-
Create a virtual environment called, e.g.,
my-env
:$ uv venv my-env
-
Install
ipykernel
into it:$ uv pip install -p my-env ipykernel
-
Register the kernel so it will show up in Jupyter:
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apt-get update | |
apt-get install -y apt-transport-https ca-certificates | |
apt-key adv \ | |
--keyserver hkp://ha.pool.sks-keyservers.net:80 \ | |
--recv-keys 58118E89F3A912897C070ADBF76221572C52609D | |
echo "deb https://apt.dockerproject.org/repo ubuntu-xenial main" | sudo tee /etc/apt/sources.list.d/docker.list | |
apt-get update | |
apt-get install -y linux-image-extra-$(uname -r) linux-image-extra-virtual | |
apt-get install -y docker-engine |
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sudo nano /lib/systemd/system/custom-boot.service | |
``` | |
[Unit] | |
Description=Custom Boot Script Service | |
After=multi-user.target | |
[Service] | |
Type=idle | |
ExecStart=/bin/bash /home/pi/boot.sh |
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ctrl_interface=DIR=/var/run/wpa_supplicant GROUP=netdev | |
update_config=1 | |
country=GB | |
network={ | |
ssid="<Name of your wireless LAN>" | |
psk="<Password for your wireless LAN>" | |
} |
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