• windows 11
• wsl2
• Ubuntu 24.04.1 LTS Installer.exe
• rust-1.88.0-x86_64-unknown-linux-gnu.tar.xz
• evcxr_jupyter-v0.20.0-x86_64-unknown-linux-gnu.tar.gz
• Miniconda3-py312_25.1.1-2-Linux-x86_64.sh

/etc/apt/sources.list配置鏡像源（最好先刪除sources.list.d的官方源在apt update）

deb https://mirrors.aliyun.com/ubuntu/ noble main restricted universe multiverse
deb-src https://mirrors.aliyun.com/ubuntu/ noble main restricted universe multiversedeb https://mirrors.aliyun.com/ubuntu/ noble-security main restricted universe multiverse
deb-src https://mirrors.aliyun.com/ubuntu/ noble-security main restricted universe multiversedeb https://mirrors.aliyun.com/ubuntu/ noble-updates main restricted universe multiverse
deb-src https://mirrors.aliyun.com/ubuntu/ noble-updates main restricted universe multiverse# deb https://mirrors.aliyun.com/ubuntu/ noble-proposed main restricted universe multiverse
# deb-src https://mirrors.aliyun.com/ubuntu/ noble-proposed main restricted universe multiversedeb https://mirrors.aliyun.com/ubuntu/ noble-backports main restricted universe multiverse
deb-src https://mirrors.aliyun.com/ubuntu/ noble-backports main restricted universe multiverse

設置默認wsl子系統為Ubuntu24.04

wsl --set-default Ubuntu-24.04

安裝miniconda

chmod +x Miniconda3-py312_25.1.1-2-Linux-x86_64.sh
sh ./Miniconda3-py312_25.1.1-2-Linux-x86_64.sh

添加conda環境變量到.bashrc，并source .bashrc更新

# .bashrc里最末添加
# cmd里面wsl啟動默認Ubuntu24.04時切到根目錄
cd ~
export PATH="~/miniconda3/bin:$PATH"
# 啟動wsl時自動切到下一步創建的虛擬環境
conda activate rustenv

創建conda虛擬環境

conda init
conda create -n rustenv python=3.12
conda activate rustenv

安裝Jupyter lab

conda install -c conda-forge jupyterlab

或者使用國內源

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --set show_channel_urls yes
conda install -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main jupyterlab

完全解壓到根路徑然后安裝rust

sh ./rust-1.88.0-x86_64-unknown-linux-gnu/install.sh

添加cargo環境變量到.bashrc

export PATH="~/.cargo/bin:$PATH"

完全解壓并安裝evcxr_jupyter

evcxr_jupyter --install

運行jupyter lab并選擇rust后臺

jupyter lab --allow-root

如果rust kernel起不來，嘗試安裝cc環境

apt install build-essential

pip安裝的清華源

export PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple

效果

補充（cargo的國內源，不一定有用，最方便的還是下載離線包安裝）

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由于國內拉取 crates.io 以及安裝 Rust 會面臨流量出境不穩定的問題，我們提供了一個國內鏡像代理以幫助國內 Rust 生態發展，歡迎大家使用。

配置說明

步驟一：設置 Rustup 鏡像， 修改配置 ~/.zshrc or ~/.bashrc

export RUSTUP_DIST_SERVER="https://rsproxy.cn"
export RUSTUP_UPDATE_ROOT="https://rsproxy.cn/rustup"

步驟二：安裝 Rust（請先完成步驟一的環境變量導入并 source rc 文件或重啟終端生效）

curl --proto '=https' --tlsv1.2 -sSf https://rsproxy.cn/rustup-init.sh | sh

步驟三：設置 crates.io 鏡像， 修改配置 ~/.cargo/config，已支持git協議和sparse協議，>=1.68 版本建議使用 sparse-index，速度更快。

sparse

rsproxy

[source.crates-io]
replace-with = 'rsproxy-sparse'
[source.rsproxy]
registry = "https://rsproxy.cn/crates.io-index"
[source.rsproxy-sparse]
registry = "sparse+https://rsproxy.cn/index/"
[registries.rsproxy]
index = "https://rsproxy.cn/crates.io-index"
[net]
git-fetch-with-cli = true

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