How To Setup Python3 in Ubuntu Docker Image for AI Deep Learning

The issue is that Docker images are stripped down, so many tools and even python3 is missing, so you'll have to build or update the actual image yourself.

I assume you have started an image with something like this and that you have the Nvidia Toolkit installed (assuming you are using GPUs).  If you're not using nvidia just remove --runtime=nvidia --gpus all.

docker run -it --runtime=nvidia --gpus all ubuntu bash

These works for most images like Ubuntu 20.04 22.04 etc..:

apt update;apt install python3-pip


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  gnupg-l10n gnupg-utils gpg gpg-agent gpg-wks-client gpg-wks-server gpgconf gpgsm javascript-common libalgorithm-diff-perl libalgorithm-diff-xs-perl libalgorithm-merge-perl libasan6 libassuan0 libatomic1
  libbinutils libbrotli1 libbsd0 libc-dev-bin libc-devtools libc6-dev libcc1-0 libcrypt-dev libctf-nobfd0 libctf0 libdeflate0 libdpkg-perl libexpat1 libexpat1-dev libfakeroot libfile-fcntllock-perl
  libfontconfig1 libfreetype6 libgcc-11-dev libgd3 libgdbm-compat4 libgdbm6 libgomp1 libisl23 libitm1 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-sphinxdoc libjs-underscore libksba8 libldap-2.5-0
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Install needed packages

To get started we just install tensorflow and torch.  You will need to adjust for whatever python libraries you need.

Install pytorch:

pip3 install torch matplotlib       
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Install Tensorflow:

pip3 install tensorflow       
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Collecting h5py>=2.9.0
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Collecting tensorflow-io-gcs-filesystem>=0.23.1
  Downloading tensorflow_io_gcs_filesystem-0.34.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.4 MB)
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Collecting flatbuffers>=23.5.26
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Collecting libclang>=13.0.0
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Collecting tensorflow-estimator<2.16,>=2.15.0
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Collecting gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1
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Collecting tensorboard<2.16,>=2.15
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Collecting grpcio<2.0,>=1.24.3
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Collecting ml-dtypes~=0.2.0
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Requirement already satisfied: six>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.16.0)
Collecting keras<2.16,>=2.15.0
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Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3
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Collecting google-auth-oauthlib<2,>=0.5
  Downloading google_auth_oauthlib-1.1.0-py2.py3-none-any.whl (19 kB)
Collecting tensorboard-data-server<0.8.0,>=0.7.0
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Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3
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Collecting werkzeug>=1.0.1
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Collecting markdown>=2.6.8
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Collecting requests<3,>=2.21.0
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Collecting google-auth<3,>=1.6.3
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Collecting cachetools<6.0,>=2.0.0
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Collecting rsa<5,>=3.1.4
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Collecting pyasn1-modules>=0.2.1
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Collecting requests-oauthlib>=0.7.0
  Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Collecting charset-normalizer<4,>=2
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Collecting certifi>=2017.4.17
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Collecting idna<4,>=2.5
  Downloading idna-3.4-py3-none-any.whl (61 kB)
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Collecting urllib3<3,>=1.21.1
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Collecting pyasn1<0.6.0,>=0.4.6
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Installing collected packages: libclang, flatbuffers, wrapt, werkzeug, urllib3, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, pyasn1, protobuf, opt-einsum, oauthlib, ml-dtypes, markdown, keras, idna, h5py, grpcio, google-pasta, gast, charset-normalizer, certifi, cachetools, astunparse, absl-py, rsa, requests, pyasn1-modules, requests-oauthlib, google-auth, google-auth-oauthlib, tensorboard, tensorflow
Successfully installed absl-py-2.0.0 astunparse-1.6.3 cachetools-5.3.2 certifi-2023.11.17 charset-normalizer-3.3.2 flatbuffers-23.5.26 gast-0.5.4 google-auth-2.23.4 google-auth-oauthlib-1.1.0 google-pasta-0.2.0 grpcio-1.59.3 h5py-3.10.0 idna-3.4 keras-2.15.0 libclang-16.0.6 markdown-3.5.1 ml-dtypes-0.2.0 oauthlib-3.2.2 opt-einsum-3.3.0 protobuf-4.23.4 pyasn1-0.5.0 pyasn1-modules-0.3.0 requests-2.31.0 requests-oauthlib-1.3.1 rsa-4.9 tensorboard-2.15.1 tensorboard-data-server-0.7.2 tensorflow-2.15.0 tensorflow-estimator-2.15.0 tensorflow-io-gcs-filesystem-0.34.0 termcolor-2.3.0 urllib3-2.1.0 werkzeug-3.0.1 wrapt-1.14.1
 

 


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