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lectures/career.md
@@ -39,14 +39,15 @@ translation:
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```{include} _admonition/gpu.md
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```
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-除了Anaconda中已有的库外,本讲座还需要以下库:
+除了 Anaconda 中已有的库外,本讲座还需要以下库:
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```{code-cell} ipython
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---
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tags: [hide-output]
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-!pip install quantecon
+!pip install quantecon jax
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+
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## 概述
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接下来,我们研究一个关于职业和工作选择的计算问题。
@@ -552,4 +553,4 @@ plt.show()
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在新图中,你可以看到劳动者选择留在原地的区域变大了,这是因为 $\epsilon$ 的分布更加集中在均值附近,使得高薪工作的可能性降低了。
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```{solution-end}
-```
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+```
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