- Write the Code -- Installing the MQTT Library for MicroPython -- Secrets File -- Weather Sensor Class -- Main Code.
Execute!.
Record Nr. UNINA-9910842280903321
Bell Charles  
Berkeley, CA : , : Apress L. P., , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microsoft Azure for Java developers : deploying Java applications through Azure WebApp, Azure Kubernetes service, Azure functions, and Azure Spring Cloud / / Abhishek Mishra
Microsoft Azure for Java developers : deploying Java applications through Azure WebApp, Azure Kubernetes service, Azure functions, and Azure Spring Cloud / / Abhishek Mishra
Autore Mishra Abhishek
Pubbl/distr/stampa Berkeley, California : , : Apress L. P., , [2022]
Descrizione fisica 1 online resource (0 pages)
Disciplina 943.005
Soggetto topico Database management
Information retrieval
ISBN 1-4842-8251-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. Building -- and Deploying -- Java Applications -- to Azure -- 1. Getting -- Started with Java -- Development for -- Azure -- 2. Java for Azure -- WebApp -- 3. Java-based -- Azure Functions -- 4. Containerizing -- Java Applications -- with Azure -- Kubernetes -- Service -- 5. Running Java -- Applications on -- Azure Spring -- Cloud -- Part II. -- Integrating Java -- Applications with -- Popular Azure -- Services -- 6. Integrating -- with an Azure -- Storage Account -- 7. Azure SQL -- from Java -- Applications -- 8. Work with -- Azure Cosmos -- DB -- 9. Storing -- Runtime Data in -- Azure Redis -- Cache -- 10. Sending -- Emails using -- Graph API -- 11. Debugging -- and Monitoring -- using Azure -- Monitor -- 12. -- Authentication -- and -- Authorization -- with Azure Active -- Directory -- Part III. DevOps -- and Best -- Practices -- 13. Provisioning -- Resources with -- Azure DevOps -- and Azure CLI -- 14. Building and -- Deploying using -- Azure DevOps -- 15. A Near- -- Production -- Azure-based Java -- Application.
Record Nr. UNINA-9910590053803321
Mishra Abhishek  
Berkeley, California : , : Apress L. P., , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microsoft Blazor : Building Web Applications in . NET 6 and Beyond
Microsoft Blazor : Building Web Applications in . NET 6 and Beyond
Autore Himschoot Peter
Edizione [3rd ed.]
Pubbl/distr/stampa Berkeley, CA : , : Apress L. P., , 2021
Descrizione fisica 1 online resource (657 pages)
Soggetto genere / forma Electronic books.
ISBN 9781484278451
9781484278444
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910512169603321
Himschoot Peter  
Berkeley, CA : , : Apress L. P., , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microsoft conversational ai platform for developers : end-to-end chatbot development from planning to deployment / / Stephan Bisser
Microsoft conversational ai platform for developers : end-to-end chatbot development from planning to deployment / / Stephan Bisser
Autore Bisser Stephan
Edizione [1st ed. 2021.]
Pubbl/distr/stampa New York, New York : , : Apress L. P., , [2021]
Descrizione fisica 1 online resource (XV, 282 p. 183 illus.)
Disciplina 006.35
Soggetto topico Natural language processing (Computer science)
Artificial intelligence
Application software - Development
ISBN 1-4842-6837-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Microsoft Conversational AI Platform -- Chapter 2: Introduction to the Microsoft Bot Framework -- Chapter 3: Introduction to Azure Cognitive Services -- Chapter 4: Design Principles of a Chatbot -- Chapter 5: Building a Chatbot -- Chapter 6: Testing a Chatbot -- Chapter 7: Publishing a Chatbot -- Chapter 8: Connecting a Chatbot with Channels.
Record Nr. UNINA-9910483611903321
Bisser Stephan  
New York, New York : , : Apress L. P., , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microsoft excel functions quick reference : for high-quality data analysis, dashboards, and more / / Mandeep Mehta
Microsoft excel functions quick reference : for high-quality data analysis, dashboards, and more / / Mandeep Mehta
Autore Mehta Mandeep
Edizione [1st ed. 2021.]
