Glossary¶

Access Tokens¶: Access tokens are secure strings used for authenticating access to resources and services. This part will explain generating access tokens for services like Azure, GitHub, and Anaconda Cloud, and managing them efficiently.
Anaconda¶: Anaconda is a distribution of Python and R languages geared toward scientific computing and data science. Anaconda comes with Conda, its package manager, and includes a wide array of pre-installed packages for various computing tasks.
Conda¶: Conda is an open-source, cross-platform package manager and environment management system. It is designed to simplify the installation and management of software packages and their dependencies. Conda is language-agnostic, but it is often used for Python projects.
Conda-forge¶: Conda-forge is a community-driven repository of Conda packages. It provides a unified channel to distribute software that may not be available in the default Conda channels.
Conda-smithy¶: Conda-smithy is a tool used to manage multiple feedstocks for Conda-forge packages. It automates the configuration of continuous integration services used to build Conda packages.
Continuous Integration and Deployment (CI/CD)¶: CI/CD involves automatic building, testing, and deploying code changes. This segment discusses setting up CI/CD pipelines, automated testing, and efficient deployment.
Continuous Integration and Deployment (CI/CD)¶: CI/CD involves automatic building, testing, and deploying code changes. This segment discusses setting up CI/CD pipelines, automated testing, and efficient deployment.
DevOps¶: DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.
Environment Variables¶: Named values in a computer’s environment that influence the behavior of running processes. These variables store system settings and user preferences, guiding how software operates.
Feedstock¶: A feedstock is a repository that contains the build recipes for one or more Conda packages. Managed by Conda-smithy, feedstocks are the building blocks for creating and maintaining Conda packages on Conda-forge.
Miniconda¶: Miniconda is a minimal installer for Conda. Unlike Anaconda, it doesn’t come with a pre-set library of scientific packages, giving you the freedom to install only the packages you need.
Package¶: In the context of Conda, a package is a bundled set of software binaries, libraries, or scripts, along with metadata and dependencies, which can be installed into a Conda environment.
Persistent Environment Variables¶: Variables that remain active across multiple sessions and survive system restarts. Common in Unix and Windows, these are set in system or user profiles, ensuring consistent availability for essential settings like system paths.
Temporary Environment Variables¶: Variables set temporarily for a single session or process. They cease to exist once the session or process ends. Often used in scripts or command-line sessions, they allow for temporary adjustments to a process’s behavior without altering permanent settings.
Version Control¶: Version control systems track file changes over time. This section covers the basics of Git, including repository setup, commits, remote changes, branches, and pull requests.