Develop Reference

Why is Anaconda showing modules in my base environment?

I have been using Anaconda to build various environments. I noticed that if I use conda list in my base, Anaconda outputs many installed modules.
What are all of these modules?
Were they installed during the initial installation of the Anaconda? If so, how can you tell?
Does having modules in my base create problems? If so, how do I properly remove them?
(base) C:\WINDOWS\system32>conda list
# packages in environment at C:\Program Files\Anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2019.07 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.7 py37_0
anaconda-project 0.8.3 py_0
asn1crypto 0.24.0 py37_0
astroid 2.2.5 py37_0
astropy 3.2.1 py37he774522_0
atomicwrites 1.3.0 py37_1
attrs 19.1.0 py37_1
babel 2.7.0 py_0
backcall 0.1.0 py37_0
backports 1.0 py_2
backports.functools_lru_cache 1.5 py_2
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
backports.tempfile 1.0 py_1
backports.weakref 1.0.post1 py_1
beautifulsoup4 4.7.1 py37_1
bitarray 0.9.3 py37he774522_0
bkcharts 0.2 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
blosc 1.16.3 h7bd577a_0
bokeh 1.2.0 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h452e1ab_1
bzip2 1.0.8 he774522_0
ca-certificates 2019.5.15 0
certifi 2019.6.16 py37_0
cffi 1.12.3 py37h7a1dbc1_0
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 1.2.1 py_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
comtypes 1.1.7 py37_0
conda 4.7.10 py37_0
conda-build 3.18.8 py37_0
conda-env 2.6.0 1
conda-package-handling 1.3.11 py37_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 3
contextlib2 0.5.5 py37_0
cryptography 2.7 py37h7a1dbc1_0
curl 7.65.2 h2a8f88b_0
cycler 0.10.0 py37_0
cython 0.29.12 py37ha925a31_0
cytoolz 0.10.0 py37he774522_0
dask 2.1.0 py_0
dask-core 2.1.0 py_0
decorator 4.4.0 py37_1
defusedxml 0.6.0 py_0
distributed 2.1.0 py_0
docutils 0.14 py37_0
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py37_0
fastcache 1.1.0 py37he774522_0
filelock 3.0.12 py_0
flask 1.1.1 py_0
freetype 2.9.1 ha9979f8_1
future 0.17.1 py37_0
get_terminal_size 1.0.0 h38e98db_0
gevent 1.4.0 py37he774522_0
glob2 0.7 py_0
greenlet 0.4.15 py37hfa6e2cd_0
h5py 2.9.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_0
imageio 2.5.0 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.17 py37_1
intel-openmp 2019.4 245
ipykernel 5.1.1 py37h39e3cac_0
ipython 7.6.1 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.0 py_0
isort 4.3.21 py37_0
itsdangerous 1.1.0 py37_0
jdcal 1.4.1 py_0
jedi 0.13.3 py37_0
jinja2 2.10.1 py37_0
joblib 0.13.2 py37_0
jpeg 9b hb83a4c4_2
json5 0.8.4 py_0
jsonschema 3.0.1 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.3.1 py_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.5.0 py_0
jupyterlab 1.0.2 py37hf63ae98_0
jupyterlab_server 1.0.0 py_0
keyring 18.0.0 py37_0
kiwisolver 1.1.0 py37ha925a31_0
krb5 1.16.1 hc04afaa_7
lazy-object-proxy 1.4.1 py37he774522_0
libarchive 3.3.3 h0643e63_5
libcurl 7.65.2 h2a8f88b_0
libiconv 1.15 h1df5818_7
liblief 0.9.0 ha925a31_2
libpng 1.6.37 h2a8f88b_0
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.2 h7a1dbc1_0
libtiff 4.0.10 hb898794_2
libxml2 2.9.9 h464c3ec_0
libxslt 1.1.33 h579f668_0
llvmlite 0.29.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.3.4 py37h1350720_0
lz4-c 1.8.1.2 h2fa13f4_0
lzo 2.10 h6df0209_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.1.1 py37he774522_0
matlabengineforpython R2018a pypi_0 pypi
matplotlib 3.1.0 py37hc8f65d3_0
mccabe 0.6.1 py37_1
menuinst 1.4.16 py37he774522_0
mistune 0.8.4 py37he774522_0
mkl 2019.4 245
mkl-service 2.0.2 py37he774522_0
mkl_fft 1.0.12 py37h14836fe_0
mkl_random 1.0.2 py37h343c172_0
mock 3.0.5 py37_0
more-itertools 7.0.0 py37_0
mpmath 1.1.0 py37_0
msgpack-python 0.6.1 py37h74a9793_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.5.0 py_0
nbformat 4.4.0 py37_0
networkx 2.3 py_0
nltk 3.4.4 py37_0
nose 1.3.7 py37_2
notebook 6.0.0 py37_0
numba 0.44.1 py37hf9181ef_0
numexpr 2.6.9 py37hdce8814_0
numpy 1.16.4 py37h19fb1c0_0
numpy-base 1.16.4 py37hc3f5095_0
numpydoc 0.9.1 py_0
olefile 0.46 py37_0
openpyxl 2.6.2 py_0
openssl 1.1.1c he774522_1
packaging 19.0 py37_0
pandas 0.24.2 py37ha925a31_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
parso 0.5.0 py_0
partd 1.0.0 py_0
path.py 12.0.1 py_0
pathlib2 2.3.4 py37_0
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pickleshare 0.7.5 py37_0
pillow 6.1.0 py37hdc69c19_0
pip 19.0.3 pypi_0 pypi
pkginfo 1.5.0.1 py37_0
pluggy 0.12.0 py_0
ply 3.11 py37_0
powershell_shortcut 0.0.1 2
prometheus_client 0.7.1 py_0
prompt_toolkit 2.0.9 py37_0
psutil 5.6.3 py37he774522_0
py 1.8.0 py37_0
py-lief 0.9.0 py37ha925a31_2
pycodestyle 2.5.0 py37_0
pycosat 0.6.3 py37hfa6e2cd_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37hfa6e2cd_9
pycurl 7.43.0.3 py37h7a1dbc1_0
pyflakes 2.1.1 py37_0
pygments 2.4.2 py_0
pylint 2.3.1 py37_0
pyodbc 4.0.26 py37ha925a31_0
pyopenssl 19.0.0 py37_0
pyparsing 2.4.0 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pyrsistent 0.14.11 py37he774522_0
pysocks 1.7.0 py37_0
pytables 3.5.2 py37h1da0976_1
pytest 5.0.1 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.3.0 py37_0
pytest-openfiles 0.3.2 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.3 h8c8aaf0_1
python-dateutil 2.8.0 py37_0
python-libarchive-c 2.8 py37_11
pytz 2019.1 py_0
pywavelets 1.0.3 py37h8c2d366_1
pywin32 223 py37hfa6e2cd_1
pywinpty 0.5.5 py37_1000
pyyaml 5.1.1 py37he774522_0
pyzmq 18.0.0 py37ha925a31_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.5.7 py37_1
qtconsole 4.5.1 py_0
qtpy 1.8.0 py_0
requests 2.22.0 py37_0
rope 0.14.0 py_0
ruamel_yaml 0.15.46 py37hfa6e2cd_0
scikit-image 0.15.0 py37ha925a31_0
scikit-learn 0.21.2 py37h6288b17_0
scipy 1.2.1 py37h29ff71c_0
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
setuptools 41.0.1 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h6538335_0
six 1.12.0 py37_0
snappy 1.1.7 h777316e_3
snowballstemmer 1.9.0 py_0
sortedcollections 1.1.2 py37_0
sortedcontainers 2.1.0 py37_0
soupsieve 1.8 py37_0
sphinx 2.1.2 py_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-applehelp 1.0.1 py_0
sphinxcontrib-devhelp 1.0.1 py_0
sphinxcontrib-htmlhelp 1.0.2 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.2 py_0
sphinxcontrib-serializinghtml 1.1.3 py_0
sphinxcontrib-websupport 1.1.2 py_0
spyder 3.3.6 py37_0
spyder-kernels 0.5.1 py37_0
sqlalchemy 1.3.5 py37he774522_0
sqlite 3.29.0 he774522_0
statsmodels 0.10.0 py37h8c2d366_0
sympy 1.4 py37_0
tblib 1.4.0 py_0
terminado 0.8.2 py37_0
testpath 0.4.2 py37_0
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
tornado 6.0.3 py37he774522_0
tqdm 4.32.1 py_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
urllib3 1.24.2 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_4
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.15.4 py_0
wheel 0.33.4 py37_0
widgetsnbextension 3.5.0 py37_0
win_inet_pton 1.1.0 py37_0
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.11.2 py37he774522_0
xlrd 1.2.0 py37_0
xlsxwriter 1.1.8 py_0
xlwings 0.15.8 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.3.1 h33f27b4_3
zict 1.0.0 py_0
zipp 0.5.1 py_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0```

