Metapackages may list dependencies to several core, low-level It need not have any dependencies or build steps. It makes sense to read the docs, it is a short overview.Īnd since it will be used quite often, here is the definition of metapackage:Ī metapackage is a very simple package that has at least a name and a In the following, the "docs" mean the official Anaconda documentation at Updating from older versions.
#Latest anaconda distribution how to
This answer wraps up many answers and comments, it does not add new code, all credits go to the other answers, especially this answer that shows how to install the official release, fully in line with the docs.
#Latest anaconda distribution update
If you're not able to update the environments you are using you should be able to clone and then update: conda create -n myenv -clone base It is pretty much exactly the same story, with the exception that you may not be able to update the base environment if it was installed by someone else (say to /opt/anaconda/latest). Commercial use of Anaconda or Anaconda Enterprise conda list will give you some hints about the pip-based Python packages you have in an environment, but it won't do anything special to update them. None of this is going to help with updating packages that have been installed from PyPI via pip or any packages installed using python setup.py install. The conda documentation has more details and examples. conda create -n myspecialenv -c bioconda -c conda-forge python=3.5 pandas beautifulsoup seaborn nltk Thanks to the conda package cache and the way file linking is used doing this is typically i) fast and ii) consumes very little additional disk space. If you need an exact set of packages then create a conda environment to hold them. Your base environment is probably not a good place to try and manage an exact set of packages: it is going to be a dynamic working space with new packages installed and packages randomly updated. In most cases updating the Anaconda package in the package list will have a surprising result: you may actually downgrade many packages (in fact, this is likely if it indicates the version as custom). Why updating the Anaconda package is almost always a bad idea If you don't care about package versions and just want "the latest set of all packages in the standard Anaconda Distribution, so long as they work together", then you should take a look at this gist. Updating just the packages in the standard Anaconda Distribution
Or from the command line: conda update astroid astropy When you are done you need to click the "Apply" button: for astroid or astropy in the screenshot above, and this will tag those packages for an upgrade. If you are only interested in updating an individual package then simply click on the blue arrow or blue version number in Navigator, e.g. Or from the command line you can provide the environment name ( -n envname) or path ( -p /path/to/env), for example to update your dspyr environment from the screenshot above: conda update -n dspyr -all When it is selected there is a triangular marker on the right (see image above, step 3). If you have other environments you'd like to update you can repeat the process above, but first click on the environment. This operation will only update the one selected environment (in this case, the base environment). This needs to be executed from the command line, and the best way to get there is from Anaconda Navigator, then the "Environments" tab, then click on the triangle beside the base environment, selecting "Open Terminal": This will update all packages in the current environment to the latest version - with the small print being that it may use an older version of some packages in order to satisfy dependency constraints (often this won't be necessary and when it is necessary the package plan solver will do its best to minimize the impact). (But this should be preceded by conda update -n base conda or simply conda update conda so you have the latest conda version installed) In most cases what you want to do when you say that you want to update Anaconda is to execute the command: conda update -all Root is the old (pre-conda 4.4) name for the main environment after conda 4.4, it was renamed to be base.
0 kommentar(er)
