For basic info on what Fabric is, including its public changelog & how the project is maintained, please see the main project website. Tutorial For new users, and/or for an overview of Fabric’s basic functionality, please see the Overview and Tutorial. The rest of the documentation will assume you’re at least passingly familiar with the material contained within. Usage documentation The following list contains all major sections of Fabric’s prose (non-API) documentation, which expands upon the concepts outlined in the Overview and Tutorial and also covers advanced topics. API documentation Fabric maintains two sets of API documentation, autogenerated from the source code’s docstrings (which are typically very thorough.)
This is version 1.132, last updated Aug 31, 2014 to cover the ConfigParser module. Download Download version 1.132, including all source files with examples and HTML versions of the documentation. There is also a PDF of this entire document available for download. Translations Several translations are in process. Recent Blog Posts PyMOTW: The Book2/23/2011PyMOTW: The Book I am excited to announce the impending release of The Python Standard Library By Example, a book…Book Galleys3/2/2011Book Galleys My publisher arranged to send physical copies of *The Python Standard Library By Example* so I could bring…
7 Python Libraries you should know about. In my years of programming in Python and roaming around GitHub's Explore section, I've come across a few libraries that stood out to me as being particularly enjoyable to use.
This blog post is an effort to further spread that knowledge. I specifically excluded awesome libs like requests, SQLAlchemy, Flask, fabric etc. because I think they're already pretty "main-stream". If you know what you're trying to do, it's almost guaranteed that you'll stumble over the aforementioned. This is a list of libraries that in my opinion should be better known, but aren't. Python Extension Packages for Windows. By Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine.
Use pip version 6 to install the downloaded .whl files. The binaries are compatible with the official CPython distribution on Windows >=6.0. Build Environment.
The extensions include wrappers for creating and deleting virtual environments and otherwise managing your development workflow, making it easier to work on more than one project at a time without introducing conflicts in their dependencies. Features¶ Organizes all of your virtual environments in one place.Wrappers for managing your virtual environments (create, delete, copy).Use a single command to switch between environments.Tab completion for commands that take a virtual environment as argument.User-configurable hooks for all operations (see Per-User Customization).Plugin system for more creating sharable extensions (see Extending Virtualenvwrapper).
Introduction¶ Les environnements virtuels Python : virtualenv et virtualenvwrapper. Quand on commence à beaucoup programmer, on accumule rapidement plusieurs projets en cours de développement sur sa machine.
Certains vieux, certains récents, qui utilisent tous des bibliothèques similaires, mais pas forcément de mêmes versions. Ou parfois des bibliothèques incompatibles. Virtual Environments — The Hitchhiker's Guide to Python. Tools of the Modern Python Hacker: Virtualenv, Fabric and Pip - electronic.habitat : alex.clemesha. July 05, 2009 In the jargon of the computer programmer, a hacker is someone who strives to solve problems in elegant and ingenious ways.
Part of the path to elegantly solving larger problems is to use tools that solve sub-problems very well. For the modern Python programmer, some of the most important tools to aid in reduced complexity and repetition are virtualenv, Fabric, and pip. Although these tools have no strict relationship (in the sense that many people may use one or two of these tools often, yet aren’t even aware of the others), they form a powerful suite when combined. An excellent example is the following: You have a Django project that you want to do automated deployment to both your staging and production environment (Fabric).
Package management - How to set up and use a virtual python environment in Ubuntu.