chore(learn): Applied MDX format to Chinese curriculum files (#40462)

2020-12-16 00:37:30 -07:00
parent 873fce02a2
commit 9ce4a02a41
1665 changed files with 58741 additions and 88042 deletions
--- a/curriculum/challenges/chinese/08-data-analysis-with-python/numpy/what-is-numpy.md
+++ b/curriculum/challenges/chinese/08-data-analysis-with-python/numpy/what-is-numpy.md
@@ -4,30 +4,34 @@ challengeType: 11
 videoId: 5Nwfs5Ej85Q
 ---

-## Description
+# --question--

-<section id='description'>
-</section>
+## --text--

-## Tests
+Why are Numpy arrays faster than regular Python lists?

-<section id='tests'>
+## --answers--

-```yml
-question:
-  text: |
-    Why are Numpy arrays faster than regular Python lists?
+Numpy does not perform type checking while iterating through objects.

-  answers:
-    - |
-      Numpy does not perform type checking while iterating through objects.
-    - |
-      Numpy uses fixed types.
-    - |
-      Numpy uses contiguous memory.
-    - |
-      All of the above.
-  solution: 4
-```
+---
+
+Numpy uses fixed types.
+
+---
+
+Numpy uses contiguous memory.
+
+---
+
+All of the above.
+
+## --video-solution--
+
+4
+
+# --hints--
+
+
+# --solutions--

-</section>