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‎index.html

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<body>
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<header>
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<h1>个人自用常见网站</h1>
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<p>从各大网站自己复制粘贴过来的</p>
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<h1>Python自用常见网站</h1>
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</header>
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<section class="intro">
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<p>这是我从各大网站复制粘贴过来的，包括但不限于
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<a href="https://www.python.org/" target="_blank">python</a>,
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<a href="https://docs.anaconda.com/free/miniconda/index.html" target="_blank">Miniconda</a>,
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<a href="https://mirrors.tuna.tsinghua.edu.cn/help/anaconda/" target="_blank">清华大学镜像站</a>,
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<a href="https://developer.nvidia.com/cuda-toolkit-archive" target="_blank">Cuda</a>,
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<a href="https://developer.nvidia.com/rdp/cudnn-archive" target="_blank">Cudnn</a>,
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<a href="https://pytorch.org/get-started/locally/" target="_blank">torch</a>,
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<a href="https://www.tensorflow.org/install/pip" target="_blank">tensorflow</a>
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</p>
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</section>
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<h2>快速下载</h2>
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<section class="links-grid">
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<div class="grid-item">
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<a href="https://repo.anaconda.com/miniconda/Miniconda3-py312_24.1.2-0-Windows-x86_64.exe"
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target="_blank">Cuda 12.1</a>
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</div>
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</section>
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<div class="conda-config-wrapper">
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<section class="conda-config">
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<h3>配置 Pip 镜像源</h3>
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<pre class="copyable">
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<div class="command-detail">
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<div class="command-detail-left">
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<section>
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<h3>配置 Pip 镜像源</h3>
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<pre class="copyable">
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pip config set global.index-url https://mirrors.bfsu.edu.cn/pypi/web/simple</pre>
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<h3>配置 Conda 镜像源</h3>
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<p>Windows用户需要手动执行</p>
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<pre class="copyable">conda config --set show_channel_urls yes</pre>
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<pre class="copyable">
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<h3>配置 Conda 镜像源</h3>
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<p>Windows用户需要手动执行</p>
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<pre class="copyable">conda config --set show_channel_urls yes</pre>
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<pre class="copyable">
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channels:
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- defaults
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show_channel_urls: true
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pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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deepmodeling: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/</pre>
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<p>pytorch + cuda12.1</p>
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<pre class="copyable">
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<p>pytorch + cuda12.1</p>
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<pre class="copyable">
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conda install pytorch=2.2.1 pytorch-cuda=12.1 torchvision torchaudio -c nvidia</pre>
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<p>Tensorflow + cuda12.1</p>
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<pre class="copyable">
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<p>Tensorflow + cuda12.1</p>
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<pre class="copyable">
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pip install tensorflow[and-cuda]
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# Verify the installation:
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python -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"</pre>
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<p>Tensorflow + cpu</p>
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<pre class="copyable">
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<p>Tensorflow + cpu</p>
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<pre class="copyable">
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# Anything above 2.10 is not supported on the GPU on Windows Native
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python -m pip install "tensorflow<2.11" </pre>
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</section>
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</section>
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</div>
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<div class="command-detail-right">
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</div>
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</div>
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‎style.css

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}
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/* 使用 Flexbox 布局将 .conda-config-wrapper 分为左右两部分 */
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.conda-config-wrapper {
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/* 使用 Flexbox 布局将 .command-detail 分为左右两部分 */
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.command-detail {
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display: flex;
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flex-direction: row; /* 横向排列 */
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flex-direction: row;
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/* 横向排列 */
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width: 100%;
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/* 设置宽度为100%，即占据整个浏览器窗口的宽度 */
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box-sizing: border-box;
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/* 确保宽度包含padding和border */
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/* 横向排列 */
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}
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/* 左边部分占据固定的宽度 */
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.conda-config {
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flex: 0 0 50%; /* 占据 50% 的宽度 */
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.command-detail-left {
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flex: 0 0 50%;
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/* 占据 50% 的宽度 */
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}
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/* 右边部分占据 50% 的宽度 */
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.conda-config1 {
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flex: 0 0 50%; /* 占据 50% 的宽度 */
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.command-detail-right {
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flex: 0 0 50%;
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/* 占据 50% 的宽度 */
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}
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h2 {
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text-align: center;
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}
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border: 1px solid #ddd;
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}
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section h2 {
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section {
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margin-top: 0;
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}
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