Summary

This webpage provides a comprehensive guide on installing and managing multiple Python versions using Pyenv in Windows Subsystem for Linux 2 (WSL2).

Abstract

The article featured on the website offers a detailed tutorial on how to effectively install and manage multiple versions of Python within the Windows Subsystem for Linux 2 environment. It covers the entire process from downloading and configuring Pyenv, a Python version management tool, to installing various Python versions, setting global and local defaults, and creating virtual environments. The guide is designed to assist users in setting up their systems for artificial intelligence-related tasks, ensuring compatibility with different projects requiring diverse Python versions. It also emphasizes the importance of streamlined Python version management for artificial intelligence and machine learning development.

Opinions

The author believes that managing multiple Python versions is essential for AI and ML developers, as it allows for flexibility and compatibility across different projects.
The tutorial is presented as user-friendly and straightforward, with step-by-step instructions aimed at facilitating an easy setup process.
The inclusion of an appendix with additional tutorials on AI setup, course content, and state-of-the-art AI repositories suggests the author's commitment to providing a comprehensive resource for learners and practitioners in the field of AI.
The recommendation to subscribe and engage with the content indicates the author's desire to foster a community of regular followers and to provide ongoing support and updates.
The guide's focus on WSL2 implies that the author endorses this platform for Python development in a Windows environment, highlighting its advantages for AI and ML tasks.

PROGRAMMING:

How to Install and Manage Multiple Python Versions in WSL2

Nice and easy tutorials with step-by-step instructions

Summary:

This article installs and manages multiple python versions in Windows Subsystem for Linux 2. It downloads, installs, and configures Pyenv. It displays all the python versions and installs the latest versions. It sets the default version for the computer and current directory. It also creates the virtual environment using the default version in the current directory.

Appendix:

Tutorials: Artificial Intelligence Set Up
Tutorials: Artificial Intelligence Course
Tutorials: Artificial Intelligence Repositories

Install the Pyenv Repository:

This section downloads, installs and configures Pyenv.

# open powershell
1. press “⊞ windows”
2. enter “powershell” into the search bar
3. right-click "windows powershell"
4. click “run as administrator”

# open wsl
wsl

# update the source list and source list directory
sudo apt-get update --yes

# install git to download repositories from GitHub
sudo apt-get install --yes git

# install the pyenv dependencies
sudo apt-get install --yes libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev llvm libncurses5-dev libncursesw5-dev xz-utils tk-dev libgdbm-dev lzma lzma-dev tcl-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev wget curl make build-essential python-openssl

# download the pyenv repository to the home directory
git clone https://github.com/pyenv/pyenv.git ~/.pyenv

# add pyenv to the bash configuration file
echo -e "\n\n# pyenv environment variables\nexport PYENV_ROOT=\"\$HOME/.pyenv\"\nexport PATH=\"\$PYENV_ROOT/bin:\$PATH\"\n\n# pyenv initialization\nif command -v pyenv 1>/dev/null 2>&1; then\n  eval \"\$(pyenv init --path)\"\nfi\n\n" >> ~/.bashrc

# restart wsl
exec $SHELL

Install the Python Versions:

This section displays all the python versions and installs the latest versions.

# view the available python versions
pyenv install --list

# install python 3.5
pyenv install 3.5.4

# install python 3.6
pyenv install 3.6.8

# install python 3.7
pyenv install 3.7.9

# install python 3.8
pyenv install 3.8.6

# install python 3.9
pyenv install 3.9.0

Set the Global Default Version:

This section sets the default version of python for the computer.

# set the default version
pyenv global 3.8.6

# check the default version
python --version

# check the executable file
which python

Set the Local Default Version:

This section sets the default version of python for the current directory.

# open the home directory
cd $HOME

# make temporary directory
mkdir temporary

# open the temporary directory
cd temporary

# set the default version for the temporary directory
pyenv local python3.6.8

# notice the default version has changed
python --version

# notice the executable file has changed
which python

Create the Virtual Environment:

This section creates the virtual environment using the default version.

# create the virtual environment using the default version
python -m venv venv36

# activate the virtual environment
source ./venv36/bin/activate

# notice the default version is the same
python --version

# notice the different executable file
which python

# deactivate the virtual environment
deactivate

“Lastly, remember to subscribe and hold down the clap button to get regular updates and help out.”

Appendix:

This blog exists to provide complete solutions, answer your questions, and accelerate your progress related to artificial intelligence. It has everything you need to set up your computer and complete the first half of the fastai course. It will expose you to state-of-the-art repositories in the subfields of artificial intelligence. It will also cover the second half of the fastai course.

Tutorials: Artificial Intelligence Set Up

This section provides everything that’s required to set up your computer.

# linux
01. install and manage multiple python versions
02. install the nvidia cuda driver, toolkit, cudnn, and tensorrt
03. install the jupyter notebook server
04. install virtual environments in jupyter notebook
05. install the python environment for ai and machine learning
06. install the fastai course requirements

# wsl 2
01. install windows subsystem for linux 2
02. install and manage multiple python versions
03. install the nvidia cuda driver, toolkit, cudnn, and tensorrt 
04. install the jupyter notebook home and public server
05. install virtual environments in jupyter notebook
06. install the python environment for ai and machine learning
07. install ubuntu desktop with a graphical user interface
08. install the fastai course requirements

# windows 10
01. install and manage multiple python versions
02. install the nvidia cuda driver, toolkit, cudnn, and tensorrt
03. install the jupyter notebook home and public server
04. install virtual environments in jupyter notebook
05. install the programming environment for ai and machine learning

# mac
01. install and manage multiple python versions
02. install the jupyter notebook server
03. install virtual environments in jupyter notebook
04. install the python environment for ai and machine learning
05. install the fastai course requirements

Tutorials: Artificial Intelligence Course

This section contains answers to the questionnaire at the end of each lesson.

# fastai course
01. chapter 1: your deep learning journey q&a
02. chapter 2: from model to production q&a
03. chapter 3: data ethics q&a
04. chapter 4: under the hood: training a digit classifier q&a
05. chapter 5: image classification q&a
06. chapter 6: other computer vision problems q&a
07. chapter 7: training a state-of-the-art model q&a
08. chapter 8: collaborative filtering deep dive q&a

Tutorials: Artificial Intelligence Repositories

This section contains state-of-the-art repositories in the different subfields.

# repositories related to audio
01. raise audio quality using nu-wave
02. change voices using maskcyclegan-vc
03. clone voices using real-time-voice-cloning toolbox

# repositories related to images
01. achieve 90% accuracy using facedetection-dsfd

PROGRAMMING:

How to Install and Manage Multiple Python Versions in WSL2

Nice and easy tutorials with step-by-step instructions

Summary:

Table of Contents:

Appendix:

Install the Pyenv Repository:

Install the Python Versions:

Set the Global Default Version:

Set the Local Default Version:

Create the Virtual Environment:

Appendix:

Tutorials: Artificial Intelligence Set Up

Tutorials: Artificial Intelligence Course

Tutorials: Artificial Intelligence Repositories