Pubbl/distr/stampa New York, New York : , : Apress L. P., , [2021]
Descrizione fisica 1 online resource (XXIX, 255 p. 127 illus.)
Disciplina 005.54
ISBN 1-4842-6613-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: What is an Excel function? -- Chapter 2: TEXT functions -- Chapter 3: DATE functions -- Chapter 4: TIME functions -- Chapter 5: Named Ranges and Excel Tables -- Chapter 6: LOOKUP & functions -- Chapter 7: AGGREGATE functions -- Chapter 8: LOGICAL functions -- Chapter 9: Maths functions -- Chapter 10: INFORMATION functions -- Chapter 11: Finance functions -- Chapter 12: Error Handling -- Chapter 13: Megaformulas -- Chapter 14: Array formula. Appendix A: Formula ready reckoner.
Record Nr. UNINA-9910484214003321
Mehta Mandeep  
New York, New York : , : Apress L. P., , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MLOps with Ray : Best Practices and Strategies for Adopting Machine Learning Operations
MLOps with Ray : Best Practices and Strategies for Adopting Machine Learning Operations
Autore Luu Hien
Edizione [1st ed.]
Pubbl/distr/stampa Berkeley, CA : , : Apress L. P., , 2024
Descrizione fisica 1 online resource (342 pages)
Altri autori (Persone) PumperlaMax
ZhangZhe
ISBN 9798868803765
9798868803758
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Chapter 1: Introduction to MLOps -- MLOps Overview -- ML Projects -- ML Project Inputs and Artifacts -- MLOps: The Missing Element -- Operationalize ML Project Challenges -- Applying Machine Learning -- Garbage In, Garbage Out -- In the Beginning -- Team Sport -- Summary of Challenges -- Automation -- Reproducibility -- Monitoring -- MLOps: The Promise -- Paradigm -- Engineering Discipline -- Data Engineering -- Machine Learning -- DevOps -- Principles -- Automation -- Versioning -- Experiment Tracking -- Reproducibility -- Testing -- Data-Related Testing -- Model-Related Testing -- Continuous ML Training, Evaluation, and Deployment -- Continuous Monitoring -- MLOps Canonical Stack -- MLOps Blueprint -- MLOps Components -- Feature Engineering -- Feature Store -- Notebook Service -- Model Training -- Abstraction -- Compute Resource -- Continuous Training -- Consistency and Reproducibility -- Experimentation -- Model Store -- Managing ML Models and Lifecycle -- Model Traceability and Reproducibility -- Model Deployment -- Model Serving -- Prediction Store -- ML Observability -- Monitoring -- Observability -- Explainability -- MLOps Pillars -- Feature Engineering -- Model Training and Management -- Model Serving -- ML Observability -- Summary -- Chapter 2: MLOps Adoption Strategies and Case Studies -- Adoption Strategies -- Goals Alignment -- MLOps Need Assessment -- Use Cases -- Fraud Detection -- Churn Prediction -- Loan Approval and Credit Scoring -- Technology -- People -- Culture -- Risk Tolerance -- Execution Velocity -- Decision-Making Process -- Collaboration Style -- Maturity Level -- MLOps Infrastructure Approaches -- Build -- Buy -- Hybrid -- MLOps Landscape -- Platforms and Tools -- Case Studies -- Uber Michelangelo -- Key Takeaways and Lessons Learned.