Yes, this is normal and most of these are installed in the base environment with a default Anaconda installation. The anaconda package includes many packages,1 which I won't output all here, but you can check those that come with your specific version (anaconda=2019.07=py37_0 for win-64) with:
> conda search --info anaconda/win-64::anaconda=2019.07=py37_0
anaconda 2019.07 py37_0
-----------------------
file name : anaconda-2019.07-py37_0.tar.bz2
name : anaconda
version : 2019.07
build : py37_0
build number: 0
size : 11 KB
license : BSD
subdir : win-64
url : https://conda.anaconda.org/anaconda/win-64/anaconda-2019.07-py37_0.tar.bz2
md5 : c685b18b8c564f802374f5e407785b1f
timestamp : 2019-07-21 19:38:47 UTC
dependencies:
- alabaster 0.7.12 py37_0
- anaconda-client 1.7.2 py37_0
- anaconda-project 0.8.3 py_0
- asn1crypto 0.24.0 py37_0
- astroid 2.2.5 py37_0
- astropy 3.2.1 py37he774522_0
...
- yaml 0.1.7 hc54c509_2
- zeromq 4.3.1 h33f27b4_3
- zict 1.0.0 py_0
- zipp 0.5.1 py_0
- zlib 1.2.11 h62dcd97_3
- zstd 1.3.7 h508b16e_0
Having packages installed in base is not a problem, though many users prefer a minimal base installation, such as Miniconda or a Miniforge variant, which only include what is essential to run the conda (or mamba) CLI.
Mutating2 packages in base is prone to breaking the Conda installation. So, I don't recommend using the base for work (especially not the Python in there), and recommend Mambaforge for fresh installs.
[1] Note that Conda installs packages, not modules. The term modules refers to what Python packages bundle, but many of the Conda packages are non-Python dependencies.
[2] That is, any conda (install|remove|update) -n base operations. Though it definitely is recommended to keep the conda package updated, i.e., conda update -n base conda.

How do I install the most recent Tensorflow (here: 2.2) on Windows when conda does not yet support it?

