使用 Miniconda 管理 Python 环境

CYRUS-STUDIO · Jan 24, 2025 · 72a6c4d · 72a6c4d
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diff --git a/content/posts/使用 Miniconda 管理 Python 环境.md b/content/posts/使用 Miniconda 管理 Python 环境.md
diff --git a/public/index.html b/public/index.html
@@ -54,6 +54,23 @@
     <h1>CYRUS STUDIO</h1>
     <ul class="posts-list">
 
+        <li class="posts-list-item">
+          <a class="posts-list-item-title" href="https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8-miniconda-%E7%AE%A1%E7%90%86-python-%E7%8E%AF%E5%A2%83/">使用 Miniconda 管理 Python 环境</a>
+          <span class="posts-list-item-description">
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+            Jan 25, 2025
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@@ -207,23 +224,6 @@ <h1>CYRUS STUDIO</h1>
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diff --git a/public/index.xml b/public/index.xml
@@ -6,8 +6,15 @@
     <description>Recent content on CYRUS STUDIO</description>
     <generator>Hugo</generator>
     <language>zh-cn</language>
-    <lastBuildDate>Mon, 13 Jan 2025 21:33:28 +0800</lastBuildDate>
+    <lastBuildDate>Sat, 25 Jan 2025 02:17:46 +0800</lastBuildDate>
     <atom:link href="https://cyrus-studio.github.io/blog/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>使用 Miniconda 管理 Python 环境</title>
+      <link>https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8-miniconda-%E7%AE%A1%E7%90%86-python-%E7%8E%AF%E5%A2%83/</link>
+      <pubDate>Sat, 25 Jan 2025 02:17:46 +0800</pubDate>
+      <guid>https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8-miniconda-%E7%AE%A1%E7%90%86-python-%E7%8E%AF%E5%A2%83/</guid>
+      <description>版权归作者所有，如有转发，请注明文章出处：https://cyrus-studio.github.io/blog/&#xA;Miniconda Miniconda 是 Conda 的简化版本，只包含 Conda 包管理器和 Python 的最小安装包，提供了一种轻量级的环境管理和包管理工具。相比于 Anaconda，Miniconda 更小巧灵活，适合那些不需要 Anaconda 提供的完整生态的用户。&#xA;通过 Miniconda，开发者可以更高效地管理和定制自己的开发环境，避免不必要的依赖和资源浪费。&#xA;下载安装 Miniconda：https://docs.anaconda.com/miniconda/&#xA;把 Miniconda3 和 Miniconda3\Scripts 路径添加到 Path 系统环境变量&#xA;完成安装后，打开终端或命令提示符，输入&#xA;conda --version&#xD;python --version 如果显示版本号，说明安装成功。&#xA;创建环境 创建一个新的虚拟环境，指定特定版本的 Python&#xA;conda create -n anti-app python=3.12.6 列出当前可用的 Python 版本&#xA;conda search python 克隆环境 现有环境复制到新的环境&#xA;conda create --name new_env --clone old_env 删除环境 conda remove --name old_env --all 列出所有环境 conda env list 激活环境 conda activate env_name 停用当前环境 conda deactivate 导出当前环境 conda env export &amp;gt; environment.</description>
+    </item>
     <item>
       <title>Android Dex VMP 动态加载加密指令流 </title>
       <link>https://cyrus-studio.github.io/blog/posts/android-dex-vmp-%E5%8A%A8%E6%80%81%E5%8A%A0%E8%BD%BD%E5%8A%A0%E5%AF%86%E6%8C%87%E4%BB%A4%E6%B5%81-/</link>
@@ -148,13 +155,6 @@
       <guid>https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8-jnitrace-%E5%88%86%E6%9E%90-native-%E6%96%B9%E6%B3%95%E8%B0%83%E7%94%A8%E8%BF%87%E7%A8%8B/</guid>
