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3 things to consider migrating WordPress database from local to production

3 things to consider migrating WordPress database from local to production

Migrating a database from local environment to production server can feel overwhelming, but with the right approach, it doesn’t have to be. In this guide, I'll walk through the key points you need to consider ensuring a smooth migration process. Key Considerations for Database Migration 1. Scheme (Protocol)Example: http or https 2. Domain NameLocal examples: localhost, localhost/wordpress, wordpress.testProduction example: acme.com 3. URLs in the WordPress Database 1. Scheme (Protocol) This is fairly simple. When developing locally, we often start with http, but as the project progresses or when we prepare for production, we might switch to https. The key is…
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[Azure AI + .NET] Unveiling the Power of AI: Analyze Images with Azure AI Image Analysis (Cognitive Service) and .NET 8

[Azure AI + .NET] Unveiling the Power of AI: Analyze Images with Azure AI Image Analysis (Cognitive Service) and .NET 8

Hello, I’m Duc Nguyen (Duke) Are you prepared to explore the exciting field of picture analysis driven by AI? There’s nowhere else to look! This post will examine a state-of-the-art GitHub repository that uses .NET 8 with Azure AI Image Analysis (Cognitive Services) to accurately describe image contents. What’s Inside? This repository here is a game-changer for developers looking to integrate powerful image analysis into their .NET applications Why Is It Important for You to Care? - Boost Your AI Skills: This project provides insightful information on real-world applications of AI, suitable for both novice and experienced developers.- Improve Your…
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The Home Server Journey – 4: Enter The Matrix

The Home Server Journey – 4: Enter The Matrix

Hello Time to forget about simple demo containers and struggle [not so much] with the configuration details of fully-featured applications. Today we not only put Kubernetes to production-level usage, but find out about some strengths and weaknesses of distributed computing Notes on storage Code nowadays, more than ever, works consuming and producing huge amounts of data, that usually has (or "have", since "data" is plural for "datum"?) to be kept for later. It's no surprise then that the capacity to store information is one of the most valuable commodities in IT, always at risk of being depleted due to poor…
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PhD thesis topic outline: The Application of Artificial Intelligence in Healthcare: Opportunities and Challenges

PhD thesis topic outline: The Application of Artificial Intelligence in Healthcare: Opportunities and Challenges

Title: The Application of Artificial Intelligence in Healthcare: Opportunities and Challenges Abstract In this thesis, I explore the transformative role of artificial intelligence (AI) in healthcare, focusing on its applications, benefits, and the challenges faced in implementation. I analyze specific case studies that illustrate how AI enhances diagnostics, How Ai enhanced patient management, and treatment planning. Additionally, I address ethical considerations and potential barriers to adoption, aiming to provide a comprehensive understanding of AI’s impact on the healthcare landscape. Introduction The integration of artificial intelligence into healthcare is reshaping how medical professionals diagnose, treat, and manage patient care. As I…
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

“BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” is a groundbreaking paper by Jacob Devlin et al. that introduces BERT (Bidirectional Encoder Representations from Transformers), a model designed to improve natural language processing (NLP) tasks. Key Points: Bidirectional Context: Unlike previous models that read text sequentially (left-to-right or right-to-left), BERT processes text in both directions simultaneously, allowing it to understand context more effectively. Transformer Architecture: BERT is built on the Transformer architecture, which relies on self-attention mechanisms to weigh the importance of different words in a sentence when making predictions. Pre-training and Fine-tuning: • Pre-training: BERT is first trained…
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Terraform module for S3 static website hosting

Terraform module for S3 static website hosting

module "s3_website_bucket" { source = "terraform-aws-modules/s3-bucket/aws" bucket = "test.dev.net" acl = "public-read" control_object_ownership = true object_ownership = "BucketOwnerPreferred" force_destroy = false block_public_acls = false block_public_policy = false ignore_public_acls = false restrict_public_buckets = false tags = var.tags[var.world] website = { index_document = "index.html" error_document = "error.html" } # Allow public read access attach_policy = true policy = jsonencode({ Version = "2012-10-17" Statement = [ { Sid = "PublicReadGetObject" Effect = "Allow" Principal = "*" Action = "s3:GetObject" Resource = "arn:aws:s3:::test.dev.net/*" }, ] }) } Enter fullscreen mode Exit fullscreen mode Source link lol
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Python

Python

essential topics for a Python syllabus: Introduction to Python• Installation, IDEs• Syntax, Variables, Data Types Control Flow• If, Elif, Else• Loops (For, While) Functions• Defining, Calling• Arguments, Return Values Data Structures• Lists, Tuples• Dictionaries, Sets Object-Oriented Programming (OOP)• Classes, Objects• Inheritance, Polymorphism, Encapsulation File Handling• Reading/Writing Files• With Statements, File Modes Modules and Packages• Importing Modules• Standard Libraries Exception Handling• Try, Except• Finally, Raise Comprehensions• List, Dictionary, Set• Generator Expressions Lambda & Higher-Order Functions• Lambda Functions• Map, Filter, Reduce Regular Expressions (Regex)• Pattern Matching• Search, Match, Sub Working with Databases• SQLite Integration• CRUD Operations Testing & Debugging• Unit Tests, Assert•…
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Master Git in 30 Minutes: Unlock Essential Terms and Commands for Efficient Collaboration

Master Git in 30 Minutes: Unlock Essential Terms and Commands for Efficient Collaboration

“Understanding the technical jargon used in software development is crucial before diving into advanced commands.” If you agree, then you're in the right place. Learning the Git workflow and its core concepts will significantly boost your productivity when managing your code with the Git version control system on a daily basis. Unlocking the Power of Git Git, like other Version Control Systems (VCSs), tracks different versions of the same data or file type. What sets Git apart from other VCSs is its distributed nature, also known as a Distributed Version Control System (DVCS), where every developer machine serves as both…
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Oracle APEX Tutorial: Master Database Development with Vinish.dev

Oracle APEX Tutorial: Master Database Development with Vinish.dev

Are you looking to enhance your database development skills? Introducing Vinish.dev, your premier destination for comprehensive Oracle APEX Tutorials. Whether you're a beginner eager to learn the basics or an experienced developer aiming to deepen your expertise, our platform offers everything you need to excel in Oracle APEX. Why Choose Our Oracle APEX Tutorial? Oracle Application Express (APEX) is a powerful tool for building scalable, secure enterprise applications with minimal coding. Navigating its features can be challenging, but our Oracle APEX Tutorial is designed to make learning straightforward and efficient. Key Features of Our Oracle APEX Tutorial Structured Learning Path:…
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Reconciling Conflicting Scaling Laws in Large Language Models

Reconciling Conflicting Scaling Laws in Large Language Models

This is a Plain English Papers summary of a research paper called Reconciling Conflicting Scaling Laws in Large Language Models. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview This paper reconciles two influential scaling laws in machine learning: the Kaplan scaling law and the Chinchilla scaling law. The Kaplan scaling law suggests that model performance scales as a power law with respect to model size and compute. The Chinchilla scaling law suggests that model performance scales more efficiently by tuning the compute and dataset size together. The paper aims to resolve…
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