I have conda 4.8.3 and Python 3.7.4 on Windows 8.1.
I have tf 2.0.0 installed in a conda environment. How do I upgrade to 2.2.x?
Or, how do I just install 2.2.x in a conda environment?
Edit 1: pip install --upgrade tensorflow says: Requirement already up-to-date: tensorflow in d:\anaconda3\envs\tf2\lib\site-packages (2.1.0)
but tf version is still 2.0.
Edit 2: conda install tensorflow==2.2.0 says:
PackagesNotFoundError: The following packages are not available from current channels:
tensorflow==2.2.0
I did have some luck here.
Edit 3:
(tf2) D:\ray\dev\covid-19>conda list -n tf2
# packages in environment at D:\Anaconda3\envs\tf2:
#
# Name Version Build Channel
_anaconda_depends 2019.03 py37_0
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
_tflow_select 2.3.0 mkl
absl-py 0.9.0 pypi_0 pypi
alabaster 0.7.12 py37_0
anaconda custom py37_1
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.7 py37_0
anaconda-project 0.8.3 py_0
asn1crypto 1.0.1 py37_0
astor 0.8.1 pypi_0 pypi
astroid 2.3.1 py37_0
astropy 3.2.1 py37he774522_0
atomicwrites 1.3.0 py37_1
attrs 19.2.0 py_0
babel 2.7.0 py_0
backcall 0.1.0 py37_0
backports 1.0 py_2
backports.functools_lru_cache 1.5 py_2
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
backports.tempfile 1.0 py_1
backports.weakref 1.0.post1 py_1
beautifulsoup4 4.8.0 py37_0
bitarray 1.0.1 py37he774522_0
bkcharts 0.2 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
blosc 1.16.3 h7bd577a_0
bokeh 1.3.4 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h452e1ab_1
bzip2 1.0.8 he774522_0
ca-certificates 2020.1.1 0
cachetools 4.0.0 pypi_0 pypi
certifi 2019.9.11 py37_0
cffi 1.12.3 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
click 7.0 py37_0
cloudpickle 1.2.2 py_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
comtypes 1.1.7 py37_0
conda-package-handling 1.6.0 py37h62dcd97_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 3
contextlib2 0.6.0 py_0
cryptography 2.7 py37h7a1dbc1_0
curl 7.65.3 h2a8f88b_0
cycler 0.10.0 py37_0
cython 0.29.13 py37ha925a31_0
cytoolz 0.10.0 py37he774522_0
dask 2.5.2 py_0
dask-core 2.5.2 py_0
decorator 4.4.0 py37_1
defusedxml 0.6.0 py_0
dill 0.3.1.1 pypi_0 pypi
distributed 2.5.2 py_0
docutils 0.15.2 py37_0
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py37_0
fastcache 1.1.0 py37he774522_0
filelock 3.0.12 py_0
flask 1.1.1 py_0
freetype 2.9.1 ha9979f8_1
fsspec 0.5.2 py_0
future 0.17.1 py37_0
gast 0.2.2 pypi_0 pypi
get_terminal_size 1.0.0 h38e98db_0
gevent 1.4.0 py37he774522_0
glob2 0.7 py_0
google-auth 1.11.0 pypi_0 pypi
google-auth-oauthlib 0.4.1 pypi_0 pypi
google-pasta 0.1.8 py_0
googleapis-common-protos 1.51.0 pypi_0 pypi
greenlet 0.4.15 py37hfa6e2cd_0
grpcio 1.26.0 pypi_0 pypi
h5py 2.9.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
heapdict 1.0.1 py_0
html5lib 1.0.1 py37_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_0
imageio 2.6.0 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.23 py37_0
intel-openmp 2019.4 245
ipykernel 5.1.2 py37h39e3cac_0
ipython 7.8.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.1 py_0
isort 4.3.21 py37_0
itsdangerous 1.1.0 py37_0
jdcal 1.4.1 py_0
jedi 0.15.1 py37_0
jinja2 2.10.3 py_0
joblib 0.13.2 py37_0
jpeg 9b hb83a4c4_2
json5 0.8.5 py_0
jsonschema 3.0.2 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.3.3 py37_1
jupyter_console 6.0.0 py37_0
jupyter_core 4.5.0 py_0
jupyterlab 1.1.4 pyhf63ae98_0
jupyterlab_server 1.0.6 py_0
keras 2.3.1 py37h21ff451_0 conda-forge
keras-applications 1.0.8 py_0
keras-preprocessing 1.1.0 py_1
keyring 18.0.0 py37_0
kiwisolver 1.1.0 py37ha925a31_0
krb5 1.16.1 hc04afaa_7
lazy-object-proxy 1.4.2 py37he774522_0
libarchive 3.3.3 h0643e63_5
libcurl 7.65.3 h2a8f88b_0
libgpuarray 0.7.6 hfa6e2cd_0
libiconv 1.15 h1df5818_7
liblief 0.9.0 ha925a31_2
libmklml 2019.0.5 0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.11.2 h7bd577a_0
libpython 2.1 py37_0
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.2 h7a1dbc1_0
libtiff 4.0.10 hb898794_2
libxml2 2.9.9 h464c3ec_0
libxslt 1.1.33 h579f668_0
llvmlite 0.29.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.4.1 py37h1350720_0
lz4-c 1.8.1.2 h2fa13f4_0
lzo 2.10 h6df0209_2
m2w64-binutils 2.25.1 5
m2w64-bzip2 1.0.6 6
m2w64-crt-git 5.0.0.4636.2595836 2
m2w64-gcc 5.3.0 6
m2w64-gcc-ada 5.3.0 6
m2w64-gcc-fortran 5.3.0 6
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gcc-objc 5.3.0 6
m2w64-gmp 6.1.0 2
m2w64-headers-git 5.0.0.4636.c0ad18a 2
m2w64-isl 0.16.1 2
m2w64-libiconv 1.14 6
m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-make 4.1.2351.a80a8b8 2
m2w64-mpc 1.0.3 3
m2w64-mpfr 3.1.4 4
m2w64-pkg-config 0.29.1 2
m2w64-toolchain 5.3.0 7
m2w64-tools-git 5.0.0.4592.90b8472 2
m2w64-windows-default-manifest 6.4 3
m2w64-winpthreads-git 5.0.0.4634.697f757 2
m2w64-zlib 1.2.8 10
mako 1.1.0 py_0
markdown 3.1.1 py37_0
markupsafe 1.1.1 py37he774522_0
matplotlib 3.1.1 py37hc8f65d3_0
mccabe 0.6.1 py37_1
menuinst 1.4.16 py37he774522_0
mistune 0.8.4 py37he774522_0
mkl 2019.4 245
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.14 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
mock 3.0.5 py37_0
more-itertools 7.2.0 py37_0
mpmath 1.1.0 py37_0
msgpack-python 0.6.1 py37h74a9793_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.6.0 py37_1
nbformat 4.4.0 py37_0
networkx 2.3 py_0
nltk 3.4.5 py37_0
nose 1.3.7 py37_2
notebook 6.0.1 py37_0
numba 0.45.1 py37hf9181ef_0
numexpr 2.7.0 py37hdce8814_0
numpy 1.16.5 py37h19fb1c0_0
numpy-base 1.16.5 py37hc3f5095_0
numpydoc 0.9.1 py_0
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py37_0
openpyxl 3.0.0 py_0
openssl 1.1.1d he774522_3
opt_einsum 3.1.0 py_0
packaging 19.2 py_0
pandas 0.25.1 pypi_0 pypi
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
parso 0.5.1 py_0
partd 1.0.0 py_0
path.py 12.0.1 py_0
pathlib2 2.3.5 py37_0
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pickleshare 0.7.5 py37_0
pillow 6.2.0 py37hdc69c19_0
pip 20.0.2 pypi_0 pypi
pkginfo 1.5.0.1 py37_0
pluggy 0.13.0 py37_0
ply 3.11 py37_0
powershell_shortcut 0.0.1 2
prometheus_client 0.7.1 py_0
promise 2.3 pypi_0 pypi
prompt_toolkit 2.0.10 py_0
protobuf 3.11.2 pypi_0 pypi
psutil 5.6.3 py37he774522_0
py 1.8.0 py37_0
py-lief 0.9.0 py37ha925a31_2
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycodestyle 2.5.0 py37_0
pycosat 0.6.3 py37hfa6e2cd_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37hfa6e2cd_9
pycurl 7.43.0.3 py37h7a1dbc1_0
pyflakes 2.1.1 py37_0
pygments 2.4.2 py_0
pygpu 0.7.6 py37h452e1ab_0
pylint 2.4.2 py37_0
pyodbc 4.0.27 py37ha925a31_0
pyopenssl 19.0.0 py37_0
pyparsing 2.4.2 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pyrsistent 0.15.4 py37he774522_0
pysocks 1.7.1 py37_0
pytables 3.5.2 py37h1da0976_1
pytest 5.2.1 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.4.0 py_0
pytest-openfiles 0.4.0 py_0
pytest-remotedata 0.3.2 py37_0
python 3.7.4 h5263a28_0
python-dateutil 2.8.0 py37_0
python-libarchive-c 2.8 py37_13
pytz 2019.3 py_0
pywavelets 1.0.3 py37h8c2d366_1
pywin32 223 py37hfa6e2cd_1
pywinpty 0.5.5 py37_1000
pyyaml 5.1.2 py37he774522_0
pyzmq 18.1.0 py37ha925a31_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.6.0 py_0
qtconsole 4.5.5 py_0
qtpy 1.9.0 py_0
requests 2.22.0 py37_0
requests-oauthlib 1.3.0 pypi_0 pypi
rope 0.14.0 py_0
rsa 4.0 pypi_0 pypi
ruamel_yaml 0.15.46 py37hfa6e2cd_0
scikit-image 0.15.0 py37ha925a31_0
scikit-learn 0.21.3 py37h6288b17_0
scipy 1.4.1 pypi_0 pypi
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
setuptools 41.4.0 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h6538335_0
six 1.12.0 py37_0
sklearn 0.0 pypi_0 pypi
snappy 1.1.7 h777316e_3
snowballstemmer 2.0.0 py_0
sortedcollections 1.1.2 py37_0
sortedcontainers 2.1.0 py37_0
soupsieve 1.9.3 py37_0
sphinx 2.2.0 py_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-applehelp 1.0.1 py_0
sphinxcontrib-devhelp 1.0.1 py_0
sphinxcontrib-htmlhelp 1.0.2 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.2 py_0
sphinxcontrib-serializinghtml 1.1.3 py_0
sphinxcontrib-websupport 1.1.2 py_0
spyder 3.3.6 py37_0
spyder-kernels 0.5.2 py37_0
sqlalchemy 1.3.9 py37he774522_0
sqlite 3.30.0 he774522_0
statsmodels 0.10.1 py37h8c2d366_0
sympy 1.4 py37_0
tbb 2019.4 h74a9793_0
tblib 1.4.0 py_0
tensorboard 2.1.0 pypi_0 pypi
tensorflow 2.1.0 pypi_0 pypi
tensorflow-base 2.0.0 mkl_py37hd1d5974_0
tensorflow-datasets 2.0.0 pypi_0 pypi
tensorflow-estimator 2.1.0 pypi_0 pypi
tensorflow-metadata 0.21.1 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
terminado 0.8.2 py37_0
testpath 0.4.2 py37_0
theano 1.0.4 py37_0
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
tornado 6.0.3 py37he774522_0
tqdm 4.36.1 py_0
traitlets 4.3.3 py37_0
unicodecsv 0.14.1 py37_0
urllib3 1.24.2 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.16.0 py_0
wheel 0.33.6 py37_0
widgetsnbextension 3.5.1 py37_0
win_inet_pton 1.1.0 py37_0
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.11.2 py37he774522_0
xlrd 1.2.0 py37_0
xlsxwriter 1.2.1 py_0
xlwings 0.15.10 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.3.1 h33f27b4_3
zict 1.0.0 py_0
zipp 0.6.0 py_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0

