开发配置

brew install --cask iterm2

brew install starship

echo 'eval "$(starship init zsh)"' >> ~/.zshrc

mkdir -p ~/.config
cd ~/.config
wget https://raw.githubusercontent.com/44maker/kaliinit/main/starship.toml
cd ~

brew install --cask kitty

brew install tmux

nano ~/.tmux.conf

mkdir ~/.tmux
nano ~/.tmux/layout1

# 配置邮箱 
git config --global user.email "xxxxx@xxx.com"

# 配置用户名
git config --global user.name "xxx"

brew install pyenv

echo 'eval "$(pyenv init -)"' >> ~/.zshrc

#当前版本
pyenv version
#查看已经安装的Python版本
pyenv versions

# shell 会话设置 只影响当前的shell会话
pyenv shell <python版本>
# 取消 shell 会话的设置
pyenv shell --unset
# local 本地设置 只影响所在文件夹
pyenv local <python版本>
# global 全局设置 一般不建议改变全局设置
pyenv global <python版本>

brew instal jenv

echo 'export PATH="$HOME/.jenv/bin:$PATH"' >> ~/.zshrc
echo 'eval "$(jenv init -)"' >> ~/.zshrc

#查看当前的 Java 版本
jenv version
#列出目前 jenv 所有可切换管理的版本
jenv versions

#手动添加本地的 Java Home 路径
jenv add /Library/Java/JavaVirtualMachines/jdk-20.jdk/Contents/Home/
jenv add /Library/Java/JavaVirtualMachines/jdk1.8.0_291.jdk/Contents/Home/
jenv add /Library/Java/JavaVirtualMachines/zulu-17.jdk/Contents/Home/

#global 全局设置 一般不建议改变全局设置
jenv global <java 版本>

#shell 会话设置 只影响当前的shell会话
jenv shell <java 版本>
#取消 shell 会话的设置
jenv shell --unset

#local 本地设置 只影响所在文件夹
jenv local <java 版本>

brew install --cask docker

brew install orbstack

docker context use orbstack

brew install --cask utm

cd Downloads
tar xvf xxx.ova

brew install qemu

qemu-img convert -O qcow2 xxx-disk001.vmdk xxx.qcow2

brew install --cask firefox

brew install --cask arc

brew install --cask electerm

brew install --cask insomnia

brew install --cask visual-studio-code

curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh
sh Miniconda3-latest-MacOSX-arm64.sh

Do you wish the installer to initialize Miniconda3 by running conda init? [yes|no]
[yes] >>>

conda config --set auto_activate_base False

conda activate base[虚拟环境名]

conda config --set auto_activate_base True

conda config --add channels conda-forge

conda config --set channel_priority true

conda config --set show_channel_urls true

conda config --add default_channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
conda config --set 'custom_channels.conda-forge' https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

conda install -n base conda-libmamba-solver
conda config --set solver libmamba

conda create -n py38 python=3.8

conda activate py38

conda env list 

deactivate 环境名字

conda remove -n 环境名字 --all

conda remove -n 环境名字 包名 

conda install -c apple tensorflow-deps
pip install tensorflow-macos
pip install tensorflow-metal

conda activate py38
python
import tensorflow as tf
print("tf version",tf.__version__)
print("tf gpu",tf.test.is_gpu_available())

conda install pytorch torchvision torchaudio -c pytorch-nightly

pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu

import torch
if torch.backends.mps.is_available():
    mps_device = torch.device("mps")
    x = torch.ones(1, device=mps_device)
    print (x)
else:
    print ("MPS device not found.")

pip install pandas matplotlib glob2 tqdm opencv-python scipy scikit-learn mlx