How to use DeepLearning.ai Jupyter lab notebook locally with Anaconda
2025-04-17T18:30:00Z
There are many threads in this site related to same , and I found some pretty hard to install in my system , some works some don’t .
But with latest version of everything you can run the notebook easily so
You
- need Anaconda LTS to be installed , you can find steps for installation it from anywhere in internet , easy task. It is about 5GB , so you should have enough space in C Drive…
- Need to set up Conda-forge channel using anaconda-prompt
A brief introduction | conda-forge | community-driven packaging for conda follow the steps from this site - create a conda virtual environment with latest python version
conda create --myenv // as per you suitable name which is saved at registered dir
if want to create in a specific dir
conda create --prefix ./envs
- Activation command :
conda activate myenv
if it is in default registered dir orconda activate "full\path\to\env\dir"
Useconda env list
command to check if you correctly set up the env or not
follow the site for more ``
- after activation install ipympl using
conda install -c conda-forge ipympl
- Also install jupyterlab and its corresponding (necessary step)
conda install --channel=conda-forge jupyterlab jupyterlab-favorites jupyterlab-system-monitor nb_conda_kernels``` step run ```jupyter nbextension enable --py --sys-prefix ipympl
- so in this all process numpy , matplotlib are installed
- for precaution purpose run
jupyter nbextension enable --py --sys-prefix ipympl
- At the end run
jupyter lab
so it may open at localhost:8888 and you can run all Course 1 optional Lab ipynb files - Here is a list of packages solved some problems of interactive matplotlib and other
Conda Environment Packages
Name | Version | Build | Channel |
---|---|---|---|
_openmp_mutex | 4.5 | 2_gnu | conda-forge |
anyio | 4.9.0 | pyh29332c3_0 | conda-forge |
argon2-cffi | 23.1.0 | pyhd8ed1ab_1 | conda-forge |
argon2-cffi-bindings | 21.2.0 | py313ha7868ed_5 | conda-forge |
arrow | 1.3.0 | pyhd8ed1ab_1 | conda-forge |
asttokens | 3.0.0 | pyhd8ed1ab_1 | conda-forge |
attrs | 25.3.0 | pyh71513ae_0 | conda-forge |
babel | 2.17.0 | pyhd8ed1ab_0 | conda-forge |
beautifulsoup4 | 4.13.4 | pyha770c72_0 | conda-forge |
bleach | 6.2.0 | pyh29332c3_4 | conda-forge |
bleach-with-css | 6.2.0 | h82add2a_4 | conda-forge |
brotli | 1.1.0 | h2466b09_2 | conda-forge |
brotli-bin | 1.1.0 | h2466b09_2 | conda-forge |
brotli-python | 1.1.0 | py313h5813708_2 | conda-forge |
bzip2 | 1.0.8 | h2466b09_7 | conda-forge |
ca-certificates | 2025.1.31 | h56e8100_0 | conda-forge |
cached-property | 1.5.2 | hd8ed1ab_1 | conda-forge |
cached_property | 1.5.2 | pyha770c72_1 | conda-forge |
certifi | 2025.1.31 | pyhd8ed1ab_0 | conda-forge |
cffi | 1.17.1 | py313ha7868ed_0 | conda-forge |
charset-normalizer | 3.4.1 | pyhd8ed1ab_0 | conda-forge |
colorama | 0.4.6 | pyhd8ed1ab_1 | conda-forge |
comm | 0.2.2 | pyhd8ed1ab_1 | conda-forge |
contourpy | 1.3.2 | py313h1ec8472_0 | conda-forge |
cpython | 3.13.3 | py313hd8ed1ab_101 | conda-forge |
cycler | 0.12.1 | pyhd8ed1ab_1 | conda-forge |
debugpy | 1.8.14 | py313h5813708_0 | conda-forge |
decorator | 5.2.1 | pyhd8ed1ab_0 | conda-forge |
defusedxml | 0.7.1 | pyhd8ed1ab_0 | conda-forge |
entrypoints | 0.4 | pyhd8ed1ab_1 | conda-forge |
exceptiongroup | 1.2.2 | pyhd8ed1ab_1 | conda-forge |
