Ubuntu18.04.05 Creating a python virtual environment in LTS

Created a virtual environment on Ubuntu without using Anaconda.

environment

Ubuntu18.04.05 LTS python:3.6.9


Virtual environment construction

① Update

$sudo apt-get update
$sudo apt-get upgrade
$sudo reboot

② Install venv

$sudo apt install python3-venv

venv: Tools required to build a virtual environment. It seems that Python 3.3 or later is required.


③ Create a virtual environment

#First, create a directory to create a virtual environment.
$mkdir test_env
$cd test_env

mkdir test_env Screenshot from 2020-12-18 13-31-24 (2).png Move to the directory created by $ cd test_env.


$python -m venv tensorflow

Create a directory for the virtual environment with the name "tensorflow".

Screenshot from 2020-12-18 13-31-37 (2).png

The contents are

Screenshot from 2020-12-18 13-45-19 (3).png

This completes the virtual environment.


  1. Enter the virtual environment
$source test_env/tensorflow/bin/activate

Now it acts as a virtual environment. I created a test_env directory in my home for the virtual environment Furthermore, it is long because it is created as tensorflow under it.

If you created it in your home directory, put it in the environment with source tensorflow/bin/activate.

Screenshot from 2020-12-18 15-35-26.png Screenshot from 2020-12-18 15-35-35.png

In a virtual environment

(tensorflow)[email protected]~$pip3 install numpy
(tensorflow)[email protected]~$pip3 install tensorflow-gpu==1.14
(tensorflow)[email protected]~$pip3 install matplotlob

All you have to do is install and so on. However, only pip3 install opencv-python throws an error and does not work. It hurts to forget to copy the error As a result, pip was old and spit out that it didn't have the required modules.

pip3 install -U pip 

I typed this in and upgraded and it was OK.

After that

pip3 install opencv-python==3.4.11.45

I was able to install it by typing.

I specified the version because I was afraid of problems with the opencv4 system.

For the time being, I managed to get there.

④ Make the virtual environment usable with Jupyter etc.

In a virtual environment

(tensorflow)[email protected]~$pip install ipykernel

#After install
(tensorflow)[email protected]~$ipython kernel install --user --name=tensorflow

Screenshot from 2020-12-18 16-04-53 (2).png Screenshot from 2020-12-18 16-05-53 (2).png

This will allow you to select the kernel in the jupyter notebook.

Screenshot from 2020-12-18 16-06-34 (2).png

Well, I'm trying various things.

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