       <description>版权归作者所有，如有转发，请注明文章出处：https://cyrus-studio.github.io/blog/&#xA;jnitrace jnitrace 可以动态跟踪 Java 层通过 JNI 接口调用 native 层（C/C++）代码的过程。它会记录并显示每一个 JNI 函数的调用，包括方法签名、参数、返回值等详细信息。&#xA;项目地址：https://github.com/chame1eon/jnitrace&#xA;安装 jnitrace jnitrace 的使用依赖于 Frida。在使用 jnitrace 之前，需要确保 Frida 和 Python 环境已安装。可以参考下面两篇文章：&#xA;使用 Frida Hook Android App&#xA;使用Miniconda管理Python环境&#xA;通过下面的命令安装 jnitrace&#xA;pip install jnitrace 解决 frida.NotSupportedError 运行 jnitrace 报错如下&#xA;jnitrace -l libnative-lib.so com.cyrus.exammple&#xD;Traceback (most recent call last):&#xD;File &amp;#34;D:\App\Miniconda3\envs\anti-app\lib\runpy.py&amp;#34;, line 194, in _run_module_as_main&#xD;return _run_code(code, main_globals, None,&#xD;File &amp;#34;D:\App\Miniconda3\envs\anti-app\lib\runpy.py&amp;#34;, line 87, in _run_code&#xD;exec(code, run_globals)&#xD;File &amp;#34;D:\App\Miniconda3\envs\anti-app\Scripts\jnitrace.exe\__main__.py&amp;#34;, line 7, in \&amp;lt;module&amp;gt;&#xD;File &amp;#34;D:\App\Miniconda3\envs\anti-app\lib\site-packages\jnitrace\jnitrace.</description>
     </item>
-    <item>
-      <title>使用Miniconda管理Python环境</title>
-      <link>https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8miniconda%E7%AE%A1%E7%90%86python%E7%8E%AF%E5%A2%83/</link>
-      <pubDate>Sun, 27 Oct 2024 21:06:25 +0800</pubDate>
-      <guid>https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8miniconda%E7%AE%A1%E7%90%86python%E7%8E%AF%E5%A2%83/</guid>
-      <description>版权归作者所有，如有转发，请注明文章出处：https://cyrus-studio.github.io/blog/&#xA;Miniconda Miniconda 是 Conda 的简化版本，只包含 Conda 包管理器和 Python 的最小安装包，提供了一种轻量级的环境管理和包管理工具。相比于 Anaconda，Miniconda 更小巧灵活，适合那些不需要 Anaconda 提供的完整生态的用户。&#xA;通过 Miniconda，开发者可以更高效地管理和定制自己的开发环境，避免不必要的依赖和资源浪费。&#xA;下载安装 Miniconda：https://docs.anaconda.com/miniconda/&#xA;把 Miniconda3 和 Miniconda3\Scripts 路径添加到 Path 系统环境变量 完成安装后，打开终端或命令提示符，输入&#xA;conda --version&#xD;python --version 如果显示版本号，说明安装成功。&#xA;创建环境 创建一个新的虚拟环境，指定特定版本的 Python&#xA;conda create -n anti-app python=3.12.6 列出当前可用的 Python 版本&#xA;conda search python 克隆环境 现有环境复制到新的环境&#xA;conda create --name new_env --clone old_env 删除环境 conda remove --name old_env --all 列出所有环境 conda env list 激活环境 conda activate env_name 停用当前环境 conda deactivate 导出当前环境 conda env export &amp;gt; environment.</description>
-    </item>
     <item>
       <title>使用 IDA Tracing 动态跟踪 JNI 方法执行过程</title>
       <link>https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8-ida-tracing-%E5%8A%A8%E6%80%81%E8%B7%9F%E8%B8%AA-jni-%E6%96%B9%E6%B3%95%E6%89%A7%E8%A1%8C%E8%BF%87%E7%A8%8B/</link>

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@@ -54,6 +54,23 @@
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+          <a class="posts-list-item-title" href="https://cyrus-studio.github.io/blog/posts/%E4%BD%BF%E7%94%A8-jnitrace-%E5%88%86%E6%9E%90-native-%E6%96%B9%E6%B3%95%E8%B0%83%E7%94%A8%E8%BF%87%E7%A8%8B/">使用 jnitrace 分析 native 方法调用过程</a>
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diff --git a/public/posts/index.html b/public/posts/index.html
@@ -54,6 +54,23 @@
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+            <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-calendar">
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@@ -207,23 +224,6 @@ <h1>Posts</h1>
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