Merge pull request #1277 from Sage-Bionetworks/fix-link

Fix link in the documentation

Author: linglp

docs/tutorials/python/file.md

@@ -46,7 +46,7 @@ In this tutorial you will:
 !!! warning "Uploading Large Files"
     If you are uploading very large files (>100 GB each), consider using **sequential uploads with async API** instead.
 
-    For large file uploads, see the `execute_walk_file_sequential()` function in [uploadBenchmark.py](https://github.com/Sage-Bionetworks/synapsePythonClient/blob/develop/docs/scripts/#L286) as a reference implementation. This approach uses `asyncio.run(file.store_async())` with the newer async API, which has been optimized for handling very large files efficiently. In benchmarks, this pattern successfully uploaded 45 files of 100 GB each (4.5 TB total) in approximately 20.6 hours.
+    For large file uploads, see the `execute_walk_file_sequential()` function in [uploadBenchmark.py](https://github.com/Sage-Bionetworks/synapsePythonClient/blob/develop/docs/scripts/uploadBenchmark.py#L286) as a reference implementation. This approach uses `asyncio.run(file.store_async())` with the newer async API, which has been optimized for handling very large files efficiently. In benchmarks, this pattern successfully uploaded 45 files of 100 GB each (4.5 TB total) in approximately 20.6 hours.
 
 #### First let's retrieve all of the Synapse IDs we are going to use
 ```python