Merge pull request #51 from QuantEcon/translation-sync-2026-04-12T13-14-33-pr-524

🌐 [translation-sync] Improve clarity and fix errors in Numba lecture

Author: HumphreyYang

lectures/numba.md

@@ -15,12 +15,12 @@ translation:
     Overview: 概述
     Compiling Functions: 编译函数
     Compiling Functions::An Example: 示例
-    Compiling Functions::An Example::Base Version: 基础版本
-    Compiling Functions::An Example::Acceleration via Numba: 通过 Numba 加速
-    Compiling Functions::How and When it Works: 工作原理与适用场景
-    Sharp Bits: 注意事项
-    Sharp Bits::Typing: 类型推断
-    Sharp Bits::Global Variables: 全局变量
+    Compiling Functions::How and When it Works: 工作原理与适用时机
+    Type Inference: 类型推断
+    Dangers and Limitations: 危险与局限
+    Dangers and Limitations::Limitations: 局限性
+    'Dangers and Limitations::A Gotcha: Global Variables': 一个陷阱：全局变量
+    Dangers and Limitations::Caching Compiled Code: 缓存编译代码
     Multithreaded Loops in Numba: Numba 中的多线程循环
     Exercises: 练习
 ---
@@ -238,18 +238,18 @@ def iterate(f, x0, n):
         x = f(x)
     return x
 
-# Not jitted
+# 未经 jit 编译
 def g(x):
     return np.cos(x) - 2 * np.sin(x)
 
-# This code throws an error
+# 这段代码会抛出错误
 try:
     iterate(g, 0.5, 100)
 except Exception as e:
     print(e)
 ```
 
-在当前情况下，我们可以通过编译 `g` 来轻松解决这个问题。
+我们可以通过编译 `g` 来轻松修复这个错误。
 
 ```{code-cell} ipython3
 @jit