diff --git a/python/datafusion/context.py b/python/datafusion/context.py
index 922cc87a..47f2b9cf 100644
--- a/python/datafusion/context.py
+++ b/python/datafusion/context.py
@@ -883,7 +883,7 @@ def read_json(
 
     def read_csv(
         self,
-        path: str | pathlib.Path,
+        path: str | pathlib.Path | list[str] | list[pathlib.Path],
         schema: pyarrow.Schema | None = None,
         has_header: bool = True,
         delimiter: str = ",",
@@ -914,9 +914,12 @@ def read_csv(
         """
         if table_partition_cols is None:
             table_partition_cols = []
+
+        path = [str(p) for p in path] if isinstance(path, list) else str(path)
+
         return DataFrame(
             self.ctx.read_csv(
-                str(path),
+                path,
                 schema,
                 has_header,
                 delimiter,
diff --git a/python/datafusion/tests/test_context.py b/python/datafusion/tests/test_context.py
index 8373659b..1b424db8 100644
--- a/python/datafusion/tests/test_context.py
+++ b/python/datafusion/tests/test_context.py
@@ -484,6 +484,22 @@ def test_read_csv(ctx):
     csv_df.select(column("c1")).show()
 
 
+def test_read_csv_list(ctx):
+    csv_df = ctx.read_csv(path=["testing/data/csv/aggregate_test_100.csv"])
+    expected = csv_df.count() * 2
+
+    double_csv_df = ctx.read_csv(
+        path=[
+            "testing/data/csv/aggregate_test_100.csv",
+            "testing/data/csv/aggregate_test_100.csv",
+        ]
+    )
+    actual = double_csv_df.count()
+
+    double_csv_df.select(column("c1")).show()
+    assert actual == expected
+
+
 def test_read_csv_compressed(ctx, tmp_path):
     test_data_path = "testing/data/csv/aggregate_test_100.csv"
 
diff --git a/src/context.rs b/src/context.rs
index 50c4a199..d7890e3f 100644
--- a/src/context.rs
+++ b/src/context.rs
@@ -805,7 +805,7 @@ impl PySessionContext {
         file_compression_type=None))]
     pub fn read_csv(
         &self,
-        path: PathBuf,
+        path: &Bound<'_, PyAny>,
         schema: Option<PyArrowType<Schema>>,
         has_header: bool,
         delimiter: &str,
@@ -815,10 +815,6 @@ impl PySessionContext {
         file_compression_type: Option<String>,
         py: Python,
     ) -> PyResult<PyDataFrame> {
-        let path = path
-            .to_str()
-            .ok_or_else(|| PyValueError::new_err("Unable to convert path to a string"))?;
-
         let delimiter = delimiter.as_bytes();
         if delimiter.len() != 1 {
             return Err(PyValueError::new_err(
@@ -833,13 +829,16 @@ impl PySessionContext {
             .file_extension(file_extension)
             .table_partition_cols(convert_table_partition_cols(table_partition_cols)?)
             .file_compression_type(parse_file_compression_type(file_compression_type)?);
+        options.schema = schema.as_ref().map(|x| &x.0);
 
-        if let Some(py_schema) = schema {
-            options.schema = Some(&py_schema.0);
-            let result = self.ctx.read_csv(path, options);
+        if path.is_instance_of::<PyList>() {
+            let paths = path.extract::<Vec<String>>()?;
+            let paths = paths.iter().map(|p| p as &str).collect::<Vec<&str>>();
+            let result = self.ctx.read_csv(paths, options);
             let df = PyDataFrame::new(wait_for_future(py, result).map_err(DataFusionError::from)?);
             Ok(df)
         } else {
+            let path = path.extract::<String>()?;
             let result = self.ctx.read_csv(path, options);
             let df = PyDataFrame::new(wait_for_future(py, result).map_err(DataFusionError::from)?);
             Ok(df)