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        <title>Python - Tag - 程式狂想筆記</title>
        <link>https://malagege.github.io/blog/tags/python/</link>
        <description>Python - Tag - 程式狂想筆記</description>
        <generator>Hugo -- gohugo.io</generator><language>zh-tw</language><lastBuildDate>Sun, 26 Jul 2026 15:35:46 &#43;0800</lastBuildDate><atom:link href="https://malagege.github.io/blog/tags/python/" rel="self" type="application/rss+xml" /><item>
    <title>關掉 LLM 思考模式，加快 manga-image-translator 的翻譯速度</title>
    <link>https://malagege.github.io/blog/posts/disable-llm-thinking-mode-to-speed-up-manga-translation/</link>
    <pubDate>Sun, 26 Jul 2026 15:35:46 &#43;0800</pubDate>
    <author>malagege</author>
    <guid>https://malagege.github.io/blog/posts/disable-llm-thinking-mode-to-speed-up-manga-translation/</guid>
    <description><![CDATA[<h2 id="起因">起因</h2>
<p>之前用 manga-image-translator 翻譯漫畫時，模型每次回答前都會先「思考」一輪，導致單張圖從模型回應到產圖大約要 <strong>20 秒</strong>。</p>
<p>剛剛我直接從程式碼把思考模式關掉，模型 <strong>1～3 秒</strong>就能回傳翻譯，整張圖平均 <strong>7 秒</strong>（6～9 秒）翻完。</p>]]></description>
</item>
<item>
    <title>用 Manage Image Translator 翻譯漫畫</title>
    <link>https://malagege.github.io/blog/posts/manage-image-translator-comic-translation/</link>
    <pubDate>Thu, 25 Jun 2026 21:26:32 &#43;0800</pubDate>
    <author>malagege</author>
    <guid>https://malagege.github.io/blog/posts/manage-image-translator-comic-translation/</guid>
    <description><![CDATA[<p>這篇整理我實際測過的 <code>manga-image-translator</code> 安裝流程，目標是讓你在 Windows + NVIDIA GPU 環境，盡量一次把漫畫翻譯服務跑起來。</p>
<p>官方文件連結：</p>
<ul>
<li><a href="https://github.com/zyddnys/manga-image-translator/blob/main/README_CN.md#%E4%BD%BF%E7%94%A8-pipvenv-%E6%8E%A8%E8%8D%90" target="_blank" rel="noopener noreffer ">manga-image-translator README_CN</a></li>
</ul>
<div class="details admonition info open">
        <div class="details-summary admonition-title">
            <i class="icon fas fa-info-circle fa-fw" aria-hidden="true"></i>先看這段<i class="details-icon fas fa-angle-right fa-fw" aria-hidden="true"></i>
        </div>
        <div class="details-content">
            <div class="admonition-content"><p>如果你不是軟體工程背景，建議先安裝好以下工具再往下做：</p>
<ol>
<li>Git</li>
<li>Visual Studio Build Tools（安裝時勾選 Desktop development with C++）</li>
<li>顯示卡驅動與 CUDA 對應版本</li>
</ol></div>
        </div>
    </div>]]></description>
</item>
<item>
    <title>在 Ubutnu 安裝 Python 3.7 筆記</title>
    <link>https://malagege.github.io/blog/posts/Python-3-7-%E5%AE%89%E8%A3%9D%E7%AD%86%E8%A8%98/</link>
    <pubDate>Thu, 07 Nov 2019 23:31:47 &#43;0000</pubDate>
    <author>malagege</author>
    <guid>https://malagege.github.io/blog/posts/Python-3-7-%E5%AE%89%E8%A3%9D%E7%AD%86%E8%A8%98/</guid>
    <description><![CDATA[<p>最近在 Linux 安裝 Python 3.7 發現原生 <code>apt</code> 沒有包<br>
需要手動編譯安裝<br>
但遇到很多問題<br>
在這邊小記</p>]]></description>
</item>
<item>
    <title>[Python] 查詢本機IP</title>
    <link>https://malagege.github.io/blog/posts/logdown/2014-10-24-python-querying-native-ip/</link>
    <pubDate>Fri, 24 Oct 2014 02:17:00 &#43;0000</pubDate>
    <author>malagege</author>
    <guid>https://malagege.github.io/blog/posts/logdown/2014-10-24-python-querying-native-ip/</guid>
    <description><![CDATA[1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 import urllib,random,re ip_regex = re.compile(&#34;(([0-9]{1,3}\.){3}[0-9]{1,3})&#34;) def public_ip(): &#39;&#39;&#39; Returns your public IP address. Output: The IP address in string format. None if not internet connection available. &#39;&#39;&#39; # List of host which return the public IP address: hosts = &#34;&#34;&#34;http://www.]]></description>
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