diff --git a/python/lib/sift_py/data_import/__init__.py b/python/lib/sift_py/data_import/__init__.py
index 0810b483..0aec3738 100644
--- a/python/lib/sift_py/data_import/__init__.py
+++ b/python/lib/sift_py/data_import/__init__.py
@@ -32,7 +32,40 @@
 This example assumes several things about how the data is formatted. For example, that first column
 contains datetime formatted time stamps. See docstring for `simple_upload` to see what can be overridden.
 
-## Custom CSV Upload
+## TDMS Upload
+
+TDMS files can be uploaded like so:
+```python
+from sift_py.data_import.csv import TdmsUploadService
+from sift_py.data_import.status import DataImportService
+from sift_py.rest import SiftRestConfig
+
+rest_config: SiftRestConfig = {
+    "uri": sift_uri,
+    "apikey": apikey,
+}
+
+asset_name = "Your Asset Name"
+csv_upload_service = CsvUploadService(rest_config)
+import_service: DataImportService  = csv_upload_service.simple_upload(asset_name, "sample_data.tdms")
+
+# Blocks until the import is completed.
+import_service.wait_until_complete()
+```
+
+If you want to upload TDMS groups as sift Components set `group_into_components` to True:
+```python
+csv_upload_service.simple_upload(asset_name, "sample_data.tdms", group_into_components=True)
+```
+
+Some times there are TDMS channels without valid data or timing information, you can skip these channels by
+setting `ignore_errors` to True:
+```python
+csv_upload_service.simple_upload(asset_name, "sample_data.tdms", ignore_errors=True)
+```
+The channels being skipped will be printed out to stdout.
+
+## CSV Upload with custom CSV config
 
 If your data is formatted a specific way you can create a CsvConfig that will be used to properly
 parse your data: