diff --git a/examples/human.py b/examples/human.py
index 067a7ef..e300b89 100644
--- a/examples/human.py
+++ b/examples/human.py
@@ -13,7 +13,7 @@ def userConsole(args):
 
     # Initialize environment
     env = ScienceWorldEnv("", args['jar_path'], envStepLimit=args['env_step_limit'])
-    taskNames = env.getTaskNames()
+    taskNames = env.get_task_names()
     print("Task Names: " + str(taskNames))
 
     # Choose task
@@ -30,41 +30,41 @@ def userConsole(args):
     #   (Many of these are similar to the Jericho API)
     #
     print("Task Names: " + str(taskNames))
-    print("Possible actions: " + str(env.getPossibleActions()))
-    print("Possible objects: " + str(env.getPossibleObjects()))
-    templates, lut = env.getPossibleActionObjectCombinations()
+    print("Possible actions: " + str(env.get_possible_actions()))
+    print("Possible objects: " + str(env.get_possible_objects()))
+    templates, lut = env.get_possible_action_object_combinations()
     print("Possible action/object combinations: " + str(templates))
     # print("Object IDX to Object Referent LUT: " + str(lut))
-    print("Vocabulary: " + str(env.getVocabulary()))
-    print("Possible actions (with IDs): " + str(env.getPossibleActionsWithIDs()))
-    print("Possible object types: " + str(env.getObjectTypes()))
+    print("Vocabulary: " + str(env.get_vocabulary()))
+    print("Possible actions (with IDs): " + str(env.get_possible_actions_with_IDs()))
+    print("Possible object types: " + str(env.get_object_types()))
     print("Object IDX to Object Referent LUT: " + str(lut))
     print("\n")
-    print("Possible object referents LUT: " + str(env.getPossibleObjectReferentLUT()))
+    print("Possible object referents LUT: " + str(env.get_possible_object_referent_LUT()))
     print("\n")
     print("Valid action-object combinations: " +
-          str(env.getValidActionObjectCombinations()))
+          str(env.get_valid_action_object_combinations()))
     print("\n")
-    print("Object_ids to type_ids: " + str(env.getAllObjectTypesLUTJSON()))
+    print("Object_ids to type_ids: " + str(env.get_all_object_types_LUTJSON()))
     print("\n")
     print("All objects, their ids, types, and referents: " +
-          str(env.getAllObjectIdsTypesReferentsLUTJSON()))
+          str(env.get_all_object_ids_types_referents_LUTJSON()))
     print("\n")
     print("Valid action-object combinations (with templates): " +
-          str(env.getValidActionObjectCombinationsWithTemplates()))
+          str(env.get_valid_action_object_combinations_with_templates()))
     print("\n")
-    print("Object Type LUT: " + str(env.getPossibleObjectReferentTypesLUT()))
-    print("Variations (train): " + str(env.getVariationsTrain()))
+    print("Object Type LUT: " + str(env.get_possible_object_referent_types_LUT()))
+    print("Variations (train): " + str(env.get_variations_train()))
 
     print("")
     print("----------------------------------------------------------------------------------")
     print("")
 
-    print("Gold Path:" + str(env.getGoldActionSequence()))
+    print("Gold Path:" + str(env.get_gold_action_sequence()))
 
     print("Task Name: " + taskName)
-    print("Variation: " + str(args['var_num']) + " / " + str(env.getMaxVariations(taskName)))
-    print("Task Description: " + str(env.getTaskDescription()))
+    print("Variation: " + str(args['var_num']) + " / " + str(env.get_max_variations(taskName)))
+    print("Task Description: " + str(env.get_task_description()))
 
     #
     #   Main user input loop
@@ -73,20 +73,20 @@ def userConsole(args):
     while (userInputStr not in exitCommands):
         if (userInputStr == "help"):
             print("Possible actions: ")
-            for actionStr in env.getPossibleActions():
+            for actionStr in env.get_possible_actions():
                 print("\t" + str(actionStr))
 
         elif (userInputStr == "objects"):
             print("Possible objects (one referent listed per object): ")
-            for actionStr in env.getPossibleObjects():
+            for actionStr in env.get_possible_objects():
                 print("\t" + str(actionStr))
 
         elif (userInputStr == "valid"):
             print("Valid action-object combinations:")
-            print(env.getValidActionObjectCombinationsWithTemplates())
+            print(env.get_valid_action_object_combinations_with_templates())
 
         elif (userInputStr == 'goals'):
-            print(env.getGoalProgressStr())
+            print(env.get_goal_progress())
 
         else:
             # Send user input, get response
@@ -109,7 +109,7 @@ def userConsole(args):
         userInputStr = userInputStr.lower().strip()
 
     # Display run history
-    runHistory = env.getRunHistory()
+    runHistory = env.get_run_history()
     print("Run History:")
     print(runHistory)
     for item in runHistory:
@@ -117,7 +117,7 @@ def userConsole(args):
         print("")
 
