Please not the this action will update all packages to the latest version, which may be a different one than the one distributed with the anaconda metapackage. Once “anaconda” meta-package is updated, you’ll have the latest Anaconda distribution.Īpril 2018 Update: If you want to update everything, not only python packages, but also additional software like anaconda-navigator and similar, you can go for an “update all”: If you can get the Digitizer out it should have a number on the Flat cable, or on the ribbon cable. That will update all the anaconda distribution. Model number as well, When ever you buy a communicating device check the settings and on 'my device' section it should tell you all the numbers for a particular device, Model, serial, other info. In case I need to update the distribution, it is better to first of all update the package manager: You can use conda list to check installed version of any package within the distribution. This command will return only the package named “anaconda” (thanks to the $ and the end: yes it actually is a regular expression):Īs you can see I have the latest version (at time of writing, 5.1.0). This can be done using conda, Anaconda’s package manager: So if you have already installed Anaconda and you want to check which version you have, all you need to do is to check the meta-package version. First of all Anaconda is the name of the distribution that is also wholly contained in a meta-package (a package of packages) with the same name. Task tha t may not be so easy at the beginning, since Anaconda is a quite complex beast. So checking which version of Anaconda you have is quite a common task. It has so many packages already backed in, already compiled for Linux and Windows, that you can just forget the pain of having to compile a package yourself before using it.Īnaconda is also frequently updated, and I like to try to keep up with the updates to be sure I always have the best development experience possible. Anaconda is a great Python distribution, and it is my favorite both for Data Science and for plain simple web development.
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