I'm trying to update a single package in my latest Anaconda installation (release date 2020-07-31, Ubuntu 20.04.1), but lots of other package updates were suggested, including a few I don't necessarily want. How can I narrow down to updating only the packages I care about? Spec Python version: 3.8.3 Conda version: 4.8.4 Problem Output when I tried conda update numpy, conda either wants to update a lot of other packages, or complains that a specific version is pinned by anaconda package. It doesn't need to be numpy, could be another package, like scipy. Below is what I got. Why are there so MANY packages? Can I not just get numpy and MOVE ON? conda update numpy # output below, why can't I just update numpy ONLY?? .... The following NEW packages will be INSTALLED: _anaconda_depends pkgs/main/linux-64::_anaconda_depends-2020.07-py38_0 argon2-cffi pkgs/main/linux-64::argon2-cffi-20.1.0-py38h7b6447c_1 gettext pkgs/main/linux-64::gettext-0.19.8.1-hd7bead4_3 iniconfig pkgs/main/noarch::iniconfig-1.0.1-py_0 libiconv pkgs/main/linux-64::libiconv-1.15-h63c8f33_5 The following packages will be UPDATED: asn1crypto pkgs/main/linux-64::asn1crypto-1.3.0-~ --> pkgs/main/noarch::asn1crypto-1.4.0-py_0 bitarray 1.4.0-py38h7b6447c_0 --> 1.5.2-py38h7b6447c_0 blosc 1.19.0-hd408876_0 --> 1.20.0-hd408876_0 fribidi 1.0.9-h7b6447c_0 --> 1.0.10-h7b6447c_0 fsspec 0.7.4-py_0 --> 0.8.0-py_0 gstreamer 1.14.0-hb31296c_0 --> 1.14.0-hb453b48_1 ipykernel 5.3.2-py38h5ca1d4c_0 --> 5.3.4-py38h5ca1d4c_0 ld_impl_linux-64 pkgs/main::ld_impl_linux-64-2.33.1-h5~ --> conda-forge::ld_impl_linux-64-2.34-hc38a660_9 lz4-c 1.9.2-he6710b0_0 --> 1.9.2-he6710b0_1 notebook 6.0.3-py38_0 --> 6.1.1-py38_0 numpy 1.18.5-py38ha1c710e_0 --> 1.19.1-py38hbc911f0_0 numpy-base 1.18.5-py38hde5b4d6_0 --> 1.19.1-py38hfa32c7d_0 pandas 1.0.5-py38h0573a6f_0 --> 1.1.0-py38he6710b0_0 pandoc 2.10-0 --> 2.10.1-0 path.py 12.4.0-0 --> 12.5.0-0 pip 20.1.1-py38_1 --> 20.2.2-py38_0 pytest 5.4.3-py38_0 --> 6.0.1-py38_0 python pkgs/main:ython-3.8.3-hcff3b4d_2 --> conda-forge:ython-3.8.5-h1103e12_5_cpython regex 2020.6.8-py38h7b6447c_0 --> 2020.7.14-py38h7b6447c_0 scipy 1.5.0-py38h0b6359f_0 --> 1.5.2-py38h0b6359f_0 setuptools 49.2.0-py38_0 --> 49.6.0-py38_0 sphinx 3.1.2-py_0 --> 3.2.1-py_0 sphinxcontrib-web~ 1.2.3-py_0 --> 1.2.4-py_0 sqlite 3.32.3-h62c20be_0 --> 3.33.0-h62c20be_0 tbb 2020.0-hfd86e86_0 --> 2020.1-hfd86e86_0 tblib 1.6.0-py_0 --> 1.7.0-py_0 urllib3 1.25.9-py_0 --> 1.25.10-py_0 The following packages will be SUPERSEDED by a higher-priority channel: glib pkgs/main::glib-2.65.0-h3eb4bd4_0 --> conda-forge::glib-2.65.0-h6f030ca_0 The following packages will be DOWNGRADED: anaconda 2020.07-py38_0 --> custom-py38_1 cffi 1.14.0-py38he30daa8_1 --> 1.14.0-py38h2e261b9_0 libffi 3.3-he6710b0_2 --> 3.2.1-hd88cf55_4 zstd 1.4.5-h0b5b093_0 --> 1.4.5-h9ceee32_0 Proceed ([y]/n)? n I did not like the fact that python was being updated to a conda-forge package (not that I have anything against conda-forge packages), since I did not ask for it. Here is my $HOME/.condarc file: channels: - defaults - pytorch - conda-forge Appreciate your help here. Continue reading...
