https://leviathanion.github.io/tags/%E8%BD%AF%E4%BB%B6%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/ Recent content in 软件使用教程 on loveLZZ的个人博客 Hugo zh-CN Tue, 09 May 2023 09:34:28 +0800 https://leviathanion.github.io/conda%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/ Tue, 09 May 2023 09:34:28 +0800 https://leviathanion.github.io/conda%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/ <h1 id="conda使用教程">Conda使用教程</h1> <h2 id="安装">安装</h2> <h3 id="windows">Windows</h3> <ul> <li>官网下载<code>exe</code>文件，直接安装</li> </ul> <h3 id="linux">Linux</h3> <ul> <li>下载<code>.sh</code>文件</li> <li>授权<code>chmod +x Miniconda3-latest-Linux-x86_64.sh</code></li> <li>运行<code>./Miniconda3-latest-Linux-x86_64.sh</code></li> </ul> <h3 id="macos">MacOS</h3> <ul> <li>Miniconda <ul> <li>下载<code>.sh</code>文件</li> <li>运行<code>./Miniconda3-latest-Linux-x86_64.sh</code></li> </ul> </li> <li>Anaconda <ul> <li>官网下载<code>pkg</code>文件，直接安装</li> </ul> </li> </ul> <h2 id="创建conda环境">创建Conda环境</h2> <ul> <li>在默认位置创建Python环境：<code>conda create -n/--name &lt;env_name&gt; python=&lt;version&gt; </code></li> <li>在指定位置创建Python环境：<code>conda create -p /path/to/file python=&lt;version&gt; </code></li> </ul> <h2 id="查看环境">查看环境</h2> <ul> <li>查看所有环境：<code>conda env list </code></li> </ul> <h2 id="切换环境">切换环境</h2> <ul> <li>切换环境：<code>conda activate &lt;env_name&gt;</code></li> <li>退出环境：<code>conda deactivate</code></li> </ul> <h2 id="删除环境或依赖">删除环境或依赖</h2> <ul> <li>删除环境：<code>conda remove -n/--name &lt;env_name&gt; --all</code></li> <li>删除依赖：<code>conda remove -n/--name &lt;env_name&gt; &lt;package_name&gt;</code></li> </ul> <h2 id="导出和导入环境">导出和导入环境</h2> <ul> <li>导出环境：<code>conda list --explicit &gt; /path/to/file</code></li> <li>导入环境：<code>conda install --file /path/to/file</code></li> </ul> <h2 id="查看已安装依赖">查看已安装依赖</h2> <ul> <li>查看所有依赖：<code>conda list</code></li> <li>查看单个依赖：<code>conda list -n &lt;package_name&gt;</code></li> </ul> <h2 id="搜索依赖">搜索依赖</h2> <ul> <li>搜索依赖：<code>conda search &lt;package_name&gt;</code></li> </ul> <h2 id="安装依赖">安装依赖</h2> <ul> <li>（已激活环境）安装依赖：<code>conda install &lt;package_name&gt;</code></li> <li>（未激活环境）安装依赖：<code>conda install -n/--name &lt;env_name&gt; &lt;package_name&gt;</code></li> </ul> <h2 id="更换镜像源">更换镜像源</h2> <h3 id="编辑condarc文件">编辑<code>.condarc</code>文件</h3> <ul> <li>阿里源</li> </ul> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt"> 1 </span><span class="lnt"> 2 </span><span class="lnt"> 3 </span><span class="lnt"> 4 </span><span class="lnt"> 5 </span><span class="lnt"> 6 </span><span class="lnt"> 7 </span><span class="lnt"> 8 </span><span class="lnt"> 9 </span><span class="lnt">10 </span><span class="lnt">11 </span><span class="lnt">12 </span><span class="lnt">13 </span><span class="lnt">14 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-fallback" data-lang="fallback"><span class="line"><span class="cl">channels: </span></span><span class="line"><span class="cl"> - defaults </span></span><span class="line"><span class="cl">show_channel_urls: true </span></span><span class="line"><span class="cl">default_channels: </span></span><span class="line"><span class="cl"> - http://mirrors.aliyun.com/anaconda/pkgs/main </span></span><span class="line"><span class="cl"> - http://mirrors.aliyun.com/anaconda/pkgs/r </span></span><span class="line"><span class="cl"> - http://mirrors.aliyun.com/anaconda/pkgs/msys2 </span></span><span class="line"><span class="cl">custom_channels: </span></span><span class="line"><span class="cl"> conda-forge: http://mirrors.aliyun.com/anaconda/cloud </span></span><span class="line"><span class="cl"> msys2: http://mirrors.aliyun.com/anaconda/cloud </span></span><span class="line"><span class="cl"> bioconda: http://mirrors.aliyun.com/anaconda/cloud </span></span><span class="line"><span class="cl"> menpo: