Wayback Machine
90 captures
12 Nov 2019 - 04 May 2025
Sep NOV Mar
Previous capture 19 Next capture
2022 2023 2024
success
fail
About this capture
COLLECTED BY
Organization: Archive Team
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: ArchiveBot: The Archive Team Crowdsourced Crawler
ArchiveBot is an IRC bot designed to automate the archival of smaller websites (e.g. up to a few hundred thousand URLs). You give it a URL to start at, and it grabs all content under that URL, records it in a WARC, and then uploads that WARC to ArchiveTeam servers for eventual injection into the Internet Archive (or other archive sites).

To use ArchiveBot, drop by #archivebot on EFNet. To interact with ArchiveBot, you issue commands by typing it into the channel. Note you will need channel operator permissions in order to issue archiving jobs. The dashboard shows the sites being downloaded currently.

There is a dashboard running for the archivebot process at http://www.archivebot.com.

ArchiveBot's source code can be found at https://github.com/ArchiveTeam/ArchiveBot.

TIMESTAMPS
loading
The Wayback Machine - https://web.archive.org/web/20231119003105/https://code.visualstudio.com/docs/python/python-on-azure
Skip to content  Visual Studio Code
  • Docs
  • Updates
  • Blog
  • API
  • Extensions
  • FAQ
  • Learn
  • Search
  • Search Search
  • Download VS Code Download VS Code Download

Version 1.84 is now available! Read about the new features and fixes from October.

Dismiss this update
'; document.body.appendChild(div.children[0]); } function pushCodingPackEvent(language, os) { let id = `${language}-${os}-coding-pack`; var analytics = window.vscodeAnalytics; analytics && analytics.event( 'click', 'download', id, ); }
  • Overview
  • Setup
    • Overview
    • Linux
    • macOS
    • Windows
    • Raspberry Pi
    • Network
    • Additional Components
    • Enterprise
    • Uninstall
  • Get Started
    • Intro Videos
    • Tips and Tricks
    • User Interface
    • Themes
    • Settings
    • Key Bindings
    • Display Language
    • Telemetry
  • User Guide
    • Basic Editing
    • Extension Marketplace
    • IntelliSense
    • Code Navigation
    • Refactoring
    • GitHub Copilot
    • Debugging
    • VS Code for the Web
    • Tasks
    • Profiles
    • Settings Sync
    • Snippets
    • Emmet
    • Command Line Interface
    • Workspace Trust
    • Multi-root Workspaces
    • Accessibility
    • Custom Layout
    • Port Forwarding
  • Source Control
    • Overview
    • Introduction to Git
    • Collaborate on GitHub
    • FAQ
  • Terminal
    • Terminal Basics
    • Terminal Profiles
    • Shell Integration
    • Appearance
    • Advanced
  • Languages
    • Overview
    • JavaScript
    • JSON
    • HTML
    • CSS, SCSS and Less
    • TypeScript
    • Markdown
    • PowerShell
    • C++
    • Java
    • PHP
    • Python
    • Julia
    • R
    • Ruby
    • Rust
    • Go
    • T-SQL
    • C#
    • .NET
    • Polyglot
  • Node.js / JavaScript
    • Working with JavaScript
    • Node.js Tutorial
    • Node.js Debugging
    • Deploy Node.js Apps
    • Browser Debugging
    • Angular Tutorial
    • React Tutorial
    • Vue Tutorial
    • Debugging Recipes
    • Performance Profiling
    • Extensions
  • TypeScript
    • Tutorial
    • Compiling
    • Editing
    • Refactoring
    • Debugging
  • Python
    • Tutorial
    • Editing Code
    • Linting
    • Formatting
    • Debugging
    • Environments
    • Testing
    • Python Interactive
    • Django Tutorial
    • FastAPI Tutorial
    • Flask Tutorial
    • Create containers
    • Deploy Python Apps
    • Python in the Web
    • Settings Reference
  • Java
    • Getting Started
    • Navigate and Edit
    • Refactoring
    • Formatting and Linting
    • Project Management
    • Build Tools
    • Run and Debug
    • Testing
    • Spring Boot
    • Application Servers
    • Deploy Java Apps
    • GUI Applications
    • Extensions
    • FAQ
  • C++
    • Intro Videos
    • GCC on Linux
    • GCC on Windows
    • GCC on Windows Subsystem for Linux
    • Clang on macOS
    • Microsoft C++ on Windows
    • Build with CMake
    • CMake Tools on Linux
    • Editing
    • Debugging
    • Configure debugging
    • Settings
    • Configure IntelliSense
    • Configure IntelliSense for cross-compiling
    • FAQ
  • C#
    • Get Started
    • Navigate and Edit
    • IntelliCode
    • Refactoring
    • Formatting and Linting
    • Project Management
    • Build Tools
    • Package Management
    • Run and Debug
    • Testing
    • FAQ
  • Docker
    • Overview
    • Node.js
    • Python
    • ASP.NET Core
    • Debug
    • Docker Compose
    • Registries
    • Deploy to Azure
    • Choose a dev environment
    • Customize
    • Develop with Kubernetes
    • Tips and Tricks
  • Data Science
    • Overview
    • Jupyter Notebooks
    • Data Science Tutorial
    • Python Interactive
    • PyTorch Support
    • Azure Machine Learning
    • Manage Jupyter Kernels
    • Jupyter Notebooks on the web
  • Azure
    • Extensions
    • Deployment
    • Remote Debugging for Node.js
    • Docker
    • MongoDB
    • Kubernetes
    • Azure Kubernetes Service
  • Remote
    • Overview
    • SSH
    • Dev Containers
    • Windows Subsystem for Linux
    • GitHub Codespaces
    • VS Code Server
    • Tunnels
    • SSH Tutorial
    • WSL Tutorial
    • Tips and Tricks
    • FAQ
  • Dev Containers
    • Overview
    • Tutorial
    • Attach to Container
    • Create a Dev Container
    • Advanced Containers
    • devcontainer.json
    • Dev Container CLI
    • Tips and Tricks
    • FAQ
Edit

Deploy Python Web Apps

The Azure Tools extensions for Visual Studio Code make it easy to deploy Python applications (including containers) to Azure App Service and to deploy serverless code to Azure Functions.

Azure Tools extension

Deployment tutorials

The following tutorials on the Python Azure Developer's Center walk you though the details.

Tutorial Description Related Tools
Deploy Python web app to Azure App Service Deploy a simple web app Django
Flask
Azure CLI
Azure App Service
Azure Tools
Deploy Python web app with database to Azure App Service Deploy a web app with PostgreSQL database Django
Flask
PostgreSQL
Azure App Service
Azure Tools
Deploy Python containers to Azure App Service Deploy a Docker container Docker
Azure App Service
Azure Tools
Deploy Python to Azure Functions Deploy serverless code with Azure Functions Azure Functions Core Tools
Azure Functions
Azure Tools
10/12/2022

In this article there are 1 sectionsIn this article

  • Deployment tutorials
  • Hello from Seattle.
  • Follow @code
  • Support
  • Privacy
  • Manage Cookies
  • Terms of Use
  • License
Microsoft homepage Microsoft homepage © 2023 Microsoft