beyondgogl.blogg.se - Conda install package cannot find

Conda install package cannot find how to#
Conda install package cannot find software#
Conda install package cannot find download#

Sometimes (and I really don't know why) the modules inside sites-packages conda env are not available to import automatically without export the PATH. In this case you have two places: /anaconda3/lib/python3.7/site-packages/ and /anaconda3/envs//lib/python3.7/site-packages/.įirst the modules will be available as default in /anaconda3/lib/python3.7/site-packages/.

When you build and install python packages from source (using distutils, probably by executing python setup.py install ), you will find the installed modules in site-packages by default. Python use first the sites-packages as the target directory of manually built python packages. anaconda3/lib/python3.7/site-packages/folium When you install using pip (with a anaconda env activated), pip install folium, the package will be placed in. anaconda3/envs//lib/python3.7/site-packages/folium When you install using conda install -c conda-forge folium, the package will be placed in.

"Project-specific" - at which environment.I had have a similar issue, trying to install folium.

These are the general "levels" of abstraction at which packages can be installed:

Use docker containers for system-level packages - this is where we need Docker containers.

Use pip only when you cannot find packages on conda.

The overview is that there are "conda" packages, which share a large overlap with "pip" packages, and both share very little overlap with "system" packages. Oftentimes we have to compose them together. At least in the Python data science world, there are 2-3 package managers that one needs to be aware of, as the ecosystem is big and wide.

Conda install package cannot find software#

Where do we get our software from? Most commonly, they come from package repositories that we interact with using package managers. (see: Use pip only when you cannot find packages on conda) If you can't find a conda-installable version of the package, then consider using pip. Once you've found it, add the package to your environment.yml file under the dependencies section. Or by going to the website and search for the package that you're interested in.Īlso, be sure you check the GitHub repository under the "Installation" instructions for anything that suggests that you could install the package from conda-forge. You can do this by either running: conda search package_name When you want to search for a package, before you assume it's available on PyPI, search for it on.

Conda install package cannot find download#

These are used by the conda package manager to download the desired packages, their dependencies, and their appropriate versions onto your machine. To do so, you specify your environment using environment.yml files.

Conda install package cannot find how to#

How to search for conda-installable versions of packages

This idea relates to the notion of specifying single sources of truth for categories of stuff. Thirdly, as the suite of packages that become available in conda-forge increases, and as the conda-forge developers increase the amount of tooling to automatically mirror language-specific packages on conda-forge, it becomes progressively easier to rely primarily on the conda package manager.

Conda was designed to handle mutliple programming languages in the same environment, and will help you pull down packages used in multiple languages, and all of their dependencies. There have been projects I worked on that used Python calling out to R packages.

Secondly, on occasion one might need to use packages that come from multiple languages. Here are the reasons why.įirstly, Conda packages have their versions and dependencies tracked properly, and so the conda dependency solver (or its drop-in replacement mamba) can be used to pick out the right set of packages. As a matter of practical advice, I usually prefer conda-installed packages over pip-installed packages.