what reimbursement means

Reimbursement refers to the act of paying someone back for money they have spent or costs they have incurred, typically on behalf of someone else or for work-related purposes. It ensures that the person who spent the money is not financially disadvantaged.

Common Examples of Reimbursement:

  1. Work Expenses:

    • If an employee pays for business-related travel, meals, or supplies, the employer may reimburse them for those costs.

  2. Healthcare Costs:

    • Insurance companies often reimburse policyholders for medical expenses if they pay upfront and file a claim.

  3. Damages or Mistakes:

    • If someone accidentally causes damage, they might reimburse the affected party for repair costs.

Usage:

  • "The company reimbursed me for my travel expenses."
  • "Please submit the receipt for reimbursement."

It typically involves submitting proof, like a receipt or invoice, to show the expense was valid.

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Using the MinIO API via curl

Using the MinIO API via curl is straightforward, as MinIO is compatible with Amazon S3 API, so most commands follow a similar syntax. Here’s a guide on how to use curl with the MinIO API for some common operations like uploading, downloading, and managing objects. Prerequisites Access Key and Secret Key : Obtain your MinIO Access Key and Secret Key. MinIO Endpoint : Know your MinIO server endpoint, e.g., http://localhost:9000 . Bucket : You may need an existing bucket name, or create a new one using the commands below. Authentication Header For requests to work with MinIO, you need to include authentication in the headers. MinIO uses AWS Signature Version 4 for signing requests. Common Examples 1. List Buckets To list all buckets in your MinIO account, use: curl -X GET \ - -url "http://localhost:9000/" \ - H "Authorization: AWS <AccessKey>:<Signature>" 2. Create a Bucket To create a new bucket, use: curl -X PUT \ - -url "htt...
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max_active_runs of Airflow

In Apache Airflow, if you want to ensure that a new run of a DAG doesn’t start before the previous one has completed, you can use the max_active_runs parameter in the DAG definition. Setting this parameter to 1 ensures that only one instance of the DAG is running at any given time. Setting max_active_runs for a DAG Here’s an example of how to set up a DAG with max_active_runs=1 : from airflow import DAG from airflow.operators.dummy_operator import DummyOperator from datetime import datetime # Define the DAG with DAG( 'my_dag' , description= 'A sample DAG' , schedule_interval= '@daily' , # Set your schedule start_date=datetime( 2023 , 1 , 1 ), catchup= False , max_active_runs= 1 # This prevents new runs before the previous run completes ) as dag: # Define tasks start = DummyOperator(task_id= 'start' ) end = DummyOperator(task_id= 'end' ) # Define task dependencies ...
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DEFAULT_KEY_SERDE_CLASS_CONFIG in Kafka

The DEFAULT_KEY_SERDE_CLASS_CONFIG is a configuration property in Apache Kafka Streams. It specifies the default serializer/deserializer (Serde) to be used for the keys of messages in your Kafka Streams application. What Is a Serde? A Serde is a combination of a serializer and a deserializer : Serializer : Converts objects into a byte array to send over Kafka. Deserializer : Converts the byte array back into an object. Kafka Streams requires Serdes to know how to handle data when reading from and writing to topics. Usage of DEFAULT_KEY_SERDE_CLASS_CONFIG This property allows you to specify the default Serde class for the key of messages processed by Kafka Streams. For example, if your keys are strings, you would set the default key Serde to Serdes.String() . Example Configuration in Java: Properties props = new Properties(); props . put (StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass()); props . put (StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CON...
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Install and run an FTP server using Docker

To install and run an FTP server using Docker, follow these steps. We’ll use the popular stilliard/pure-ftpd image, which is a lightweight and widely used FTP server. Step 1: Install Docker Make sure Docker is installed on your machine. If it isn’t, install it using the instructions below: Ubuntu/Debian: sudo apt update sudo apt install docker.io -y Mac: Install Docker Desktop from Docker's website . Windows: Install Docker Desktop from Docker's website . Verify Docker is installed: docker --version Step 2: Pull the FTP Server Docker Image Use the stilliard/pure-ftpd image, which is a simple and effective FTP server. docker pull stilliard/ pure -ftpd Step 3: Run the FTP Server Run the FTP server container using the following command: docker run -d --name ftp-server \ - p 21 : 21 -p 30000 - 30009 : 30000 - 30009 \ - e FTP_USER_NAME=testuser \ - e FTP_USER_PASS=testpass \ - e FTP_USER_HOME= /home/testuser \ stilliard/pure-ftpd Explanation...
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Getting start with Puppeteer

To develop a program that collects data from a Single Page Application (SPA) using Puppeteer, you'll need to install Puppeteer and set up a script that navigates the SPA, interacts with elements, and extracts the desired data. Puppeteer is a Node.js library that provides a high-level API to control Chrome or Chromium browsers. Follow the steps below to create your data collection program: Step 1: Set up Node.js and Puppeteer Make sure you have Node.js installed on your machine. If not, download and install it from the official website ( https://nodejs.org/ ). Create a new Node.js project by running the following commands in your terminal: mkdir spa_data_collector cd spa_data_collector npm init - y npm install puppeteer Step 2: Create the data collection script Create a new file in the project directory, e.g., dataCollector.js , and add the following code: const puppeteer = require ( 'puppeteer' ); ( async ( ) => { try { // Launch the browser const...
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[Ubuntu] Apache2.4.x 설치

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Python program to convert an .xlsx file to JSON using the openpyxl library

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Spring Boot with Kafka Streams

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