diff --git a/saqc/__main__.py b/saqc/__main__.py
index b878c823788e383f710d7ce7e2fbdd21b4fab523..8fbb3cb7c9cf8578a088824bfe1257d121ac652b 100644
--- a/saqc/__main__.py
+++ b/saqc/__main__.py
@@ -27,7 +27,7 @@ SCHEMES = {
 }
 
 
-def _setup_logging(loglvl):
+def _setupLogging(loglvl):
     logger.setLevel(loglvl)
     handler = logging.StreamHandler()
     formatter = logging.Formatter("[%(asctime)s][%(name)s][%(levelname)s]: %(message)s")
@@ -85,7 +85,7 @@ def main(config, data, flagger, outfile, nodata, log_level, fail):
     if SCHEMES[flagger] is NotImplemented:
         warnings.warn("flagger is currently not supported")
 
-    _setup_logging(log_level)
+    _setupLogging(log_level)
     reader, writer = setupIO(nodata)
 
     data = readData(reader, data)
diff --git a/saqc/flagger/flags.py b/saqc/flagger/flags.py
index 11e5f598f6f2dd11b1989352fd59a967d8731629..63d3a505f3322ce4aef94f2fd6b89067d1a5b376 100644
--- a/saqc/flagger/flags.py
+++ b/saqc/flagger/flags.py
@@ -40,7 +40,7 @@ class _HistAccess:
         if not isinstance(value, History):
             raise TypeError("Not a History")
 
-        History._validate_hist_with_mask(value.hist, value.mask)
+        History._validateHistWithMask(value.hist, value.mask)
 
         self.obj._data[key] = value
         self.obj._cache.pop(key, None)
diff --git a/saqc/flagger/history.py b/saqc/flagger/history.py
index e5220ddda45183b0fd2481ca9b3bc6c782e2f219..8ac0552a7943fe5cecbea898b0d925ec691e8377 100644
--- a/saqc/flagger/history.py
+++ b/saqc/flagger/history.py
@@ -65,11 +65,11 @@ class History:
             raise ValueError("Cannot take 'mask' without 'hist'")
 
         elif hist is not None and mask is None:
-            hist = self._validate_hist(hist)
+            hist = self._validateHist(hist)
             mask = pd.DataFrame(True, index=hist.index, columns=hist.columns)
 
         else:
-            hist, mask = self._validate_hist_with_mask(hist, mask)
+            hist, mask = self._validateHistWithMask(hist, mask)
 
         if copy:
             hist = hist.copy()
@@ -207,7 +207,7 @@ class History:
         if isinstance(value, History):
             return self._appendHistory(value, force=force)
 
-        value = self._validate_value(value)
+        value = self._validateValue(value)
         if len(self) > 0 and not value.index.equals(self.index):
             raise ValueError("Index must be equal to history index")
 
@@ -239,7 +239,7 @@ class History:
         -----
         This ignores the column names of the passed History.
         """
-        self._validate_hist_with_mask(value.hist, value.mask)
+        self._validateHistWithMask(value.hist, value.mask)
         if len(self) > 0 and not value.index.equals(self.index):
             raise ValueError("Index must be equal to history index")
 
@@ -394,13 +394,13 @@ class History:
     #
 
     @staticmethod
-    def _validate_hist_with_mask(obj: pd.DataFrame, mask: pd.DataFrame) -> Tuple[pd.DataFrame, pd.DataFrame]:
+    def _validateHistWithMask(obj: pd.DataFrame, mask: pd.DataFrame) -> Tuple[pd.DataFrame, pd.DataFrame]:
         """
         check type, columns, index, dtype and if the mask fits the obj.
         """
 
         # check hist
-        History._validate_hist(obj)
+        History._validateHist(obj)
 
         # check mask
         if not isinstance(mask, pd.DataFrame):
@@ -422,7 +422,7 @@ class History:
         return obj, mask
 
     @staticmethod
-    def _validate_hist(obj: pd.DataFrame) -> pd.DataFrame:
+    def _validateHist(obj: pd.DataFrame) -> pd.DataFrame:
         """
         check type, columns, dtype of obj.
         """
@@ -442,7 +442,7 @@ class History:
         return obj
 
     @staticmethod
-    def _validate_value(obj: pd.Series) -> pd.Series:
+    def _validateValue(obj: pd.Series) -> pd.Series:
         """
         index is not checked !
         """
diff --git a/saqc/funcs/drift.py b/saqc/funcs/drift.py
index d8605f67d000f1c4f0411cffa27a34e6fe785c84..2dd2fe7c411e026b85e43b3d694ba5a4ab08407f 100644
--- a/saqc/funcs/drift.py
+++ b/saqc/funcs/drift.py
@@ -433,7 +433,7 @@ def correctExponentialDrift(
 
     for k, group in drift_grouper:
         dataSeries = group[to_correct.name]
-        dataFit, dataShiftTarget = _drift_fit(dataSeries, shift_targets.loc[k, :][0], cal_mean)
+        dataFit, dataShiftTarget = _driftFit(dataSeries, shift_targets.loc[k, :][0], cal_mean)
         dataFit = pd.Series(dataFit, index=group.index)
         dataShiftTarget = pd.Series(dataShiftTarget, index=group.index)
         dataShiftVektor = dataShiftTarget - dataFit
@@ -628,7 +628,7 @@ def correctOffset(
     return data, flagger
 
 
-def _drift_fit(x, shift_target, cal_mean):
+def _driftFit(x, shift_target, cal_mean):
     x_index = x.index - x.index[0]
     x_data = x_index.total_seconds().values
     x_data = x_data / x_data[-1]