http://mirrors.aliyun.com/anaconda/cloud </span></span><span class="line"><span class="cl"> pytorch: http://mirrors.aliyun.com/anaconda/cloud </span></span><span class="line"><span class="cl"> simpleitk: http://mirrors.aliyun.com/anaconda/cloud </span></span></code></pre></td></tr></table> </div> </div><ul> <li>清华源</li> </ul> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt"> 1 </span><span class="lnt"> 2 </span><span class="lnt"> 3 </span><span class="lnt"> 4 </span><span class="lnt"> 5 </span><span class="lnt"> 6 </span><span class="lnt"> 7 </span><span class="lnt"> 8 </span><span class="lnt"> 9 </span><span class="lnt">10 </span><span class="lnt">11 </span><span class="lnt">12 </span><span class="lnt">13 </span><span class="lnt">14 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-fallback" data-lang="fallback"><span class="line"><span class="cl">channels: </span></span><span class="line"><span class="cl"> - defaults </span></span><span class="line"><span class="cl">show_channel_urls: true </span></span><span class="line"><span class="cl">default_channels: </span></span><span class="line"><span class="cl"> - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main </span></span><span class="line"><span class="cl"> - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r </span></span><span class="line"><span class="cl"> - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 </span></span><span class="line"><span class="cl">custom_channels: </span></span><span class="line"><span class="cl"> conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud </span></span><span class="line"><span class="cl"> msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud </span></span><span class="line"><span class="cl"> bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud </span></span><span class="line"><span class="cl"> menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud </span></span><span class="line"><span class="cl"> pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud </span></span><span class="line"><span class="cl"> simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud </span></span></code></pre></td></tr></table> </div> </div><h3 id="命令行配置">命令行配置</h3> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span><span class="lnt">2 </span><span class="lnt">3 </span><span class="lnt">4 </span><span class="lnt">5 </span><span class="lnt">6 </span><span class="lnt">7 </span><span class="lnt">8 </span><span class="lnt">9 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-fallback" data-lang="fallback"><span class="line"><span class="cl">#查看当前conda配置 </span></span><span class="line"><span class="cl">conda config --show channels </span></span><span class="line"><span class="cl">conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ </span></span><span class="line"><span class="cl">conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ </span></span><span class="line"><span class="cl">conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud//pytorch/ </span></span><span class="line"><span class="cl">conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/ </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl">#设置搜索是显示通道地址 </span></span><span class="line"><span class="cl">conda config --set show_channel_urls yes </span></span></code></pre></td></tr></table> </div> </div><h2 id="默认不进入conda环境">默认不进入conda环境</h2> <h3 id="命令行">命令行</h3> <ul> <li>运行命令：<code>conda config --set auto_activate_base false</code></li> </ul> <h3 id="更改配置文件">更改配置文件</h3> <ul> <li>修改<code>.bashrc</code>或者<code>.zshrc</code></li> </ul> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span><span class="lnt">2 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-gdscript3" data-lang="gdscript3"><span class="line"><span class="cl"><span