Here is short info about post: Introduction The SQL INSERT INTO ... RETURNING statement is a powerful feature that allows developers to retrieve values generated by an INSERT operation. This can be particularly useful in scenarios where you need to obtain auto-generated values or values manipulated by triggers during the insertion process. In this article, we will explore practical scenarios where leveraging INSERT INTO ... RETURNING can enhance the efficiency and simplicity of your database operations. Understanding INSERT INTO … RETURNING Before delving into practical scenarios, ... Leveraging “INSERT INTO … RETURNING”: Practical Scenarios with Coding Examples

Here is short info about post: Introduction Time series data, characterized by its sequential nature and time-based intervals, is prevalent in various fields such as finance, IoT (Internet of Things), and monitoring systems. To efficiently manage and query time series data, specialized databases are crucial. In this article, we’ll explore the creation of a time series database using TDEngine and enhance its capabilities by integrating GraphQL for flexible and powerful querying. Introduction to TDEngine TDEngine, also known as TDE, is a high-performance time series database designed ... Creating a Time Series Database With TDEngine and GraphQL

Here is short info about post: Introduction In recent years, artificial intelligence (AI) has made significant strides in various fields, including image recognition. One fascinating application is the development of AI systems capable of detecting and identifying birds in images. In this article, we’ll guide you through the process of creating a bird detection AI, from the initial concept phase to the eventual product launch. Along the way, we’ll provide coding examples using popular tools and frameworks. Concept and Planning Define the Problem Statement The first ... Creating a Bird Detection AI: From Concept to Product Launch

Here is short info about post: Introduction In the fast-paced world of data-driven decision-making, businesses are increasingly relying on robust and efficient data engineering practices to extract actionable insights from massive datasets. Traditional approaches to data management often struggle to keep up with the ever-growing volume, variety, and velocity of data. This is where DataOps comes into play—a methodology that brings together data engineers, data scientists, and other stakeholders to streamline the entire data lifecycle. What is DataOps? DataOps, short for Data Operations, is a collaborative ... DataOps: Revolutionizing Data Engineering for the Future

Here is short info about post: Introduction In the realm of public health and epidemiology, understanding the dynamics of infectious disease spread is crucial for devising effective intervention strategies. Mathematical models play a pivotal role in simulating and predicting the progression of diseases within a population. In this article, we will delve into two widely used models for infectious disease spread: the SIR (Susceptible-Infectious-Recovered) model and the SEIR (Susceptible-Exposed-Infectious-Recovered) model. We’ll implement these models using Python and explore their applications in simulating and analyzing disease dynamics. ... Simulating Infectious Disease Spread with Python: SIR and SEIR Models

Here is short info about post: Introduction Flutter, Google’s UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase, has gained immense popularity among developers. Once you’ve developed your Flutter app, the next crucial step is to distribute it effectively. Firebase App Distribution simplifies this process by providing a reliable platform for distributing pre-release versions of your app to testers. In this article, we’ll explore how to publish Flutter apps to Firebase App Distribution, step by step, with code examples. ... Publishing Flutter Apps to Firebase App Distribution: A Step-by-Step Guide

Here is short info about post: Introduction In the ever-evolving landscape of web development, creating dynamic and responsive user interfaces is a constant challenge. React has emerged as a powerful library for building UI components, but when it comes to real-time data visualization, developers often find themselves grappling with complex state management. Enter Codux, a state management library designed specifically for React that seamlessly integrates with real-time data updates. In this article, we’ll explore the benefits of using Codux for real-time visualization in React, along with ... React UI Development: Real-Time Visualization with Codux

Here is short info about post: Introduction User authentication is a crucial aspect of web development, ensuring that only authorized users can access certain parts of your application. Flask-Login is a powerful extension for Flask, a popular Python web framework, that simplifies the implementation of user authentication. In this article, we’ll explore how to use Flask-Login to secure your Flask application with user authentication. Getting Started with Flask-Login Before diving into the implementation, make sure you have Flask installed. You can install it using: bash pip ... How to Perform User Authentication with Flask-Login

Here is short info about post: Introduction In the fast-paced world of software development, monitoring and troubleshooting your applications are crucial aspects of ensuring optimal performance and user satisfaction. When it comes to Python applications, having robust monitoring tools in place is essential. One such tool that stands out in the Python ecosystem is AppSignal. What is AppSignal? AppSignal is a comprehensive application performance monitoring (APM) solution designed to help developers track and understand the performance of their applications. With support for various programming languages, including ... Monitoring Your Python App with AppSignal: A Comprehensive Guide

Here is short info about post: Introduction Jenkins is an open-source automation server that facilitates the building, testing, and deployment of software projects. It is a popular tool in the DevOps landscape, allowing developers to automate repetitive tasks and streamline the continuous integration and continuous delivery (CI/CD) processes. In this article, we’ll guide you through the basics of Jenkins, from installation to creating your first pipeline, with coding examples to help you get started. Installation and Setup Step 1: Install Jenkins To begin, you need to ... Getting Started With Jenkins: Automating Your Development Workflow

Here is short info about post: Introduction In the ever-evolving landscape of modern medicine, the utilization of big data has emerged as a powerful tool for research, diagnosis, and treatment. The vast amount of healthcare data generated daily holds immense potential to revolutionize patient care and outcomes. However, with this potential comes a critical responsibility to address privacy concerns and ensure the ethical use of sensitive information. This article explores the intersection of big data and privacy in modern medicine, and provides coding examples to showcase ... Navigating Big Data’s Potential and Privacy in Modern Medicine

Here is short info about post: Introduction The Test Pyramid has long been considered a guiding principle in software testing, advocating for a balanced distribution of tests across various levels. The concept, popularized by Mike Cohn, suggests a pyramid shape where a majority of tests are unit tests at the base, followed by a smaller number of integration tests, and an even smaller number of end-to-end tests at the top. However, as software development practices evolve, it becomes imperative to question whether any rigid version of ... Debunking the Test Pyramid: A Critical Examination