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	<title>入門教學 &#8211; 龍冥 Blog</title>
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		<title>Python超新手教學-怎麼開始Python?</title>
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		<dc:creator><![CDATA[龍冥]]></dc:creator>
		<pubDate>Mon, 30 Jun 2025 12:45:41 +0000</pubDate>
				<category><![CDATA[Python]]></category>
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					<description><![CDATA[在網路上，你會看到無數教學告訴你該怎麼寫 Pyt&#8230;]]></description>
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									<p>在網路上，你會看到無數教學告訴你該怎麼寫 Python：有人推薦 Visual Studio Code、有人推 Jupyter Notebook，還有 Colab、虛擬環境……，常常讓人不知從何開始。各方意見不一：一會兒要你安裝原生 Python，一會兒又說用 Anaconda 建立虛擬環境，步驟五花八門，到底該怎麼辦？</p><p>如果你從沒接觸過任何的程式語言，想玩玩看寫程式，我會建議：先別急著安裝任何軟體，直接使用 Google Colab 練習。只要有一組 Google 帳號，就能馬上在瀏覽器裡撰寫並執行程式。寫程式並不怎麼高大上，先試試這一行：</p><p><!-- notionvc: 631a0479-3eb1-463c-b7fb-91876b71a905 --></p>								</div>
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					<pre class='line-numbers theme-okaidia' data-show-toolbar='yes'><code class='language-python'>print(&quot;Hello Wrold&quot;)</code></pre>				</div>
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									<p>按下執行鍵，如果畫面出現 &#8220;Hello World&#8221;，恭喜你，已經踏入程式世界了！</p><p>那麼，什麼時候該考慮更換開發環境？當你覺得 Colab 不夠靈活，比如：</p><ol><li>你的專案有多個檔案，需要更好的檔案管理。</li><li>不希望程式碼儲存在 Google 雲端硬碟。</li><li>想在本機端或其他伺服器上執行，並且對資料安全有更高需求。</li><li>你需要安裝特殊套件或進行 AI 訓練，Colab 資源有限。</li></ol><p>如果上述情況出現，再考慮安裝本地 Python 與 IDE（例如 VS Code）或建立虛擬環境也不遲。</p><p>對於初學者的你而言，最重要的是以「<strong>最快、最簡單</strong>」的方式開始動手，而不是先被複雜的安裝設定絆住腳步。享受程式帶來的樂趣，才是學習的動力。</p><hr /><p>現在，就花三分鐘，點擊這個<a href="https://colab.research.google.com/" target="_blank" rel="noopener">連結</a>，在 Colab 中複製並執行這行程式：<code class="language-python"></code></p><p><!-- notionvc: 631a0479-3eb1-463c-b7fb-91876b71a905 --></p>								</div>
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					<pre class='line-numbers theme-okaidia' data-show-toolbar='yes'><code class='language-python'>print(&quot;Hello Wrold&quot;)</code></pre>				</div>
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									<blockquote><p><strong>一起玩程式吧！</strong></p></blockquote>								</div>
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