     # Display subgoal progress
-    print(env.getGoalProgressStr())
+    print(env.get_goal_progress_str())
 
     print("Completed.")
 
diff --git a/examples/random_agent.py b/examples/random_agent.py
index 1bbf38f..bf81652 100644
--- a/examples/random_agent.py
+++ b/examples/random_agent.py
@@ -19,35 +19,35 @@ def randomModel(args):
     # Initialize environment
     env = ScienceWorldEnv("", args['jar_path'], envStepLimit=args['env_step_limit'])
 
-    taskNames = env.getTaskNames()
+    taskNames = env.get_task_names()
     print("Task Names: " + str(taskNames))
 
     # Choose task
     taskName = taskNames[taskIdx]        # Just get first task
     # Load the task, we we have access to some extra accessors e.g. get_random_variation_train()
     env.load(taskName, 0, "")
-    maxVariations = env.getMaxVariations(taskName)
+    maxVariations = env.get_max_variations(taskName)
     print("Starting Task " + str(taskIdx) + ": " + taskName)
     time.sleep(2)
 
     # Start running episodes
     for episodeIdx in range(0, numEpisodes):
         # Pick a random task variation
-        randVariationIdx = env.getRandomVariationTrain()
+        randVariationIdx = env.get_random_variation_train()
         env.load(taskName, randVariationIdx, simplificationStr)
 
         # Reset the environment
         initialObs, initialDict = env.reset()
 
         # Example accessors
-        print("Possible actions: " + str(env.getPossibleActions()))
-        print("Possible objects: " + str(env.getPossibleObjects()))
-        templates, lut = env.getPossibleActionObjectCombinations()
+        print("Possible actions: " + str(env.get_possible_actions()))
+        print("Possible objects: " + str(env.get_possible_objects()))
+        templates, lut = env.get_possible_action_object_combinations()
         print("Possible action/object combinations: " + str(templates))
         print("Object IDX to Object Referent LUT: " + str(lut))
         print("Task Name: " + taskName)
         print("Task Variation: " + str(randVariationIdx) + " / " + str(maxVariations))
-        print("Task Description: " + str(env.getTaskDescription()))
+        print("Task Description: " + str(env.get_task_description()))
         print("look: " + str(env.look()))
         print("inventory: " + str(env.inventory()))
         print("taskdescription: " + str(env.taskdescription()))
@@ -79,7 +79,7 @@ def randomModel(args):
             # Randomly select action
 
             # Any action (valid or not)
-            # templates, lut = env.getPossibleActionObjectCombinations()
+            # templates, lut = env.get_possible_action_object_combinations()
             # print("Possible action/object combinations: " + str(templates))
             # print("Object IDX to Object Referent LUT: " + str(lut))
             # randomTemplate = random.choice( templates )
@@ -87,7 +87,7 @@ def randomModel(args):
             # userInputStr = randomTemplate["action"]
 
             # Only valid actions
-            validActions = env.getValidActionObjectCombinationsWithTemplates()
+            validActions = env.get_valid_action_object_combinations_with_templates()
             randomAction = random.choice(validActions)
             print("Next random action: " + str(randomAction))
             userInputStr = randomAction["action"]
@@ -102,7 +102,7 @@ def randomModel(args):
             curIter += 1
 
         print("Goal Progress:")
-        print(env.getGoalProgressStr())
+        print(env.get_goal_progress_str())
         time.sleep(1)
 
         # Episode finished -- Record the final score
@@ -114,11 +114,11 @@ def randomModel(args):
 
         # Save history -- and when we reach maxPerFile, export them to file
         filenameOutPrefix = args['output_path_prefix'] + str(taskIdx)
-        env.storeRunHistory(episodeIdx, notes={'text': 'my notes here'})
-        env.saveRunHistoriesBufferIfFull(filenameOutPrefix, maxPerFile=args['max_episode_per_file'])
+        env.store_run_history(episodeIdx, notes={'text': 'my notes here'})
+        env.save_run_histories_buffer_if_full(filenameOutPrefix, max_per_file=args['max_episode_per_file'])
 
     # Episodes are finished -- manually save any last histories still in the buffer
-    env.saveRunHistoriesBufferIfFull(filenameOutPrefix, maxPerFile=args['max_episode_per_file'], forceSave=True)
+    env.save_run_histories_buffer_if_full(filenameOutPrefix, max_per_file=args['max_episode_per_file'], force_save=True)
 
     # Show final episode scores to user
     # Clip negative scores to 0 for average calculation
diff --git a/examples/scienceworld-web-server-example.py b/examples/scienceworld-web-server-example.py
index b5258af..a6952ae 100644
--- a/examples/scienceworld-web-server-example.py
+++ b/examples/scienceworld-web-server-example.py
@@ -101,8 +101,8 @@ def app():
     htmlLog.addHeading("Science World (Text Simulation)")
     htmlLog.addHorizontalRule()
 
