A question for WinPython users so I don't have to uninstall Anaconda : if you use the WinPython Control Panel to register one installation of WinPython to Windows, does drag-n-drop work? There is one way myself or my coworkers would have understood virtual environments or pip coming from an excel only background. Given the openness of conda recipes and build systems on conda-forge, it would not be all that hard to mirror all of conda-forge on your own server if you have reason to do so. Package versions are managed by the. Even if a recipe in the bioconda repo is updated to a new version, the old version will remain on anaconda. Getting rid of this hassel alone is enough reason to switch.
But why didn't Conda's creators just talk to the Python packaging folks and figure out these challenges together? Since conda already tries to make everything as up-to-date as possible, this results in far fewer unsatisfiability issues, which were usually caused because one package's dependency specifications required another to be downgraded. We created the Anaconda Python distribution and contribute to many other open source-based data analytics tools. Historically, the package build process for the default conda channel have not been as open as they could be, and the process of getting a build updated has mostly relied on knowing someone at Continuum. I used anaconda and now I'm using a lot of libraries. Finally, the focus on pip vs. Even setting aside Myth 2, if we focus on just installation of Python packages, conda and pip serve different audiences and different purposes.
All the metadata for each package lives in a Github repository, and package updates are accomplished through merging a Github pull request is an example of what a package update looks like in conda-forge. As far back as 2001, the NumPy project in an attempt to make it handle the complex requirements of a NumPy distribution. You can read more about the promise of conda-forge in Wes McKinney's recent blog post,. Also having a launcher for iPython notebooks is really handy. It's true that even conda-forge publishes its package builds to , a website owned and maintained by Continuum Analytics. Frankly, the more I think about it, I'd probably simply recommend full anaconda without an enviroment to new users Okay, if we can describe it in a way we know will work, with possible limitations that we also mention. You can install packages here for day-to-day work but it's not really recommended.
This is a horrible option because it throws out the main benefit of isolation of your work environment from your system Python stack. However, it does not matter which one you download, because you can create new environments that include any version of Python packaged with conda. A huge benefit is that for most packages, the result will be immediately compatible with multiple operating systems. So where should the community go from here? Conda easily creates, saves, loads and switches between environments on your local computer. We now have a cross-platform solution that will install a working version of the package and its dependencies with a single command, in seconds, on nearly any computer. If all you are doing is installing Python packages within an isolated environment, conda and pip+virtualenv are mostly interchangeable, modulo some difference in dependency handling and package availability.
Unless the pip project is broadly re-scoped, it will never be able to meaningfully install and track all the non-Python packages that conda does: the architecture is Python-specific and rightly Python-focused. An entire generation of scientific Python users spent countless hours struggling with the installation hell created by this exercise of forcing a square peg into a round hole — and those were just ones lucky enough to be using Linux. Conda install is much quicker than pip for large libraries like scipy. Our teams are scattered around the world, and we want to be able to collaborate in real time. Regardless of which version of Miniconda you install, you can still install both Python 2.
To find out against which version you can pin a package, e. Suffice to say that I'm not really seeing the huge draw. Postscript: Which Tool Should I Use? Testing bioconda-utils locally Follow the instructions at to create a separate Miniconda installation using the bootstrap. So Anaconda is like a linux distro a better comparison would be something like nix , but that's not widely known. It is installed by most people through the installation of Anaconda or , a minimal installer for conda that includes conda and its dependencies Python, the packages they depend on and a small number of other useful packages, including pip, zlib and a few others.
We are committed to the open source community. Myth 3: Conda and pip are direct competitors Reality: Conda and pip serve different purposes, and only directly compete in a small subset of tasks: namely installing Python packages in isolated environments. First conda install pip, and then you can pip install any available package within that environment. Thanks to Filipe Fernandez, Aaron Meurer, Bryan van de Ven, and Phil Elson for helpful feedback on early drafts of this post. Note that the choice of which Miniconda is installed only affects the root environment. Yes, I really want to install these unsupported embedded drivers, and no, I don't want to reboot after every update. As bigstone mentioned, it is not like WinPython in terms of running as a self contained python distro that does not affect the usage another installed version of Python.
Anyway, I feel like you are grossly underestimating how complicated installing this can be to some most? Plus even if it is possible the dependency solver may take ~forever to complete. Continuous integration tests each small incremental change to code to ensure that everything is up-to-date and correct. So conda is part of Anaconda. But then you have to install packages there, and there's no difference to miniconda except that possibly less stuff is downloaded. Use the conda install command to install 720+ additional conda packages from the Continuum repository. To read some of the details about these pain-points and how they led to Conda, I'd suggest Travis Oliphant's on the topic. In the open source world, there is sometimes quite rightly a fundamental distrust of for-profit entities, and the fact that Anaconda was created by and is a free component of a causes some to worry.
In fact, the creation of in conda is well-documented, and there would be nothing to stop someone from building and hosting their own private distribution using Conda as a package manager is the relevant command. Rumor is that this was largely because the original conda package creation process was not as well-defined and streamlined as it is today. The open source packages can be individually installed from the Anaconda repository with the conda install command or using the pip install command that is installed with Anaconda. Agree in general, but the details need to be worked out properly. The other difference is that the Python 3 version of Miniconda will default to Python 3 when creating new environments and building packages. Note that this version lacks some additional tests that are executed in the online version. In short, pip is a general-purpose manager for Python packages; conda is a language-agnostic cross-platform environment manager.
If that's the case, then it actually is simpler to just install the full package. Since anaconda almost always prevents updates, it makes little sense to include it. Among the new developments since those early days, the one with perhaps the broadest impact on my daily work has been the introduction of , the open-source cross-platform package manager first released in 2012. It is available for , and. If you're still worried about Continuum Analytics — a for-profit company — serving the community by hosting conda packages, you should probably be equally worried about Rackspace — a for-profit company — serving the community by hosting the. Archived from on 16 Jun 2015. Then, in the activated environment, install the bioconda-utils test requirements, from the top-level directory of the bioconda-utils repo.