TF 2.2.0 isn't available on conda yet.

It's possible to install TF 2.2.0 now with either:
pip install tensorflow-gpu==2.2.0
or
pip install https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.2.0-cp37-cp37m-win_amd64.whl
ONE IMPORTANT THING: for now, at least in my case, there is a major problem with the GPU version. The old one recognises my GPU with no issues, while the latest doesn't see it for some reason. I advise you to create, just in case, a new env so you won't need to reinstall everything later on.
EDIT by a reader:
Better do not use pip install at all if you can wait for the conda version to catch up. Using the pip installer is not recommended, even if it often offers a more recent version. Using pip will risk exactly the documented error here. And you do not need to create a new env with conda update, conda update --all will not harm your dependencies in your env. See Why using Anaconda environments to install tensorflow on Windows?.

There are two methods
1. Install into virtual environment with
pip TensorFlow
virtualenv --system-site-packages -p python3 ./venv
then you need to activate your new environment
pip install --upgrade pip
pip list # show packages installed within the virtual environment
this command for quit
deactivate # don't exit until you're done using TensorFlow
we finish by installing tensor
pip install --upgrade tensorflow
2. Install in your system
python3 --version
pip3 --version
virtualenv --version
Ubuntu
sudo apt update
sudo apt install python3-dev python3-pip
sudo pip3 install -U virtualenv # system-wide install
then
pip3 install --user --upgrade tensorflow # install in $HOME

create new environment and use this command in jupyter notebook :
!pip install tensorflow==2.2-rc3
this version work on CPU or GPU.

Its becasue your required tensorflow version is not available in you current python version.
For Example: python 3.9 doesn't has tensorflow 2.2.0
I have faced this issue once, may this helps you.
Thanks

Why does Anaconda install a lot of unnecessary packages? Is this a settings issue that can be solved or am I not understanding conda env properly?

