FastAI

conda install -c conda-forge opencv

conda install python-graphviz

conda install -c creditx sklearn_pandas

# Install Python-3.6 and its development bundle on Ubuntu-16.04

sudo add-apt-repository ppa:jonathonf/python-3.6

sudo apt-get update

sudo apt-get install python3.6

sudo apt-get install python3.6-dev

# Install Python-3.7 on Ubuntu-16.04 (can be trigger by apt install python3.7-venv)

sudo apt-get install python3.7

# Make python3 use python3.6 as default.

sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.5 1

sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.6 2

sudo update-alternatives --config python3

# Create virtual environments for a specific python3 version. (python3.6 as an example)

pip install virtualenv

sudo apt install python3.6-venv

virtualenv --python=python3.6 py36

# Requirement for fastai

bottleneck

dataclasses ; python_version<'3.7'

fastprogress>=0.1.19

beautifulsoup4

matplotlib

numexpr

numpy>=1.15

nvidia-ml-py3

pandas

packaging

Pillow

pyyaml

pynvx>=1.0.0 ; platform_system=="Darwin"

requests

scipy

torch>=1.0.0

typing

spacy

torchvision

# Resolving dependency on python3-tk

sudo apt-get install python3.6-tk

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