Differences

This shows you the differences between two versions of the page.

--- other:uvcdat:cdat_conda:miniconda3_install [2021/03/09 14:01] – [Using mamba instead of conda] jypeter
+++ other:uvcdat:cdat_conda:miniconda3_install [2024/03/13 17:57] – [What? Why?] jypeter
@@ Line 9: / Line 9: @@
   * You don't need to be (and **you should not be**) //root// when you install Miniconda3. You just need enough disk space where you have write access
-  * If you are installing Miniconda3 in a Linux environment on a [[other:win10wsl|Windows 10 computer using Windows Subsystem for Linux (WSL)]], pay special attention to the instructions on the **WSL** lines
+  * If you are installing Miniconda3 in a Linux environment on a [[other:win10wsl|Windows 10 computer using Windows Subsystem for Linux (WSL)]], pay special attention to the specific instructions on the **WSL** lines
   * The way you do things will depend on how you are going to use python. There may be some slight differences if you are installing the environment just for you, or if you need a more stable environment because you are installing for multiple users.
@@ Line 136: / Line 136: @@
 ==== Using mamba instead of conda ====
-Even when using a proper ''.condarc'' in order to get packages coming only from //conda-forge//, ''conda install'' may fail to solve the dependencies after meditating during an enormous time (e.g. [[https://github.com/conda/conda/issues/9367|Solving environment: failed with initial frozen solve. Retrying with flexible solve.]]), when we try to deal with **complex environments** (i.e. we already have lots of installed packages and we want to install even more packages).
+Even when using a proper ''.condarc'' in order to get packages coming only from //conda-forge//, ''conda install'' may fail to solve the dependencies after meditating during an enormous time (e.g. [[https://github.com/conda/conda/issues/9367#issuecomment-793968239|Solving environment: failed with initial frozen solve. Retrying with flexible solve.]]), when we try to deal with **complex environments** (i.e. we already have lots of installed packages and we want to add even more packages).
 Using CDAT as a base environment, and adding a lot of extra packages is a **complex environment**.
-The only solution seems to replace ''conda'' with [[https://github.com/mamba-org/mamba|mamba]], a reimplementation of the conda package manager in C++ ([[https://wolfv.medium.com/making-conda-fast-again-4da4debfb3b7|Making conda fast again]])
+The only solution seems to replace ''conda'' with [[https://github.com/mamba-org/mamba|mamba]], a reimplementation of the conda package manager in C++ ([[https://wolfv.medium.com/making-conda-fast-again-4da4debfb3b7|Making conda fast again]]):
+  * Install ''mamba'' in the //base// (i.e. //miniconda//) environment\\ ''conda install mamba -n base -c conda-forge''
+  * Use ''mamba'' instead of ''conda'' when installing packages.\\ Theoretically, you don't need to specify ''install -c conda forge'' any more, because ''conda-forge'' is now the default source of new packages\\ ''mamba install lots_of_packages''