executing | 2.1.0 | pyhd8ed1ab_1 | conda-forge |
fonttools | 4.57.0 | py313hb4c8b1a_0 | conda-forge |
fqdn | 1.5.1 | pyhd8ed1ab_1 | conda-forge |
freetype | 2.13.3 | h0b5ce68_0 | conda-forge |
h2 | 4.2.0 | pyhd8ed1ab_0 | conda-forge |
hpack | 4.1.0 | pyhd8ed1ab_0 | conda-forge |
hyperframe | 6.1.0 | pyhd8ed1ab_0 | conda-forge |
idna | 3.10 | pyhd8ed1ab_1 | conda-forge |
importlib-metadata | 8.6.1 | pyha770c72_0 | conda-forge |
importlib_resources | 6.5.2 | pyhd8ed1ab_0 | conda-forge |
intel-openmp | 2024.2.1 | h57928b3_1083 | conda-forge |
ipykernel | 6.29.5 | pyh4bbf305_0 | conda-forge |
ipympl | 0.9.7 | pyhd8ed1ab_1 | conda-forge |
ipython | 9.1.0 | pyhca29cf9_0 | conda-forge |
ipython_genutils | 0.2.0 | pyhd8ed1ab_2 | conda-forge |
ipython_pygments_lexers | 1.1.1 | pyhd8ed1ab_0 | conda-forge |
ipywidgets | 8.1.6 | pyhd8ed1ab_0 | conda-forge |
isoduration | 20.11.0 | pyhd8ed1ab_1 | conda-forge |
jedi | 0.19.2 | pyhd8ed1ab_1 | conda-forge |
jinja2 | 3.1.6 | pyhd8ed1ab_0 | conda-forge |
json5 | 0.12.0 | pyhd8ed1ab_0 | conda-forge |
jsonpointer | 3.0.0 | py313hfa70ccb_1 | conda-forge |
jsonschema | 4.23.0 | pyhd8ed1ab_1 | conda-forge |
jsonschema-specifications | 2024.10.1 | pyhd8ed1ab_1 | conda-forge |
jsonschema-with-format-nongpl | 4.23.0 | hd8ed1ab_1 | conda-forge |
jupyter-resource-usage | 0.7.1 | pyhd8ed1ab_0 | conda-forge |
jupyter_client | 7.4.9 | pyhd8ed1ab_0 | conda-forge |
jupyter_core | 5.7.2 | pyh5737063_1 | conda-forge |
jupyter_events | 0.12.0 | pyh29332c3_0 | conda-forge |
jupyter_server | 2.15.0 | pyhd8ed1ab_0 | conda-forge |
jupyter_server_terminals | 0.5.3 | pyhd8ed1ab_1 | conda-forge |
jupyterlab | 3.5.3 | pyhd8ed1ab_0 | conda-forge |
jupyterlab-favorites | 3.2.2 | pyhd8ed1ab_0 | conda-forge |
jupyterlab-system-monitor | 0.8.0 | pyhd8ed1ab_2 | conda-forge |
jupyterlab-topbar | 0.6.1 | pyhd8ed1ab_3 | conda-forge |
jupyterlab_pygments | 0.3.0 | pyhd8ed1ab_0 | conda-forge |
jupyterlab_server | 2.27.3 | pyhd8ed1ab_1 | conda-forge |
jupyterlab_widgets | 3.0.14 | pyhd8ed1ab_0 | conda-forge |
kiwisolver | 1.4.7 | py313h1ec8472_0 | conda-forge |
krb5 | 1.21.3 | hdf4eb48_0 | conda-forge |
lcms2 | 2.17 | hbcf6048_0 | conda-forge |
lerc | 4.0.0 | h63175ca_0 | conda-forge |
libblas | 3.9.0 | 31_h641d27c_mkl | conda-forge |
libbrotlicommon | 1.1.0 | h2466b09_2 | conda-forge |
libbrotlidec | 1.1.0 | h2466b09_2 | conda-forge |
libbrotlienc | 1.1.0 | h2466b09_2 | conda-forge |
libcblas | 3.9.0 | 31_h5e41251_mkl | conda-forge |
libdeflate | 1.23 | h9062f6e_0 | conda-forge |
libexpat | 2.7.0 | he0c23c2_0 | conda-forge |
libffi | 3.4.6 | h537db12_1 | conda-forge |
libgcc | 14.2.0 | h1383e82_2 | conda-forge |
libgomp | 14.2.0 | h1383e82_2 | conda-forge |
libhwloc | 2.11.2 | default_ha69328c_1001 | conda-forge |
libiconv | 1.18 | h135ad9c_1 | conda-forge |
libjpeg-turbo | 3.0.0 | hcfcfb64_1 | conda-forge |
liblapack | 3.9.0 | 31_h1aa476e_mkl | conda-forge |
liblzma | 5.8.1 | h2466b09_0 | conda-forge |
libmpdec | 4.0.0 | h2466b09_0 | conda-forge |
libpng | 1.6.47 | had7236b_0 | conda-forge |
libsodium | 1.0.20 | hc70643c_0 | conda-forge |
libsqlite | 3.49.1 | h67fdade_2 | conda-forge |
libtiff | 4.7.0 | h797046b_3 | conda-forge |
libwebp-base | 1.5.0 | h3b0e114_0 | conda-forge |
libwinpthread | 12.0.0.r4.gg4f2fc60ca | h57928b3_9 | conda-forge |
libxcb | 1.17.0 | h0e4246cáj |
if you more env set up thread