I have been studying some python lately and I think I have understood the "environments" concept (mainly though a pip youtube tutorial, and just to share with whoever's in need: 1, 2)
I tried the same set of concept understanding, this time using Anaconda (source), and these are my commands:
conda create -n testconda python=3.8 anaconda
(...yes ... enter... yes again...)
conda activate testconda
and I noticed it started installing a ton of packages, which I know some of them (like "Flask"), that aren't necessary.
(conda list output in the end of the post)
So as far as I know (following the youtube tutorial I previously attached to my post), pip installs only required packages (preparing my env and latter - depending on what I install in my env).
Why is Anaconda installing all these packages?
Is there a way to change the settings to only required packages?
I get that some packages should be installed for the environment to work, but I think that some are not...
# Name Version Build Channel
_libgcc_mutex 0.1 main
alabaster 0.7.12 py_0
anaconda 2020.02 py38_0
anaconda-client 1.7.2 py38_0
anaconda-project 0.8.4 py_0
argh 0.26.2 py38_0
asn1crypto 1.3.0 py38_0
astroid 2.3.3 py38_0
astropy 4.0 py38h7b6447c_0
atomicwrites 1.3.0 py_0
attrs 19.3.0 py_0
autopep8 1.4.4 py_0
babel 2.8.0 py_0
backcall 0.1.0 py38_0
backports 1.0 py_2
backports.shutil_get_terminal_size 1.0.0 py38_2
beautifulsoup4 4.8.2 py38_0
bitarray 1.2.1 py38h7b6447c_0
bkcharts 0.2 py38_0
blas 1.0 mkl
bleach 3.1.0 py_0
blosc 1.16.3 hd408876_0
bokeh 1.4.0 py38_0
boto 2.49.0 py38_0
bottleneck 1.3.2 py38heb32a55_0
bzip2 1.0.8 h7b6447c_0
ca-certificates 2020.1.1 0
cairo 1.14.12 h8948797_3
certifi 2019.11.28 py38_0
cffi 1.14.0 py38h2e261b9_0
chardet 3.0.4 py38_1003
click 7.0 py_0
cloudpickle 1.3.0 py_0
clyent 1.2.2 py38_1
colorama 0.4.3 py_0
contextlib2 0.6.0.post1 py_0
cryptography 2.8 py38h1ba5d50_0
curl 7.68.0 hbc83047_0
cycler 0.10.0 py38_0
cython 0.29.15 py38he6710b0_0
cytoolz 0.10.1 py38h7b6447c_0
dask 2.11.0 py_0
dask-core 2.11.0 py_0
dbus 1.13.12 h746ee38_0
decorator 4.4.1 py_0
defusedxml 0.6.0 py_0
diff-match-patch 20181111 py_0
distributed 2.11.0 py38_0
docutils 0.16 py38_0
entrypoints 0.3 py38_0
et_xmlfile 1.0.1 py38_0
expat 2.2.6 he6710b0_0
fastcache 1.1.0 py38h7b6447c_0
filelock 3.0.12 py_0
flake8 3.7.9 py38_0
flask 1.1.1 py_0
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
fsspec 0.6.2 py_0
future 0.18.2 py38_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.3.7 py38h7b6447c_1
glib 2.63.1 h5a9c865_0
glob2 0.7 py_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py38hd5f6e3b_3
graphite2 1.3.13 h23475e2_0
greenlet 0.4.15 py38h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.10.0 py38h7918eee_0
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.4 hb1b8bf9_0
heapdict 1.0.1 py_0
html5lib 1.0.1 py_0
hypothesis 5.5.4 py_0
icu 58.2 h9c2bf20_1
idna 2.8 py38_1000
imageio 2.6.1 py38_0
imagesize 1.2.0 py_0
importlib_metadata 1.5.0 py38_0
intel-openmp 2020.0 166
intervaltree 3.0.2 py_0
ipykernel 5.1.4 py38h39e3cac_0
ipython 7.12.0 py38h5ca1d4c_0
ipython_genutils 0.2.0 py38_0
ipywidgets 7.5.1 py_0
isort 4.3.21 py38_0
itsdangerous 1.1.0 py_0
jbig 2.1 hdba287a_0
jdcal 1.4.1 py_0
jedi 0.14.1 py38_0
jeepney 0.4.2 py_0
jinja2 2.11.1 py_0
joblib 0.14.1 py_0
jpeg 9b h024ee3a_2
json5 0.9.1 py_0
jsonschema 3.2.0 py38_0
jupyter 1.0.0 py38_7
jupyter_client 5.3.4 py38_0
jupyter_console 6.1.0 py_0
jupyter_core 4.6.1 py38_0
jupyterlab 1.2.6 pyhf63ae98_0
jupyterlab_server 1.0.6 py_0
keyring 21.1.0 py38_0
kiwisolver 1.0.1 py38he6710b0_0
krb5 1.17.1 h173b8e3_0
lazy-object-proxy 1.4.3 py38h7b6447c_0
ld_impl_linux-64 2.33.1 h53a641e_7
libarchive 3.3.3 h5d8350f_5
libcurl 7.68.0 h20c2e04_0
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libpng 1.6.37 hbc83047_0
libsodium 1.0.16 h1bed415_0
libspatialindex 1.9.3 he6710b0_0
libssh2 1.8.2 h1ba5d50_0
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_0
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 hea5a465_1
libxslt 1.1.33 h7d1a2b0_0
llvmlite 0.31.0 py38hd408876_0
locket 0.2.0 py38_1
lxml 4.5.0 py38hefd8a0e_0
