18 captures

24 Aug 2019 - 10 Feb 2026

Mar	APR	May
	16
2021	2022	2023

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: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - http://web.archive.org/web/20220416100900/https://www.fullstackpython.com/shells.html Full Stack Python All topics | Blog | Supporter's Edition | @fullstackpython | Facebook | What's new?

Shells

Shells are computer user interfaces that typically refer to a text-only or primarily text-based command prompt. My macOS terminal window showing the bash shell with an active virtualenv.

My macOS terminal window showing the bash shell with an active virtualenv.

The above screenshot shows the bash shell with an active Python virtual environment named fullstackpython within the macOS Terminal application.

Shell resources

cmd is the Pythonic standard library module that can be used for building your own shells. The Python CmdModule wiki page has a great overview of the module and its capabilities. Give your Python program a shell with the cmd module shows a short code example of how to use cmd to build a simple shell. Super Charge Your Shell For Python Development covers aliases, environment variables via Autoenv and some basic shell commands often used during development. Terminal latency quantifies the impact of lag in your keystrokes appearing on the screen. It's a fascinating look at how a small difference of tens of milliseconds causes some shells and editors to feel slow while others are snappy. Why Create a New Unix Shell? is a post by the creator of Oil shell that goes into the rationale for building a new shell even though so many others such as Bash, zsh, PowerShell and KornShell already exist. explainshell (source code) is a wonderful little tool that shows how input and arguments in the shell break down and are interpreted by commands. The data is pulled from the Ubuntu man pages. Shell productivity tips and tricks covers how to increase your effectiveness on the shell across topics such as navigating history, autocompletion, and pattern matching.

What do you want to learn about Python development?

What editor should I use to code my Python app? I've built a Python web app, now how do I deploy it? Tell me about standard relational databases.

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The automatic transcription API loved by Python developers.

Table of Contents

1. Introduction 2. Development Environments Text Editors & IDEs Vim Emacs Sublime Text PyCharm Jupyter Notebook Shells Bash shell Zsh PowerShell Terminal Multiplexers tmux Screen Environment configuration Application Dependencies Virtualenvs Localhost tunnels Source Control Git Mercurial 3. Data 4. Web Development 5. Deployment 6. DevOps Changelog What Full Stack Means About the Author Future Directions Page Statuses ...or view the full table of contents.

Full Stack Python

Full Stack Python is an open book that explains concepts in plain language and provides helpful resources for those topics.

Updates via Twitter & Facebook.

Chapters

1. Introduction 2. Development Environments » Shells 3. Data 4. Web Development 5. Deployment 6. DevOps Changelog What Full Stack Means About the Author Future Directions Page Statuses ...or view the full table of contents.

Matt Makai 2012-2022