I'm trying to convert a recursive function to an iterative one based on python limitations.
I am adapting an algorithm that I found in this answer from Javascript to Python. For a better explanation of the algorithm I'd suggest reading the answer I linked because it's much more concise. The high level purpose of this is to find equidistant points along a "line" made up of lat/lng pairs (points). However I'm running into issues in the recursive move_along_path function due to maximum recursion depth limitations in Python. After reading some similar questions, I found the best thing to do is to convert it to an iterative function. I am having trouble even beginning the conversion. 
These are the two functions I have adapted, where move_along_path is the recursive function (only one that needs converting) that sometimes calls move_towards as well. 
How can I begin this conversion and what are some basic steps to consider when converting?
# This is the base function that calls the recursive function
def get_equidistant_markers_from_polyline_points(self, points):
    points = points[1::10]
    # Get markers
    next_marker_at = 0
    markers = []
    while True:
        next_point = self.iterative_move_along_path(points, next_marker_at)
        if next_point is not None:
            markers.append({'lat': next_point[0], 'lng': next_point[1]})
            next_marker_at += 80000  # About 50 miles
        else:
            break
    print(markers)
    return markers
# This function moves from point to point along a "path" of points. 
# Once the "distance" threshold has been crossed then it adds the point
# to a list of equidistant markers.
def move_along_path(self, points, distance, index=0):
    if index < len(points) - 1:
        # There is still at least one point further from this point
        # Turn points into tuples for geopy format
        # point1_tuple = (points[index]['latitude'], points[index]['longitude'])
        # point2_tuple = (points[index + 1]['latitude'], points[index + 1]['longitude'])
        point1_tuple = (points[index]['lat'], points[index]['lng'])
        point2_tuple = (points[index + 1]['lat'], points[index + 1]['lng'])
        # Use geodesic method to get distance between points in meters
        distance_to_next_point = geopy.distance.geodesic(point1_tuple, point2_tuple).m
        if distance <= distance_to_next_point:
            # Distance_to_next_point is within this point and the next
            # Return the destination point with moveTowards()
            return self.move_towards(point1_tuple, point2_tuple, distance)
        else:
            # The destination is further from the next point
            # Subtract distance_to_next_point from distance and continue recursively
            return self.move_along_path(points, distance - distance_to_next_point, index + 1)
    else:
        # There are no further points, the distance exceeds the length of the full path.
        # Return None
        return None
def move_towards(point1, point2, distance):
    # Convert degrees to radians
    lat1 = math.radians(point1[0])
    lon1 = math.radians(point1[1])
    lat2 = math.radians(point2[0])
    d_lon = math.radians(point2[1] - point1[1])
    # Find the bearing from point1 to point2
    bearing = math.atan2(math.sin(d_lon) * math.cos(lat2),
                         math.cos(lat1) * math.sin(lat2) -
                         math.sin(lat1) * math.cos(lat2) *
                         math.cos(d_lon))
    # Earth's radius
    ang_dist = distance / 6371000.0
    # Calculate the destination point, given the source and bearing
    lat2 = math.asin(math.sin(lat1) * math.cos(ang_dist) +
                     math.cos(lat1) * math.sin(ang_dist) *
                     math.cos(bearing))
    lon2 = lon1 + math.atan2(math.sin(bearing) * math.sin(ang_dist) *
                             math.cos(lat1),
                             math.cos(ang_dist) - math.sin(lat1) *
                             math.sin(lat2))
    if math.isnan(lat2) or math.isnan(lon2):
        return None
    return [math.degrees(lat2), math.degrees(lon2)]
 
     
    