Meta FBLearner -- Key Takeaways and Lessons Learned -- Summary -- Chapter 3: Feature Engineering Infrastructure -- Overview -- Benefits -- High-Level Architecture -- Feature Specification and Definition -- Feature Metadata -- Feature Metadata Format -- YAML-Based Feature Specification and Definition Examples -- Python-Based Feature Specification and Definition Examples -- Feature Registry -- Feature Orchestration -- Key Considerations -- Feature Store -- Offline Feature Store -- Key Considerations -- Online Feature Store -- Key Considerations -- Feature Upload -- Key Considerations -- Feature Serving -- Monitoring -- Build vs. Buy -- Important Factors -- Build -- Buy -- Organizational Challenges -- Data Availability -- Data Governance -- Case Studies -- Open Source -- Overview -- Concepts -- Architecture -- Assessments -- Strengths -- Opportunities -- In-House -- Overview -- Producer -- Consumer -- Concepts -- Architecture -- Assessment -- Strengths -- Opportunities -- Vendor Solutions -- Overview -- Concepts -- Architecture -- Assessment -- Strengths -- Opportunities -- Summary -- Chapter 4: Model Training Infrastructure -- Overview -- High-Level Architecture -- Model Development Environment -- Data Access -- Compute Resource Access -- Model Development Experience -- Reproducibility -- Experiment Tracking -- High-Level Architecture -- Model Training Pipelines -- Orchestration -- Orchestration Programming Style -- Continuous Model Training -- Model Training at Scale -- Distributed Model Training -- Model Registry -- High-Level Architecture -- Case Studies -- In-House -- Open Source -- MLflow Overview -- MLflow Feature Set -- MLflow Tracking -- MLflow Model Registry -- MLflow High-Level Architecture -- Summary -- Chapter 5: Model Serving Infrastructure -- Overview -- High-Level Architecture -- Feature Store -- Model Registry -- Metric Service.
Logging Service -- Inference Service -- Service Endpoint -- Inference Request Batching -- Model Loading and Unloading -- Feature Fetching -- Model Prediction -- Prediction Logging -- Prediction Service -- Machine Learning Framework -- Cost-Effectiveness -- Prediction Pre-processing and Post-processing -- Prediction Step Design Choice -- Embedded Prediction Step -- Remote Prediction Step -- Offline Inference -- Case Studies -- In-House -- LyftLearn Serving -- Reddit's Model Serving Architecture Evolution -- Open Source -- BentoML -- Seldon Core -- Ray Serve -- Python-Native Model Serving Application -- Flexible Scaling and Resource Allocation -- Multi-model Inference -- Summary -- Chapter 6: ML Observability Infrastructure -- Overview -- Model Performance -- Drift -- Data Quality -- Explainability -- High-Level Architecture -- Observability Store -- Feature Engineering -- Model Training -- Model Prediction -- Observability Store Implementation -- Case Studies -- Lyft: Model Monitoring -- Phase One -- Phase Two -- Cultural Shift for Adoption -- Open Source -- Great Expectations -- whylogs -- Evidently -- Summary -- Chapter 7: Ray Core -- Ray Core in a Nutshell -- Basic Concepts -- API Basics -- Architecture Basics -- Scheduling -- Fault Tolerance -- KubeRay -- Summary -- References -- Chapter 8: An Introduction to the Ray AI Libraries -- Overview -- What Are Ray's AI Libraries? -- Why and When to Use Ray for ML? -- AI Workloads to Run with Ray -- An Introduction to Ray's AI Libraries -- Datasets and Preprocessors -- Trainers -- Tuners and Checkpoints -- Running Batch Prediction -- Online Serving Deployments -- An Example of Training and Deploying Large Language Models with Ray -- Starting a Ray Cluster and Managing Dependencies -- Loading a Dataset and Preprocessing It -- Fine-Tuning a Language Model -- Training Runtime Considerations.
Generate Text from a Prompt -- Running Batch Inference for Our GPT-J Model -- Running Online Model Serving -- An Overview of Ray's Integrations -- How Ray Compares to Related Systems -- Distributed Python Frameworks -- Ray AI Libraries and the Broader ML Ecosystem -- How to Integrate Ray into Your ML Platform -- Summary -- Chapter 9: The Future of MLOps -- MLOps Landscape -- ML Development Lifecycle -- ML Infrastructure Architecture -- MLOps Maturity Model -- MLOps Solution Landscape -- AI/ML Landscape -- Generative AI -- Foundation Models -- Large Language Models (LLMs) -- AI Assistants -- Responsible AI -- Artificial General Intelligence (AGI) -- The Rise of LLMOps -- LLM Applications Archetypes -- Prompt Engineering Application Archetype -- Retrieval Augmented Generation (RAG) Application Archetype -- Fine-Tuning Application Archetype -- Model Training vs. LLM Fine-Tuning -- A Combined Application Archetype -- LLMOps Stack -- Summary -- Index.