class="c1"># export PATH=&#34;~/anaconda/bin:$PATH&#34;</span> </span></span><span class="line"><span class="cl"><span class="k">export</span> <span class="n">PATH</span><span class="o">=</span><span class="s2">&#34;$PATH：~/anaconda/bin&#34;</span> </span></span></code></pre></td></tr></table> </div> </div> https://leviathanion.github.io/docker%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/ Sat, 29 Apr 2023 11:03:25 +0800 https://leviathanion.github.io/docker%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/ <h1 id="docker使用教程">Docker使用教程</h1> <h2 id="docker架构">Docker架构</h2> <ul> <li>image(镜像)：可以看作是一个root文件系统，是对环境和软件的包装</li> <li>container(容器)：镜像类似于类，容器类似于实例</li> <li>repository(仓库)：镜像库</li> </ul> <h2 id="docker基本使用">Docker基本使用</h2> <h3 id="启动本地dokcer软件">启动本地dokcer软件</h3> <ul> <li>sudo systemctl start docker</li> </ul> <h3 id="通用">通用</h3> <ul> <li>查看所占空间<code>docker system df</code></li> </ul> <h3 id="repository使用">repository使用</h3> <ul> <li>获取image<code>docker pull [选项] [仓库地址[:端口号]/仓库名[:标签]]</code> <ul> <li>不加仓库地址，默认为docker hub</li> </ul> </li> </ul> <h3 id="image管理">image管理</h3> <ul> <li>列出本机的image文件:<code>docker image ls</code></li> <li>根据容器生成image文件:<code>docker commit [选项] &lt;容器名ID或容器名&gt; [&lt;仓库名&gt;[:&lt;标签&gt;]]</code></li> <li>删除本机的image文件:<code>docker image rm [imageName]</code></li> <li>删除所有处于停止状态的image:<code>docker image prune</code></li> </ul> <h3 id="container管理">container管理</h3> <h4 id="文件管理">文件管理</h4> <ul> <li>列出本机运行的container文件:<code>docker container ls</code></li> <li>列出本机所有的container文件:<code>docker container ls --all</code></li> <li>导出容器:<code>docker export &lt;containerID&gt; &gt; *.tar</code></li> <li>导入容器:<code>docker import *.tar &lt;镜像名&gt;:&lt;标签&gt;</code></li> <li>删除本机的container文件:<code>docker container rm &lt;containerID&gt;</code></li> <li>清理所有处于停止状态的容器:<code>docker container prune</code></li> </ul> <h4 id="运行管理">运行管理</h4> <ul> <li>启动容器:<code>docker run [选项] [imageName] [sh终端]</code> <ul> <li>选项可以省略</li> <li><code>-p 本地端口号：docker端口号</code>端口映射</li> <li><code>-d</code>后台运行不进入</li> <li><code>-i</code>是允许交互式操作</li> <li><code>-t</code>是终端</li> </ul> </li> <li>进入容器:<code>docker exec -it &lt;容器名/id&gt; [sh终端]</code></li> <li>终止容器:<code>docker container stop &lt;容器名/id&gt;</code></li> <li>启动已终止容器:<code>docker container start &lt;容器名/id&gt;</code></li> <li>重启容器:<code>docker container restart &lt;容器名/id&gt;</code></li> </ul> <h3 id="网络管理">网络管理</h3> <h4 id="概述">概述</h4> <p>Docker容器的网络允许容器间、容器与宿主机、以及容器与外部网络的通信。 Docker默认提供几种网络模式：bridge（桥接模式）、host（主机模式）、none（无网络）和overlay（覆盖网络）。</p> https://leviathanion.github.io/tmux%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/ Tue, 05 Jul 2022 11:27:28 +0800 https://leviathanion.github.io/tmux%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/ <h1 id="tmux使用教程">Tmux使用教程</h1> <h2 id="会话管理">会话管理</h2> <ul> <li>新建会话<code>tmux new -s &lt;session-name&gt;</code></li> <li>列出所有会话<code>tmux ls</code>或者<code>Ctrl+b s</code></li> <li>退出会话<code>tmux detach</code>或者<code>Ctrl+b d</code></li> <li>接入会话<code>tmux attach -t &lt;编号&gt;/&lt;session-name&gt;</code></li> <li>杀死对话<code>tmux kill-session -t &lt;编号&gt;/&lt;session-name&gt;</code></li> <li>切换会话<code>tmux switch -t &lt;编号&gt;/&lt;session-name&gt;</code></li> <li>重命名会话<code>tmux rename-session -t &lt;编号&gt;/&lt;session-name&gt;</code>或者<code>Ctrl+b $</code></li> </ul> <h2 id="窗口管理">窗口管理</h2> <ul> <li>创建一个新的窗口<code>Ctrl+b c</code></li> <li>列出所有窗口<code>Ctrl+b w</code></li> <li>重命名当前窗口<code>Ctrl+b ,</code></li> </ul> <h2 id="窗格管理">窗格管理</h2> <ul> <li>划分左右两个窗格<code>Ctrl+b %</code></li> <li>划分上下两个窗格<code>Ctrl+b &quot;</code></li> <li>移动窗格<code>Ctrl+b 方向键</code></li> <li>关闭当前窗格<code>Ctrl+b x</code></li> <li>调整窗格大小<code>Ctrl+b Ctrl+方向键</code></li> </ul> <h2 id="使用技巧">使用技巧</h2> <ul> <li>鼠标支持<code>Ctrl + b :set mouse on</code></li> </ul>