chore(i18n,curriculum): processed translations (#42734)

curriculum/challenges/chinese/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.md

@@ -1,6 +1,6 @@
 ---
 id: 5e9a0a8e09c5df3cc3600eda
-title: Loading Data and Advanced Indexing
+title: 加载数据和高级索引
 challengeType: 11
 videoId: tUdBZ7pF8Jg
 dashedName: loading-data-and-advanced-indexing
@@ -10,14 +10,14 @@ dashedName: loading-data-and-advanced-indexing
 
 ## --text--
 
-Given a file named `data.txt` with these contents:
+给定一个名为 `data.txt` 的文件，其中包含以下内容：
 
 <pre>
 29,97,32,100,45
 15,88,5,75,22
 </pre>
 
-What code would produce the following array?
+哪段代码会生成下面的数组？
 
 ```py
 [29. 32. 45. 15.  5. 22.]

curriculum/challenges/chinese/08-data-analysis-with-python/numpy/what-is-numpy.md

@@ -1,6 +1,6 @@
 ---
 id: 5e9a0a8e09c5df3cc3600ed2
-title: What is NumPy
+title: Numpy 是什么？
 challengeType: 11
 videoId: 5Nwfs5Ej85Q
 dashedName: what-is-numpy
@@ -10,23 +10,23 @@ dashedName: what-is-numpy
 
 ## --text--
 
-Why are Numpy arrays faster than regular Python lists?
+为什么 Numpy 数组要比常规的 Python 列表更快？
 
 ## --answers--
 
-Numpy does not perform type checking while iterating through objects.
+Numpy 在遍历对象时不执行类型检查。
 
 ---
 
-Numpy uses fixed types.
+Numpy 使用固定类型。
 
 ---
 
-Numpy uses contiguous memory.
+Numpy 使用连续内存。
 
 ---
 
-All of the above.
+上述所有的。
 
 ## --video-solution--