Record Nr. UNINA-9910865243603321
Luu Hien  
Berkeley, CA : , : Apress L. P., , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems
Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems
Autore Ye Andre
Pubbl/distr/stampa Berkeley, CA : , : Apress L. P., , 2021
Descrizione fisica 1 online resource (463 pages)
Soggetto genere / forma Electronic books.
ISBN 9781484274132
9781484274125
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910510541903321
Ye Andre  
Berkeley, CA : , : Apress L. P., , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modern TypeScript : A Practical Guide to Accelerate Your Development Velocity
Modern TypeScript : A Practical Guide to Accelerate Your Development Velocity
Autore Beattie-Hood Ben
Edizione [1st ed.]
Pubbl/distr/stampa Berkeley, CA : , : Apress L. P., , 2023
Descrizione fisica 1 online resource (304 pages)
Disciplina 005.2762
Soggetto topico TypeScript (Computer program language)
ISBN 1-4842-9723-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Chapter 1: How TypeScript Came to Be -- Introduction -- History -- The Problem -- Scalable Velocity -- Testing Allows Scale -- Docs Allow Scale -- Types Provide Both Testing and Docs -- Summary -- Chapter 2: Getting Started with the Developer Experience -- Introduction -- Environment and IDE -- No-Frills TypeScript Setup -- Debugging TypeScript -- TypeScript Within a More Realistic Setup -- Honorable Mentions -- Summary -- Chapter 3: TypeScript Basics -- Introduction -- Structural Typing -- JavaScript Types Are Structural Contracts -- Adding Explicit Types to JavaScript -- Optionality -- All The Sugar -- Array and Object Destructuring, Spread, and Rest -- Async -- Generators -- Inferred Types -- Types, Automagically -- Type Widening and Narrowing -- Auto-narrowing, but Not Too Much -- Type Assertions -- Compile-Time Assertions -- as Keyword -- satisfies Keyword -- never Keyword -- Runtime Assertions -- typeof, instanceof, and in Operators -- Custom Assertions -- Existing Tools -- any and unknown Keywords -- Caution: Handle with Care -- Parameterized Values -- Index Signatures -- Function Signatures -- Constructor Signatures -- A New Mental Model -- Summary -- Chapter 4: Classes -- Introduction -- Classes -- Constructors -- Access Modifiers -- Fields -- Getters and Setters -- Methods -- Inheritance -- Implements -- Static Modifier -- Warning 1: Classes Are Not Types -- Warning 2: Classes Can Cause Scope Bleed -- Summary -- Chapter 5: Computed Types -- Introduction -- Type Aliases -- Using Type Aliases -- Union Types -- Intersection Types -- Generic Types -- Type Parameters -- const Modifier on Generic Parameters -- Generic Constraints -- Inferred Type Keywords -- typeof Type Inference Keyword -- keyof Type Inference Keyword.
Where's the valueof Type Inference Keyword? -- Utility Types -- Record< -- Keys, Type> -- -- Pick< -- Type, Keys> -- -- Omit< -- Type, Keys> -- -- Partial< -- Type> -- -- Required< -- Type> -- -- Readonly< -- Type> -- -- Exclude< -- Type, Keys> -- -- Extract< -- Type, Keys> -- -- Parameters< -- FunctionType> -- -- ConstructorParameters< -- ClassType> -- -- ReturnType< -- FunctionType> -- -- Conditional Types -- extends Keyword -- infer Keyword -- Extracting Inferred Types -- Distributive and Nondistributive Conditional Types -- Conditional Types via Property Accessors -- Mapped Types -- Changing the Type of Fields -- Adding and Removing Fields -- Renaming Fields -- Recursive Types -- Recursion Within an Object Type -- Recursion over a Tuple Type -- Template Literals -- Summary -- Chapter 6: Advanced Usage -- Introduction -- Expect and IsEqual -- Compute -- JsonOf -- Flatten -- UrlParameters -- UrlParameters with Optional Params -- Further Reading -- Summary -- Chapter 7: Performance -- Introduction -- Reducing Inline Types -- Reducing Inferred Types -- Inline Caching Using Conditional Types -- Reduce Intersections -- Reduce Union Types -- Partition Using Packages and Projects -- Partitioning Using Packages -- Partitioning Using Projects -- Other Performance Tweaks -- Debugging Performance Issues -- Using the @typescript/analyze-trace NPM Package -- Using a Trace Viewer Within Your Browser -- Summary -- Chapter 8: Build -- Introduction -- Compiler Options -- Recommended tsconfig.json Settings -- Targeting Modern Browsers -- Prevent Optional Errors -- Display Complete Errors -- Enable Widest Range of Safe Interoperability -- Project Structure and Build Output -- Other Options -- Linting -- Installing ESLint -- Ideal Ruleset -- Additional Strict Errors -- Additional Strict Warnings -- Removed Rules.