lz4-c 1.8.1.2 h14c3975_0
lzo 2.10 h49e0be7_2
markupsafe 1.1.1 py38h7b6447c_0
matplotlib 3.1.3 py38_0
matplotlib-base 3.1.3 py38hef1b27d_0
mccabe 0.6.1 py38_1
mistune 0.8.4 py38h7b6447c_1000
mkl 2020.0 166
mkl-service 2.3.0 py38he904b0f_0
mkl_fft 1.0.15 py38ha843d7b_0
mkl_random 1.1.0 py38h962f231_0
mock 4.0.1 py_0
more-itertools 8.2.0 py_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py38_0
msgpack-python 0.6.1 py38hfd86e86_1
multipledispatch 0.6.0 py38_0
nbconvert 5.6.1 py38_0
nbformat 5.0.4 py_0
ncurses 6.2 he6710b0_0
networkx 2.4 py_0
nltk 3.4.5 py38_0
nose 1.3.7 py38_2
notebook 6.0.3 py38_0
numba 0.48.0 py38h0573a6f_0
numexpr 2.7.1 py38h423224d_0
numpy 1.18.1 py38h4f9e942_0
numpy-base 1.18.1 py38hde5b4d6_1
numpydoc 0.9.2 py_0
olefile 0.46 py_0
openpyxl 3.0.3 py_0
openssl 1.1.1d h7b6447c_4
packaging 20.1 py_0
pandas 1.0.1 py38h0573a6f_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py38_1
pango 1.42.4 h049681c_0
parso 0.5.2 py_0
partd 1.1.0 py_0
patchelf 0.10 he6710b0_0
path 13.1.0 py38_0
path.py 12.4.0 0
pathlib2 2.3.5 py38_0
pathtools 0.1.2 py_1
patsy 0.5.1 py38_0
pcre 8.43 he6710b0_0
pep8 1.7.1 py38_0
pexpect 4.8.0 py38_0
pickleshare 0.7.5 py38_1000
pillow 7.0.0 py38hb39fc2d_0
pip 20.0.2 py38_1
pixman 0.38.0 h7b6447c_0
pkginfo 1.5.0.1 py38_0
pluggy 0.13.1 py38_0
ply 3.11 py38_0
prometheus_client 0.7.1 py_0
prompt_toolkit 3.0.3 py_0
psutil 5.6.7 py38h7b6447c_0
ptyprocess 0.6.0 py38_0
py 1.8.1 py_0
pycodestyle 2.5.0 py38_0
pycosat 0.6.3 py38h7b6447c_0
pycparser 2.19 py_0
pycurl 7.43.0.5 py38h1ba5d50_0
pydocstyle 4.0.1 py_0
pyflakes 2.1.1 py38_0
pygments 2.5.2 py_0
pylint 2.4.4 py38_0
pyodbc 4.0.30 py38he6710b0_0
pyopenssl 19.1.0 py38_0
pyparsing 2.4.6 py_0
pyqt 5.9.2 py38h05f1152_4
pyrsistent 0.15.7 py38h7b6447c_0
pysocks 1.7.1 py38_0
pytables 3.6.1 py38h9fd0a39_0
pytest 5.3.5 py38_0
pytest-arraydiff 0.2 py38h39e3cac_0
pytest-astropy 0.8.0 py_0
pytest-astropy-header 0.1.2 py_0
pytest-doctestplus 0.5.0 py_0
pytest-openfiles 0.4.0 py_0
pytest-remotedata 0.3.2 py38_0
python 3.8.1 h0371630_1
python-dateutil 2.8.1 py_0
python-jsonrpc-server 0.3.4 py_0
python-language-server 0.31.7 py38_0
python-libarchive-c 2.8 py38_7
pytz 2019.3 py_0
pywavelets 1.1.1 py38h7b6447c_0
pyxdg 0.26 py_0
pyyaml 5.3 py38h7b6447c_0
pyzmq 18.1.1 py38he6710b0_0
qdarkstyle 2.8 py_0
qt 5.9.7 h5867ecd_1
qtawesome 0.6.1 py_0
qtconsole 4.6.0 py_1
qtpy 1.9.0 py_0
readline 7.0 h7b6447c_5
requests 2.22.0 py38_1
ripgrep 11.0.2 he32d670_0
rope 0.16.0 py_0
rtree 0.9.3 py38_0
ruamel_yaml 0.15.87 py38h7b6447c_0
scikit-image 0.16.2 py38h0573a6f_0
scikit-learn 0.22.1 py38hd81dba3_0
scipy 1.4.1 py38h0b6359f_0
seaborn 0.10.0 py_0
secretstorage 3.1.2 py38_0
send2trash 1.5.0 py38_0
setuptools 45.2.0 py38_0
simplegeneric 0.8.1 py38_2
singledispatch 3.4.0.3 py38_0
sip 4.19.13 py38he6710b0_0
six 1.14.0 py38_0
snappy 1.1.7 hbae5bb6_3
snowballstemmer 2.0.0 py_0
sortedcollections 1.1.1 py_0
sortedcontainers 2.1.0 py38_0
soupsieve 1.9.5 py38_0
sphinx 2.4.0 py_0
sphinxcontrib 1.0 py38_1
sphinxcontrib-applehelp 1.0.1 py_0
sphinxcontrib-devhelp 1.0.1 py_0
sphinxcontrib-htmlhelp 1.0.2 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.2 py_0
sphinxcontrib-serializinghtml 1.1.3 py_0
sphinxcontrib-websupport 1.2.0 py_0
spyder 4.0.1 py38_0
spyder-kernels 1.8.1 py38_0
sqlalchemy 1.3.13 py38h7b6447c_0
sqlite 3.31.1 h7b6447c_0
statsmodels 0.11.0 py38h7b6447c_0
sympy 1.5.1 py38_0
tbb 2020.0 hfd86e86_0
tblib 1.6.0 py_0
terminado 0.8.3 py38_0
testpath 0.4.4 py_0
tk 8.6.8 hbc83047_0
toolz 0.10.0 py_0
tornado 6.0.3 py38h7b6447c_3
tqdm 4.42.1 py_0
traitlets 4.3.3 py38_0
ujson 1.35 py38h7b6447c_0
unicodecsv 0.14.1 py38_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.25.8 py38_0
watchdog 0.10.2 py38_0
wcwidth 0.1.8 py_0
webencodings 0.5.1 py38_1
werkzeug 1.0.0 py_0
wheel 0.34.2 py38_0
widgetsnbextension 3.5.1 py38_0
wrapt 1.11.2 py38h7b6447c_0
wurlitzer 2.0.0 py38_0
xlrd 1.2.0 py_0
xlsxwriter 1.2.7 py_0
xlwt 1.3.0 py38_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
yapf 0.28.0 py_0
zeromq 4.3.1 he6710b0_3
zict 1.0.0 py_0
zipp 2.2.0 py_0
zlib 1.2.11 h7b6447c_3
zstd 1.3.7 h0b5b093_0

