I want to install the ‘rope’ package in my current active environment using conda. Currently, the following ‘rope’ versions are available:
(data_downloader)user@user-ThinkPad ~/code/data_downloader $ conda search rope Using Anaconda Cloud api site https://api.anaconda.org Fetching package metadata: .... cached-property 1.2.0 py27_0 defaults 1.2.0 py34_0 defaults 1.2.0 py35_0 defaults 1.3.0 py27_0 defaults 1.3.0 py34_0 defaults 1.3.0 py35_0 defaults rope 0.9.4 py26_0 defaults 0.9.4 py27_0 defaults 0.9.4 py33_0 defaults 0.9.4 py34_0 defaults 0.9.4 py26_1 defaults 0.9.4 py27_1 defaults 0.9.4 py33_1 defaults 0.9.4 py34_1 defaults . 0.9.4 py35_1 defaults
I would like to install the following one:
1.3.0 py35_0 defaults
I’ve tried all sorts of permutations of ‘conda install’ which I’m not going to list here because none of them are correct.
I am also not sure what the py35_0 is (I’m assuming this is the version of the python against which the package was built?) and I also don’t know what ‘defaults’ means?
There is no version
1.3.0 refers to the package
cached-property. The highest available version of
You can install different versions with
conda install package=version. But in this case there is only one version of
rope so you don’t need that.
The reason you see the
cached-property in this listing is because it contains the string
"rope": “cached-p rope erty”
py35_0 means that you need python version
3.5 for this specific version. If you only have
python3.4 and the package is only for version
3.5 you cannot install it with conda.
I am not quite sure on the
defaults either. It should be an indication that this package is inside the default conda channel.
To install a specific package:
conda install <pkg>=<version>
conda install matplotlib=1.4.3
For more complex expressions, the relation can be quoted:
conda install 'matplotlib>=1.4.3' # or conda install "matplotlib>=1.4.3"
If any of these characters, ‘>’, ‘<‘, ‘|’ or ‘*’, are used, a single or double quotes must be used
conda install [-y] package">=version" conda install [-y] package'>=low_version, <=high_version' conda install [-y] "package>=low_version, <high_version" conda install -y torchvision">=0.3.0" conda install openpyxl'>=2.4.10,<=2.6.0' conda install "openpyxl>=2.4.10,<3.0.0"
where option -y, –yes Do not ask for confirmation.
Here is a summary:
Format Sample Specification Results Exact qtconsole==4.5.1 4.5.1 Fuzzy qtconsole=4.5 4.5.0, 4.5.1, ..., etc. >=, >, <, <= "qtconsole>=4.5" 4.5.0 or higher qtconsole"<4.6" less than 4.6.0 OR "qtconsole=4.5.1|4.5.2" 4.5.1, 4.5.2 AND "qtconsole>=4.3.1,<4.6" 4.3.1 or higher but less than 4.6.0
Potion of the above information credit to Conda Cheat Sheet
Tested on conda 4.7.12