Further Rules -- JSX/TSX -- Modules -- Module Types Explained -- CommonJS (CJS) -- Asynchronous Module Definition (AMD) -- Universal Module Definition (UMD) -- SystemJS -- ESM -- Exports and Imports -- How TypeScript Resolves Modules -- Summary -- Chapter 9: Wrap Up -- Index.
Record Nr. UNINA-9910767570203321
Beattie-Hood Ben  
Berkeley, CA : , : Apress L. P., , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MySQL database service revealed : running MySQL as a service in the Oracle Cloud Infrastructure / / Charles Bell
MySQL database service revealed : running MySQL as a service in the Oracle Cloud Infrastructure / / Charles Bell
Autore Bell Charles
Edizione [[First edition].]
Pubbl/distr/stampa New York, New York : , : Apress L. P., , [2023]
Descrizione fisica 1 online resource (403 pages)
Disciplina 411
Soggetto topico SQL (Computer program language)
Database management
Cloud computing
ISBN 1-4842-8945-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Getting Started with MySQL in the Cloud -- Overview -- What Is Cloud Computing? -- Why Move to the Cloud? -- Improved Agility -- Automation -- What Is the Oracle Cloud Infrastructure? -- What Is the MySQL Database Service? -- MDS in OCI -- Region Availability -- Required Identity and Access Management Policy -- Data Security -- MDS and Audit Service -- MDS Versions and Storage Engines -- Shape -- DB System -- MySQL HeatWave -- Use Cases -- Limitations -- Cloud Services Cost Expectations -- Summary -- Chapter 2: Oracle Cloud Infrastructure -- A Brief Tour of Services -- Terminology -- Virtualization -- Tenancy -- Compartments -- Security Zone -- OCI Resource Allocation -- Virtual Cloud Network -- Oracle Cloud Identifier (OCID) -- Compute -- Virtual Machine -- Bare Metal Host -- Shapes -- Images -- Provisioning -- OCI User Interfaces -- Core Services -- Networking Services -- Compute Services -- Storage Services -- Block Volume -- Local NVMe -- File Storage -- Object Storage -- Identity and Access Management Services -- Setting Up Your Account -- Always Free Resources -- Service Usage and Limits -- OCI Tutorial -- Create a New Compartment -- Create the Virtual Cloud Network -- Create the Compute Instance -- Add Block Storage to the Compute Instance -- Terminate the Resources -- Summary -- Chapter 3: A Brief Tutorial of MySQL -- Getting Started -- Connecting with MySQL Shell -- Features -- Modes Supported -- Making Connections -- Using a URI -- Using Individual Options -- Using SSL Connections -- Connecting with the MySQL Client -- Basic SQL Commands -- How to Get and Install MySQL -- Configuring and Managing Access to MySQL -- Configuration Files -- Creating Users and Granting Access -- Basic SQL Commands.