Simply don't install the "anaconda" package:
conda create -n testconda python=3.8

Error trying to generate a jupyter notebook config file

I want to change some settings in the jupyter notebook interface --- e.g., display line numbers, display right margin guide --- so that they are always displayed.
Since my ~/.jupyter/ dir contains only one file (migrated) and no /nbconfig/ dir or notebook.json file, I ran jupyter notebook --generate-config at the prompt to create a new config file. This produced a couple errors related to sqlite3 and pysqlite2.
I checked my installed packages and I do have sqlite 3.26.0 installed, though not pysqlite2.
From the error message I'm not sure if the second error related to pysqlite2 is raised only b/c sqlite3 wasn't found, or if I need to install pysqlite2. If it's required for such a basic operation as creating a config file I'm wondering why it wouldn't be part of the Anaconda full install I did a few weeks ago.
I'm on Windows 10 running Anaconda 2018.12, anaconda-client 1.7.2, jupyter notebook server 5.7.4-f6790e4 on Python 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)], IPython 7.2.0.
Here's the commands and full output in case seeing other installed packages is helpful:
k#DESKTOP-VAQRJL8 MINGW64 ~ (master)
$ jupyter notebook --generate-config
Traceback (most recent call last):
File "C:\Users\karls\Anaconda3\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 10, in <module>
import sqlite3
File "C:\Users\karls\Anaconda3\lib\sqlite3\__init__.py", line 23, in <module>
from sqlite3.dbapi2 import *
File "C:\Users\karls\Anaconda3\lib\sqlite3\dbapi2.py", line 27, in <module>
from _sqlite3 import *
ImportError: DLL load failed: The specified procedure could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\karls\Anaconda3\Scripts\jupyter-notebook-script.py", line 6, in <module>
from notebook.notebookapp import main
File "C:\Users\karls\Anaconda3\lib\site-packages\notebook\notebookapp.py", line 86, in <module>
from .services.sessions.sessionmanager import SessionManager
File "C:\Users\karls\Anaconda3\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 13, in <module>
from pysqlite2 import dbapi2 as sqlite3
ModuleNotFoundError: No module named 'pysqlite2'
k#DESKTOP-VAQRJL8 MINGW64 ~ (master)
$ conda list
# packages in environment at C:\Users\karls\Anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2018.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.6 py37_0
anaconda-project 0.8.2 py37_0
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37he774522_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
bcrypt 3.1.6 pypi_0 pypi
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37hfa6e2cd_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 3.0.2 py37_0
blosc 1.14.4 he51fdeb_0
bokeh 1.0.2 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h452e1ab_1
bzip2 1.0.6 hfa6e2cd_5
ca-certificates 2018.03.07 0
certifi 2018.11.29 py37_0
cffi 1.11.5 py37h74b6da3_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.6.1 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
comtypes 1.1.7 py37_0
conda 4.6.3 py37_0
conda-build 3.17.6 py37_0
conda-env 2.6.0 1
conda-verify 3.1.1 py37_0
console_shortcut 0.1.1 3
contextlib2 0.5.5 py37_0
cryptography 2.4.2 py37h7a1dbc1_0
curl 7.63.0 h2a8f88b_1000
cycler 0.10.0 py37_0
cython 0.29.2 py37ha925a31_0
cytoolz 0.9.0.1 py37hfa6e2cd_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.25.1 py37_0
dnspython 1.15.0 pypi_0 pypi
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
faker 0.8.13 pypi_0 pypi
fastcache 1.0.2 py37hfa6e2cd_2
filelock 3.0.10 py37_0
flask 0.12.4 pypi_0 pypi
flask-bcrypt 0.7.1 pypi_0 pypi
flask-cors 3.0.3 pypi_0 pypi
flask-jwt-extended 3.7.0 pypi_0 pypi
flask-login 0.4.0 pypi_0 pypi
freetype 2.9.1 ha9979f8_1
future 0.17.1 py37_0
get_terminal_size 1.0.0 h38e98db_0
gevent 1.3.7 py37he774522_1
glob2 0.6 py37_1
greenlet 0.4.15 py37hfa6e2cd_0
h5py 2.8.0 py37h3bdd7fb_2
hdf5 1.10.2 hac2f561_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.6 py37_0
intel-openmp 2019.1 144
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.2.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.4 py37_0
itsdangerous 1.1.0 py37_0
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jinja2 2.10 py37_0
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter-client 5.2.3 pypi_0 pypi
jupyter-console 6.0.0 pypi_0 pypi
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.3 py37_0
jupyterlab_server 0.2.0 py37_0
keyring 17.0.0 py37_0
kiwisolver 1.0.1 py37h6538335_0
krb5 1.16.1 hc04afaa_7
lazy-object-proxy 1.3.1 py37hfa6e2cd_2
libarchive 3.3.3 h0643e63_5
libcurl 7.63.0 h2a8f88b_1000
libiconv 1.15 h1df5818_7
libpng 1.6.35 h2a8f88b_0
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.0 h7a1dbc1_4
libtiff 4.0.9 h36446d0_2
libxml2 2.9.8 hadb2253_1
libxslt 1.1.32 hf6f1972_0
llvmlite 0.26.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hef2cd61_0
lz4-c 1.8.1.2 h2fa13f4_0
lzo 2.10 h6df0209_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.1.0 py37he774522_0
matplotlib 3.0.2 py37hc8f65d3_0
mccabe 0.6.1 py37_1
menuinst 1.4.14 py37hfa6e2cd_0
mistune 0.8.4 py37he774522_0
mkl 2019.1 144
mkl-service 1.1.2 py37hb782905_5
mkl_fft 1.0.6 py37h6288b17_0
mkl_random 1.0.2 py37h343c172_0
more-itertools 4.3.0 py37_0
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37he980bc4_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.4 py37_0
numba 0.41.0 py37hf9181ef_0
numexpr 2.6.8 py37hdce8814_0
numpy 1.15.4 py37h19fb1c0_0
numpy-base 1.15.4 py37hc3f5095_0
numpydoc 0.8.0 py37_0
objgraph 3.4.0 pypi_0 pypi
odo 0.5.1 py37_0
olefile 0.46 py37_0
openpyxl 2.5.12 py37_0
openssl 1.1.1a he774522_0
packaging 18.0 py37_0
pandas 0.23.4 py37h830ac7b_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py37_1
parso 0.3.1 py37_0
partd 0.3.9 py37_0
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pickleshare 0.7.5 py37_0
pillow 5.3.0 py37hdc69c19_0
pip 18.1 py37_0
pkginfo 1.4.2 py37_1
pluggy 0.8.0 py37_0
ply 3.11 py37_0
prometheus_client 0.5.0 py37_0
prompt-toolkit 2.0.8 pypi_0 pypi
psutil 5.4.8 py37he774522_0
py 1.7.0 py37_0
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37hfa6e2cd_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37hfa6e2cd_9
pycurl 7.43.0.2 py37h7a1dbc1_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pyjwt 1.7.1 pypi_0 pypi
pylint 2.2.2 py37_0
pymongo 3.7.0 pypi_0 pypi
pyodbc 4.0.25 py37ha925a31_0
pyopenssl 18.0.0 py37_0
pyparsing 2.3.0 py37_0
pyqt 5.9.2 py37h6538335_2
pysocks 1.6.8 py37_0
pytables 3.4.4 py37he6f6034_0
pytest 4.0.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.2.0 py37_0
pytest-flask 0.10.0 pypi_0 pypi
pytest-openfiles 0.3.1 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.1 h8c8aaf0_6
python-dateutil 2.7.5 py37_0
python-graphviz 0.10.1 pypi_0 pypi
python-libarchive-c 2.8 py37_6
pytz 2018.7 py37_0
pywavelets 1.0.1 py37h8c2d366_0
pywin32 223 py37hfa6e2cd_1
pywinpty 0.5.5 py37_1000
pyyaml 3.13 py37hfa6e2cd_0
pyzmq 17.1.2 pypi_0 pypi
qt 5.9.7 vc14h73c81de_0 [vc14]
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
requests 2.21.0 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37hfa6e2cd_0
scikit-image 0.14.1 py37ha925a31_0
scikit-learn 0.20.1 py37h343c172_0
scipy 1.1.0 py37h29ff71c_2
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
setuptools 40.6.3 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h6538335_0
six 1.12.0 py37_0
snappy 1.1.7 h777316e_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.1.0 py37_0
sphinx 1.8.2 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.2 py37_0
spyder-kernels 0.3.0 py37_0
sqlalchemy 1.2.15 py37he774522_0
sqlite 3.26.0 he774522_0
statsmodels 0.9.0 py37h452e1ab_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
text-unidecode 1.2 pypi_0 pypi
tk 8.6.8 hfa6e2cd_0
toolz 0.9.0 py37_0
tornado 5.1.1 py37hfa6e2cd_0
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
urllib3 1.24.1 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.32.3 py37_0
widgetsnbextension 3.4.2 py37_0
win_inet_pton 1.0.1 py37_1
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.10.11 py37hfa6e2cd_2
xdot 1.0 pypi_0 pypi
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwings 0.15.1 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.2.5 he025d50_1
zict 0.1.3 py37_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0

