diff --git a/Doc/lib/libcsv.tex b/Doc/lib/libcsv.tex
index e2877ee..bf8b0bf 100644
--- a/Doc/lib/libcsv.tex
+++ b/Doc/lib/libcsv.tex
@@ -117,14 +117,18 @@
 
 The \module{csv} module defines the following classes:
 
-\begin{classdesc}{DictReader}{csvfile, fieldnames\optional{,
+\begin{classdesc}{DictReader}{csvfile\optional{,
+			      fieldnames=\constant{None},\optional{,
                               restkey=\constant{None}\optional{,
 			      restval=\constant{None}\optional{,
                               dialect=\code{'excel'}\optional{,
-			      fmtparam}}}}}
+			      fmtparam}}}}}}
 Create an object which operates like a regular reader but maps the
-information read into a dict whose keys are given by the \var{fieldnames}
-parameter.  If the row read has fewer fields than the fieldnames sequence,
+information read into a dict whose keys are given by the optional
+{} \var{fieldnames}
+parameter.  If the \var{fieldnames} parameter is omitted, the values in
+the first row of the \var{csvfile} will be used as the fieldnames.
+If the row read has fewer fields than the fieldnames sequence,
 the value of \var{restval} will be used as the default value.  If the row
 read has more fields than the fieldnames sequence, the remaining data is
 added as a sequence keyed by the value of \var{restkey}.  If the row read
@@ -149,6 +153,13 @@
 to \code{'raise'} a \exception{ValueError} is raised.  If it is set to
 \code{'ignore'}, extra values in the dictionary are ignored.  All other
 parameters are interpreted as for \class{writer} objects.
+
+Note that unlike the \class{DictReader} class, the \var{fieldnames}
+parameter of the \class{DictWriter} is not optional.  Since Python's
+\class{dict} objects are not ordered, there is not enough information
+available to deduce the order in which the row should be written to the
+\var{csvfile}.
+
 \end{classdesc}
 
 \begin{classdesc*}{Dialect}{}
diff --git a/Lib/csv.py b/Lib/csv.py
index 096badc..f2389fd 100644
--- a/Lib/csv.py
+++ b/Lib/csv.py
@@ -92,7 +92,7 @@
 
 
 class DictReader:
-    def __init__(self, f, fieldnames, restkey=None, restval=None,
+    def __init__(self, f, fieldnames=None, restkey=None, restval=None,
                  dialect="excel", *args, **kwds):
         self.fieldnames = fieldnames    # list of keys for the dict
         self.restkey = restkey          # key to catch long rows
@@ -104,6 +104,10 @@
 
     def next(self):
         row = self.reader.next()
+        if self.fieldnames is None:
+            self.fieldnames = row
+            row = self.reader.next()
+
         # unlike the basic reader, we prefer not to return blanks,
         # because we will typically wind up with a dict full of None
         # values
diff --git a/Lib/test/test_csv.py b/Lib/test/test_csv.py
index d85c5b6..29a13cb 100644
--- a/Lib/test/test_csv.py
+++ b/Lib/test/test_csv.py
@@ -382,7 +382,6 @@
     def test_read_escape_fieldsep(self):
         self.readerAssertEqual('"abc\\,def"\r\n', [['abc,def']])
 
-# Disabled, pending support in csv.utils module
 class TestDictFields(unittest.TestCase):
     ### "long" means the row is longer than the number of fieldnames
     ### "short" means there are fewer elements in the row than fieldnames
@@ -401,6 +400,10 @@
                                 fieldnames=["f1", "f2", "f3"])
         self.assertEqual(reader.next(), {"f1": '1', "f2": '2', "f3": 'abc'})
 
+    def test_read_dict_no_fieldnames(self):
+        reader = csv.DictReader(StringIO("f1,f2,f3\r\n1,2,abc\r\n"))
+        self.assertEqual(reader.next(), {"f1": '1', "f2": '2', "f3": 'abc'})
+
     def test_read_long(self):
         reader = csv.DictReader(StringIO("1,2,abc,4,5,6\r\n"),
                                 fieldnames=["f1", "f2"])
@@ -413,6 +416,12 @@
         self.assertEqual(reader.next(), {"f1": '1', "f2": '2',
                                          "_rest": ["abc", "4", "5", "6"]})
 
+    def test_read_long_with_rest_no_fieldnames(self):
+        reader = csv.DictReader(StringIO("f1,f2\r\n1,2,abc,4,5,6\r\n"),
+                                restkey="_rest")
+        self.assertEqual(reader.next(), {"f1": '1', "f2": '2',
+                                         "_rest": ["abc", "4", "5", "6"]})
+
     def test_read_short(self):
         reader = csv.DictReader(["1,2,abc,4,5,6\r\n","1,2,abc\r\n"],
                                 fieldnames="1 2 3 4 5 6".split(),