Creating Databases and Tables -- Searching for Data -- Creating Data -- Updating Data -- Deleting Data -- Using Indexes -- Views -- Triggers -- Simple Joins -- Stored Routines -- Connecting Applications -- MySQL Database Connectors -- Sample Database -- Example Connector: Connector/Python -- Installing Connector/Python -- Checking the Installation -- Example 1: Connecting to MySQL -- Example 2: Inserting Data -- Example Connector: Connector/J -- Installing Connector/J -- Checking the Installation -- Example 1: Connecting to MySQL -- Example 2: Inserting Data -- Summary -- Chapter 4: MySQL Database Service -- Getting Started -- Step 1: Create a VCN -- Step 2: Create a Group -- Create a Group -- Create and Add a User to the Group -- Step 3: Create Policies -- A Tour of MDS -- Creating Your First DB System -- Open the DB Systems Resource Page -- Create a DB System -- DB System Details Page -- Status and Buttons -- Resource Menu -- Metrics -- Endpoints -- HeatWave -- Backups -- Channels -- Work Requests -- MySQL DB System Information and Tags -- DB System Information Tab -- Tags Tab -- Stopping and Starting the DB System -- Connecting to Your DB System -- Connection Mechanisms -- Connecting via a Compute Instance -- Create a Compute Instance -- Modify the VCN - Create an Ingress Rule for the Private Subnet -- Connect to the Compute Instance -- Connect to the DB System -- Connecting Using a Bastion Session -- Bastion Terminology -- Session Types -- Prerequisites -- Create a Bastion Service -- Create a SSH Key Pair -- Create a Port-Forwarding Session -- Connect from Your PC -- Summary -- Chapter 5: Backup and Restore -- What Can Go Wrong? -- Backup -- Types of Backups -- Manual Backup -- Automatic Backup -- Final Backup -- Operator Backup -- Backup Details -- Enable or Disable Automatic Backups -- Create a Manual Backup -- Edit a Backup -- Manage Tags.
Delete a Backup -- Move a Backup -- Restore -- Summary -- Chapter 6: Point-in-Time Recovery -- Overview -- Setup -- Recovery -- Summary -- Chapter 7: Data Import and Export -- Overview -- Migrating Data to MDS -- Data Transfer Strategies -- Compatibility Concerns -- Security -- Older MySQL Versions -- Migrating Data to MDS -- Using an ObjectStore Bucket -- Configure Your PC for OCI CLI Access -- Install and Test the OCI CLI -- Create the ObjectStore Bucket -- Export to an ObjectStore Bucket -- Configure the Compute Instance -- Create a Pre-Authenticated Request (PAR) -- Import from the ObjectStore Bucket into a DB System -- Using a Compute Instance -- Export Data Using MySQL Shell -- Copy the Exported Data to the Compute Instance -- Import the Data on the DB System -- Using a Bastion Gateway -- Setup the Bastion Service -- Export Data Using MySQL Shell -- Start the Bastion Service SSH Sessions -- Import the Data on the DB System -- Migrating Data from MDS -- Using an ObjectStore Bucket -- Prepare Your PC -- Create the ObjectStore Bucket -- Export to ObjectStore Bucket -- Import from ObjectStore Bucket into Local MySQL Server -- Using a Compute Instance -- Export Data Using MySQL Shell -- Copy the Exported Data to Your Local MySQL Server -- Import the Data on the DB System -- Using a Bastion Gateway -- Export Data Using MySQL Shell -- Import the Data on Your Local MySQL Server -- Summary -- Chapter 8: High Availability -- Overview -- High Availability in MDS -- How Does Failover and Switchover Work? -- What Are the Conditions for Failover? -- Prerequisites -- How to Find Tables Without Primary Keys -- How to Add Surrogate Primary Keys -- How to Set Up HA -- Setup HA (Create DB System) -- Enable HA (Existing DB System) -- Disable HA (Existing HA DB System) -- How to Use MDS HA -- Limitations -- Advanced Topics -- Summary.
Chapter 9: OCI Command-Line and Application Programming Interfaces -- Getting Started -- Command-Line Interface (CLI) -- Install the CLI -- Capabilities -- Example Uses -- List Backups for a DB System -- Stop/Start a DB System -- Create a DB System -- For More Information -- OCI APIs -- MDS API -- Example Uses -- Install the Python SDK -- Getting Started -- Listing the MySQL Shapes -- Stop/Start DB System -- Creating a DB System -- Delete a DB System -- Summary -- Chapter 10: Migrating to MDS -- Getting Help While Using OCI and MDS -- Communication with Oracle -- Documentation -- Troubleshooting -- Examine Your DB System Needs -- Shapes -- Data Storage -- Networking -- Planning Your DB Systems -- Security Best Practices -- Summary -- Index.
Record Nr. UNINA-9910634042103321
Bell Charles  
New York, New York : , : Apress L. P., , [2023]
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