Python: why do I get an error when I import geopandas?

I try to import geopandas in my jupyter notebook.
import geopandas as gp
and I get the following error:
ImportError: dlopen(/anaconda3/lib/python3.7/site-packages/fiona/ogrext.cpython-37m-darwin.so, 2): Library not loaded: #rpath/libkea.1.4.7.dylib
Referenced from: /anaconda3/lib/libgdal.20.dylib
Reason: image not found
Below the installed packages
conda list
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.6 py37_0
anaconda-project 0.8.2 py37_0
appnope 0.1.0 py37_0
appscript 1.0.1 py37h1de35cc_1
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37h1de35cc_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37h1de35cc_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 3.0.2 py37_0
blosc 1.14.4 hd9629dc_0
bokeh 1.0.2 py37_0
boost-cpp 1.68.0 h6f8c590_1000 conda-forge
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h1d22016_1
bzip2 1.0.6 h1de35cc_5
ca-certificates 2018.11.29 ha4d7672_0 conda-forge
cairo 1.14.12 h9d4d9ac_1005 conda-forge
certifi 2018.11.29 py37_1000 conda-forge
cffi 1.11.5 py37h6174b99_1
chardet 3.0.4 py37_1
click 7.0 py37_0
click-plugins 1.0.4 py_0 conda-forge
cligj 0.5.0 py_0 conda-forge
cloudpickle 0.6.1 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
conda 4.6.6 py37_0 conda-forge
conda-build 3.17.6 py37_0
conda-env 2.6.0 1
conda-verify 3.1.1 py37_0
contextlib2 0.5.5 py37_0
cryptography 2.5 py37hdbc3d79_1 conda-forge
curl 7.63.0 heae2a1f_1000 conda-forge
cycler 0.10.0 py37_0
cython 0.29.2 py37h0a44026_0
cytoolz 0.9.0.1 py37h1de35cc_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
dbus 1.13.2 h760590f_1
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
descartes 1.1.0 py_2 conda-forge
distributed 1.25.1 py37_0
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
expat 2.2.6 h0a44026_0
fastcache 1.0.2 py37h1de35cc_2
filelock 3.0.10 py37_0
fiona 1.8.4 py37h0e3174d_1002 conda-forge
flask 1.0.2 py37_1
flask-cors 3.0.7 py37_0
fontconfig 2.13.1 h1e4e890_1000 conda-forge
freetype 2.9.1 hb4e5f40_0
freexl 1.0.5 h1de35cc_1002 conda-forge
future 0.17.1 py37_0
gdal 2.4.0 py37h0e3174d_1002 conda-forge
geopandas 0.4.0 pypi_0 pypi
geos 3.7.1 h0a44026_1000 conda-forge
geotiff 1.4.3 hce09ea4_1000 conda-forge
get_terminal_size 1.0.0 h7520d66_0
gettext 0.19.8.1 h15daf44_3
gevent 1.3.7 py37h1de35cc_1
giflib 5.1.4 h1de35cc_1001 conda-forge
glib 2.56.2 hd9629dc_0
glob2 0.6 py37_1
gmp 6.1.2 hb37e062_1
gmpy2 2.0.8 py37h6ef4df4_2
greenlet 0.4.15 py37h1de35cc_0
h5py 2.9.0 nompi_py37h35dc34b_1102 conda-forge
hdf4 4.2.13 0 conda-forge
hdf5 1.10.4 nompi_h646315f_1105 conda-forge
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icu 58.2 h4b95b61_1
idna 2.8 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.6 py37_0
intel-openmp 2019.1 144
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.2.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.4 py37_0
itsdangerous 1.1.0 py37_0
jbig 2.1 h4d881f8_0
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jinja2 2.10 py37_0
jpeg 9c h1de35cc_1001 conda-forge
json-c 0.13.1 h1de35cc_1001 conda-forge
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.3 py37_0
jupyterlab_server 0.2.0 py37_0
kealib 1.4.10 hf5ed860_1002 conda-forge
keyring 17.0.0 py37_0
kiwisolver 1.0.1 py37h0a44026_0
krb5 1.16.2 h24a3359_1000 conda-forge
lazy-object-proxy 1.3.1 py37h1de35cc_2
libarchive 3.3.3 h786848e_5
libcurl 7.63.0 h76de61e_1000 conda-forge
libcxx 4.0.1 hcfea43d_1
libcxxabi 4.0.1 hcfea43d_1
libdap4 3.19.1 hae55d67_1000 conda-forge
libedit 3.1.20170329 hb402a30_2
libffi 3.2.1 h475c297_4
libgdal 2.4.0 h89caebc_1002 conda-forge
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
libkml 1.3.0 h71ee1b2_1009 conda-forge
liblief 0.9.0 h2a1bed3_0
libnetcdf 4.6.2 h6b88ef6_1001 conda-forge
libpng 1.6.35 ha441bb4_0
libpq 10.6 hbe1e24e_1000 conda-forge
libpysal 4.0.1 py_0 conda-forge
libsodium 1.0.16 h3efe00b_0
libspatialindex 1.8.5 h0a44026_1003 conda-forge
libspatialite 4.3.0a h0cd9627_1026 conda-forge
libssh2 1.8.0 hf30b1f0_1003 conda-forge
libtiff 4.0.9 hcb84e12_2
libxml2 2.9.8 hab757c2_1
libxslt 1.1.32 hb819dd2_0
llvmlite 0.26.0 py37h8c7ce04_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hef8c89e_0
lz4-c 1.8.1.2 h1de35cc_0
lzo 2.10 h362108e_2
markupsafe 1.1.0 py37h1de35cc_0
matplotlib 3.0.2 py37h54f8f79_0
mccabe 0.6.1 py37_1
mgwr 2.0.1 py37_1000 conda-forge
mistune 0.8.4 py37h1de35cc_0
mkl 2019.1 144
mkl-service 1.1.2 py37hfbe908c_5
mkl_fft 1.0.6 py37h27c97d8_0
mkl_random 1.0.2 py37h27c97d8_0
more-itertools 4.3.0 py37_0
mpc 1.1.0 h6ef4df4_1
mpfr 4.0.1 h3018a27_3
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37h04f5b5a_1
multipledispatch 0.6.0 py37_0
munch 2.3.2 py_0 conda-forge
navigator-updater 0.2.1 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
ncurses 6.1 h0a44026_1
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.4 py37_0
numba 0.41.0 py37h6440ff4_0
numexpr 2.6.8 py37h7413580_0
numpy 1.15.4 py37hacdab7b_0
numpy-base 1.15.4 py37h6575580_0
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py37_0
openjpeg 2.3.0 h3bf0609_1003 conda-forge
openpyxl 2.5.12 py37_0
openssl 1.0.2p h1de35cc_1002 conda-forge
packaging 18.0 py37_0
palettable 3.1.1 py_0 conda-forge
pandas 0.23.4 py37h6440ff4_0
pandoc 1.19.2.1 ha5e8f32_1
pandocfilters 1.4.2 py37_1
parso 0.3.1 py37_0
partd 0.3.9 py37_0
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pcre 8.42 h378b8a2_0
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.5 py37_0
pillow 5.3.0 py37hb68e598_0
pip 18.1 py37_0
pixman 0.34.0 h1de35cc_1003 conda-forge
pkginfo 1.4.2 py37_1
pluggy 0.8.0 py37_0
ply 3.11 py37_0
poppler 0.67.0 hf4bf5f7_1002 conda-forge
poppler-data 0.4.9 1 conda-forge
postgresql 10.6 ha1bbaa7_1000 conda-forge
proj4 5.2.0 h1de35cc_1001 conda-forge
prometheus_client 0.5.0 py37_0
prompt_toolkit 2.0.7 py37_0
psutil 5.4.8 py37h1de35cc_0
psycopg2 2.7.7 py37hdbc3d79_0 conda-forge
ptyprocess 0.6.0 py37_0
py 1.7.0 py37_0
py-lief 0.9.0 py37hd4eaf27_0
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37h1de35cc_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h1de35cc_9
pycurl 7.43.0.2 py37hdbc3d79_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pylint 2.2.2 py37_0
pyodbc 4.0.25 py37h0a44026_0
pyopenssl 18.0.0 py37_0
pyparsing 2.3.0 py37_0
pyproj 1.9.6 py37h9c430a6_1000 conda-forge
pyqt 5.9.2 py37h655552a_2
pysal 2.0.0 py_0 conda-forge
pysocks 1.6.8 py37_0
pytables 3.4.4 py37h0af8b44_1004 conda-forge
pytest 4.0.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.2.0 py37_0
pytest-openfiles 0.3.1 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.1 h145921a_1000 conda-forge
python-dateutil 2.7.5 py37_0
python-libarchive-c 2.8 py37_6
python.app 2 py37_9
pytz 2018.7 py37_0
pywavelets 1.0.1 py37h1d22016_0
pyyaml 3.13 py37h1de35cc_0
pyzmq 17.1.2 py37h1de35cc_0
qt 5.9.7 h468cd18_1
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
readline 7.0 h1de35cc_5
requests 2.21.0 py37_0
rope 0.11.0 py37_0
rtree 0.8.3 py37_1000 conda-forge
ruamel_yaml 0.15.46 py37h1de35cc_0
scikit-image 0.14.1 py37h0a44026_0
scikit-learn 0.20.1 py37h27c97d8_0
scipy 1.1.0 py37h1410ff5_2
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
setuptools 40.6.3 py37_0
shapely 1.6.4 py37h2bcc7ef_1002 conda-forge
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h0a44026_0
six 1.12.0 py37_0
snappy 1.1.7 he62c110_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.1.0 py37_0
spglm 1.0.6 py_1000 conda-forge
sphinx 1.8.2 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spreg 1.0.4 py_0 conda-forge
spyder 3.3.2 py37_0
spyder-kernels 0.3.0 py37_0
sqlalchemy 1.2.15 py37h1de35cc_0
sqlite 3.26.0 ha441bb4_0
statsmodels 0.9.0 py37h1d22016_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.8 ha441bb4_0
toolz 0.9.0 py37_0
tornado 5.1.1 py37h1de35cc_0
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
tzcode 2018g h1de35cc_1001 conda-forge
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h1de35cc_0
urllib3 1.24.1 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.32.3 py37_0
widgetsnbextension 3.4.2 py37_0
wrapt 1.10.11 py37h1de35cc_2
wurlitzer 1.0.2 py37_0
xerces-c 3.2.2 h44e365a_1001 conda-forge
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwings 0.15.1 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h1de35cc_4
yaml 0.1.7 hc338f04_2
zeromq 4.2.5 h0a44026_1
zict 0.1.3 py37_0
zlib 1.2.11 h1de35cc_3
zstd 1.3.7 h5bba6e5_0

I get around this problem by creating a new environment and ensuring my gdal install is from the conda-forge channel by setting the channel_priority to strict:
conda create -n myenv python=3.7
conda activate myenv
conda config --set channel_priority strict
conda install -c conda-forge gdal poppler pyproj
Perhaps installing poppler and pyproj in the same command is extraneous, but I have had problems with them as well. A clean GDAL install is priceless for all the nice new tools like geopandas, fiona, and rasterio!