Using environments

Using environments for deployment - GitHub Docs

Using an environment in a workflow. You can specify an environment for each job in your workflow. To do so, add a jobs..environment key followed by the ...

Managing environments for deployment - GitHub Docs

For access to environments, environment secrets, and deployment branches in private or internal repositories, you must use GitHub Pro, GitHub Team, or GitHub ...

Managing environments — conda 24.9.3.dev45 documentation

With conda, you can create, export, list, remove, and update environments that have different versions of Python and/or packages installed in them.

Group sets of variables in Postman using environments

An environment is a set of one or more variables that you can reference when sending requests, writing pre-request scripts, or writing post-response scripts.

Python Virtual Environments: A Primer

In this tutorial, you'll learn how to use a Python virtual environment to manage your Python projects. You'll also gain a deep understanding ...

Using Python Environments in Visual Studio Code

An "environment" in Python is the context in which a Python program runs that consists of an interpreter and any number of installed packages.

Environments - GitLab Documentation

Define a job in the deploy stage. In the job, define the following environment attributes: name : Use a related CI/CD variable like $CI_COMMIT_REF_SLUG .

Create and target environments - Azure Pipelines | Microsoft Learn

You can use a deployment job to target an entire environment group of resources, as shown in the following example YAML snippet. The pipeline ...

Environments - Codecademy

An environment, in the context of creating and deploying software, is the subset of infrastructure resources used to execute a program under specific ...

7 Environments | Advanced R - Hadley Wickham

The environment is the data structure that powers scoping. This chapter dives deep into environments, describing their structure in depth, and using them to ...

venv — Creation of virtual environments — Python 3.13.0 ...

The venv module supports creating lightweight “virtual environments”, each with their own independent set of Python packages installed in their site ...

Working with environments — Anaconda documentation

AEN runs on conda, a package management system and environment management system for installing multiple versions of software packages and their dependencies.

Use Environments on Apple Vision Pro

Environments let you transform your physical surroundings into a different place—like Yosemite, Mount Hood, or the Moon. You can use Environments while you're ...

GitHub Actions - Getting Started With Environments - YouTube

In GitHub Actions, you can configure environments (such as DEV, STAGING, PROD) with protection rules and secrets.

It's time to deprecate the .env file - Medium

... environment variables for a monolithic application deployed on Vercel with two environments in the development cycle: development and production ...

Administer environments and Power Automate resources

Learn all about environments in the Microsoft Power Platform admin guide. Tools. There are a number of tools available for administering ...

Managing environments — Anaconda documentation

Select a version for your Python or R installation. Click Create. Using an environment#. In the environments list, select the environment name to activate ...

Using environments | uv - Astral Docs

A virtual environment is a lightweight way to isolate packages from a Python installation's environment. Unlike pip, uv requires using a virtual environment by ...

Environments — conda 24.9.3.dev45 documentation

Users can create virtual environments using one of several tools such as Pipenv or Poetry, or a conda virtual environment. Pipenv and Poetry are based ...

Environments - Tag Manager Help

The environments feature in Google Tag Manager is ideal for organizations that want to preview their container changes in a test environment before those ...