You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+8-8Lines changed: 8 additions & 8 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -6,12 +6,12 @@
6
6
7
7
Please, pin the version you are using on your environment.
8
8
9
-
AWS Data Wrangler is completing 1 year, and the team is working to collect feedbacks and features requests to put in our 1.0.0 version. By now we have 3 major changes listed:
9
+
AWS Data Wrangler is completing 1 year, and the team is working to collect feedback and features requests to put in our 1.0.0 version. By now we have 3 major changes listed:
10
10
11
11
- API redesign
12
12
- Nested data types support
13
13
- Deprecation of PySpark support
14
-
- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 66 issues on GitHub are related to Spark.
14
+
- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 70 issues on GitHub are related to Spark.
15
15
- In addition, the integration between PySpark and PyArrow/Pandas remains in experimental stage and we have been experiencing tough times to keep it stable.
16
16
17
17
---
@@ -33,12 +33,12 @@ AWS Data Wrangler is completing 1 year, and the team is working to collect feedb
Copy file name to clipboardExpand all lines: docs/source/index.rst
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -15,7 +15,7 @@
15
15
- API redesign
16
16
- Nested data types support
17
17
- Deprecation of PySpark support
18
-
- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 66 issues on GitHub are related to Spark.
18
+
- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 70 issues on GitHub are related to Spark.
19
19
- In addition, the integration between PySpark and PyArrow/Pandas remains in experimental stage and we have been experiencing tough times to keep it stable.
0 commit comments