copy and paste this google map to your website or blog!
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Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
Prefect Orchestrate workflows with Prefect and serve context with FastMCP Open-source Production-ready
Introducing Prefect 3. 0 Providing new ways to help data teams write resilient code, automate with flexibility, and run on efficiently provisioned resources with Prefect 3 0
Open Source Pipeline Creation with Prefect Cloud | Prefect Prefect Cloud integrates with your OSS Prefect Core implementation to offer enterprise-grade orchestration, complete visibility, and centralized control—giving you everything you need to run mission-critical data operations with confidence
Quickstart - Prefect Prefect is a workflow orchestration tool that helps you build, deploy, run, and monitor data pipelines It makes complex workflows reliable by tracking dependencies and handling failures gracefully
Prefect vs Airflow - Modern Workflow Orchestration Learn why engineering teams are choosing Prefect over Airflow 60-70% cost savings, Python-first simplicity, and hybrid architecture that keeps your data in your infrastructure
About Prefect - Company Mission Defining automation for the context era We build intelligent infrastructure that powers 100K+ mission critical workflows every minute for teams worldwide
Install Prefect - Prefect You can install and run Prefect via Windows PowerShell, the Windows Command Prompt, or conda After installation, you may need to manually add the Python local packages Scripts folder to your Path environment variable
How to write and run a workflow - Prefect from prefect import task @task(name="hello-task", description="This task says hello ") def my_task(): print("Hello, I'm a task")
How to run flows in local processes - Prefect Whether you use Prefect Cloud or self-host Prefect server, you can run workflows in the environments best suited to their execution This model enables efficient use of your infrastructure resources while maintaining the privacy of your code and data