-    taskName = pywebio.input.select("Select a task:", env.getTaskNames())
-    maxVariations = env.getMaxVariations(taskName)
+    taskName = pywebio.input.select("Select a task:", env.get_task_names())
+    maxVariations = env.get_max_variations(taskName)
 
     # variationIdx = slider("Task Variation: ", min_value=0, max_value=(maxVariations-1))
     variationIdx = pywebio.input.input('Enter the task variation (min = 0, max = ' + str(maxVariations) + "):")
@@ -118,11 +118,11 @@ def app():
     # print("Possible action/object combinations: " + str(env.getPossibleActionObjectCombinations()))
 
     pywebio_out.put_table([
-        ["Task", env.getTaskDescription()],
+        ["Task", env.get_task_description()],
         ["Variation", str(variationIdx) + " / " + str(maxVariations)]
     ])
 
-    htmlLog.addStr("<b>Task:</b> " + env.getTaskDescription() + "<br>")
+    htmlLog.addStr("<b>Task:</b> " + env.get_task_description() + "<br>")
     htmlLog.addStr("<b>Variation:</b> " + str(variationIdx) + "<br>")
     htmlLog.addHorizontalRule()
 
@@ -172,7 +172,7 @@ def app():
             'isCompleted': isCompleted,
             'userInput': userInputStr,
             'taskName': taskName,
-            'taskDescription': env.getTaskDescription(),
+            'taskDescription': env.get_task_description(),
             'look': env.look(),
             'inventory': env.inventory(),
             'variationIdx': variationIdx,
diff --git a/scienceworld/scienceworld.py b/scienceworld/scienceworld.py
index 2427078..995b4e3 100644
--- a/scienceworld/scienceworld.py
+++ b/scienceworld/scienceworld.py
@@ -61,7 +61,7 @@ def __init__(self, taskName=None, serverPath=None, envStepLimit=100):
         self.envStepLimit = envStepLimit
 
         # Clear the run histories
-        self.clearRunHistories()
+        self.clear_run_histories()
 
         # By default, set that the gold path was not generated unless the user asked for it
         self.goldPathGenerated = False
@@ -73,15 +73,15 @@ def load(self, taskName, variationIdx=0, simplificationStr="", generateGoldPath=
         # Check loading arguments.
         # Validate task name.
         taskName = infer_task(taskName)
-        if taskName not in self.getTaskNames():
+        if taskName not in self.get_task_names():
             msg = "Unknown taskName: '{}'. ".format(taskName)
-            msg += "Supported tasks are: {}".format(self.getTaskNames())
+            msg += "Supported tasks are: {}".format(self.get_task_names())
             raise ValueError(msg)
 
         self.taskName = taskName
 
         # Validate simplification string.
-        possible_simplifications = ["easy"] + self.getPossibleSimplifications()
+        possible_simplifications = ["easy"] + self.get_possible_simplifications()
         for simplification in simplificationStr.split(","):
             if simplification and simplification not in possible_simplifications:
                 msg = "Unknown simplification: '{}'. ".format(simplification)
@@ -349,7 +349,7 @@ def taskdescription(self):
         return observation
 
     # Goal progress
-    def get_goal_progress_str(self):
+    def get_goal_progress(self):
         goalStr = self.server.getGoalProgressStr()
         return goalStr
 
diff --git a/scienceworld/utils.py b/scienceworld/utils.py
index 2b5f427..e917c4f 100644
--- a/scienceworld/utils.py
+++ b/scienceworld/utils.py
@@ -23,4 +23,4 @@ def infer_task(name_or_id):
 def snake_case_deprecation_warning():
     message = "You are using the camel case api. This feature is deprecated. Please migrate to the snake_case api."
     formatted_message = f"\033[91m {message} \033[00m"
-    warnings.warn(formatted_message, UserWarning, stacklevel=2)
+    warnings.warn(formatted_message, UserWarning, stacklevel=3)
diff --git a/tests/test_scienceworld.py b/tests/test_scienceworld.py
index 193087d..839ca34 100644
--- a/tests/test_scienceworld.py
+++ b/tests/test_scienceworld.py
@@ -47,11 +47,11 @@ def test_multiple_instances():
 def test_variation_sets_are_disjoint():
     env = ScienceWorldEnv()
 
-    for task in env.getTaskNames():
+    for task in env.get_task_names():
         env.load(task)
-        train = set(env.getVariationsTrain())
-        dev = set(env.getVariationsDev())
-        test = set(env.getVariationsTest())
+        train = set(env.get_variations_train())
+        dev = set(env.get_variations_dev())
+        test = set(env.get_variations_test())
         assert set.isdisjoint(train, dev)
         assert set.isdisjoint(train, test)
         assert set.isdisjoint(dev, test)
@@ -119,4 +119,4 @@ def test_load():
 def test_consistent_task_names():
     """Verify that Scala and Python code use the same task names."""
     env = ScienceWorldEnv()
-    assert sorted(env.task_names) == sorted(env.getTaskNames())
+    assert sorted(env.task_names) == sorted(env.get_task_names())