diff --git a/pytaxize/col/col.py b/pytaxize/col/col.py
index c0a6e65..74ab496 100644
--- a/pytaxize/col/col.py
+++ b/pytaxize/col/col.py
@@ -14,6 +14,7 @@
     warnings.warn("Pandas library not installed, dataframes disabled")
     pd = None
 
+
 def children(name=None, id=None, format=None, start=None, checklist=None):
     """
     Search Catalogue of Life for for direct children of a particular taxon.
diff --git a/pytaxize/gbif/parse.py b/pytaxize/gbif/parse.py
index 9c91c9d..c0e0838 100644
--- a/pytaxize/gbif/parse.py
+++ b/pytaxize/gbif/parse.py
@@ -7,6 +7,7 @@
     warnings.warn("Pandas library not installed, dataframes disabled")
     pd = None
 
+
 def parse(name, as_dataframe=False):
     """
     Parse taxon names using the GBIF name parser.
diff --git a/pytaxize/gn/gnr.py b/pytaxize/gn/gnr.py
index a867f50..551d9fd 100644
--- a/pytaxize/gn/gnr.py
+++ b/pytaxize/gn/gnr.py
@@ -5,9 +5,11 @@
 from pytaxize.refactor import Refactor
 import os
 
+
 class NoResultException(Exception):
     pass
 
+
 def gnr_datasources():
     """
     Get data sources for the Global Names Resolver.
diff --git a/pytaxize/ids/ids.py b/pytaxize/ids/ids.py
index c05dfa1..2d421c7 100644
--- a/pytaxize/ids/ids.py
+++ b/pytaxize/ids/ids.py
@@ -4,6 +4,7 @@
 from pytaxize.ncbi import ncbi
 from ..gbif.gbif_utils import *
 
+
 class NoResultException(Exception):
     pass
 
@@ -63,7 +64,10 @@ def ncbi(self, verbose=True):
                     rank_taken = z["Rank"]
                     result = _make_id(id[0], fname, z["Rank"], "ncbi")
                 if len(id) > 1:
-                    result = [ _make_id(w["TaxId"], w["ScientificName"], w["Rank"], "ncbi") for w in res[fname] ]
+                    result = [
+                        _make_id(w["TaxId"], w["ScientificName"], w["Rank"], "ncbi")
+                        for w in res[fname]
+                    ]
             out.append(result)
         # out = _flatten(out)
         if isinstance(out, dict):
@@ -71,6 +75,7 @@ def ncbi(self, verbose=True):
         if isinstance(out[0], list):
             out = out[0]
         return out
+
     # def col(self, verbose=True):
     #     """
     #     Get Catalogue of Life taxonomic identifiers
@@ -134,6 +139,7 @@ def ncbi(self, verbose=True):
 
     #     return out
 
+
 def _make_id(id, name, rank, type):
     if id is None:
         uri = None
@@ -146,6 +152,7 @@ def _make_id(id, name, rank, type):
         "uri": uri,
     }
 
+
 def _converter(x):
     if x.__class__.__name__ == "str":
         return [x]
@@ -156,6 +163,7 @@ def _converter(x):
 def _flatten(x):
     return [item for sublist in x for item in sublist]
 
+
 id_uris = {
     "col": {
         "species": "http://www.catalogueoflife.org/col/details/species/id/%s",
@@ -167,6 +175,7 @@ def _flatten(x):
     },
 }
 
+
 def _make_id_uri(rank, which, x):
     if rank is not None:
         if rank.lower() == "species":
diff --git a/pytaxize/itis/itis.py b/pytaxize/itis/itis.py
index ae9019b..75d449d 100644
--- a/pytaxize/itis/itis.py
+++ b/pytaxize/itis/itis.py
@@ -76,6 +76,7 @@ def getcommentdetailfromtsn(tsn, as_dataframe=False, **kwargs):
     [z.pop("class") for z in out["comments"]]
     return _df(out["comments"], as_dataframe)
 
+
 def getcommonnamesfromtsn(tsn, as_dataframe=False, **kwargs):
     """
     Get common names from tsn
@@ -95,6 +96,7 @@ def getcommonnamesfromtsn(tsn, as_dataframe=False, **kwargs):
     [z.pop("class") for z in out["commonNames"]]
     return _df(out["commonNames"], as_dataframe)
 
+
 def getcoremetadatafromtsn(tsn, as_dataframe=False, **kwargs):
     """
     Get core metadata from tsn
@@ -113,6 +115,7 @@ def getcoremetadatafromtsn(tsn, as_dataframe=False, **kwargs):
     out.pop("class")
     return _df([out], as_dataframe)
 
+
 def getcoveragefromtsn(tsn, as_dataframe=False, **kwargs):
     """
     Get coverge from tsn
@@ -150,6 +153,7 @@ def getcredibilityratingfromtsn(tsn, as_dataframe=False, **kwargs):
     out.pop("class")
     return _df(out, as_dataframe)
 
+
 def getcredibilityratings(**kwargs):
     """
     Get possible credibility ratings
@@ -168,6 +172,7 @@ def getcredibilityratings(**kwargs):
     out.pop("class")
     return out["credibilityValues"]
 
+
 def getcurrencyfromtsn(tsn, as_dataframe=False, **kwargs):
     """
     Get currency from tsn
@@ -204,6 +209,7 @@ def getdatedatafromtsn(tsn, as_dataframe=False, **kwargs):
     out.pop("class")
     return _df(out, as_dataframe)
 
+
 def getexpertsfromtsn(tsn, as_dataframe=False, **kwargs):
     """
     Get expert information for the TSN.
@@ -219,6 +225,7 @@ def getexpertsfromtsn(tsn, as_dataframe=False, **kwargs):
     out.pop("class")
     return _df(out["experts"], as_dataframe)
 
+
 def gettaxonomicranknamefromtsn(tsn, as_dataframe=False, **kwargs):
     """
     Returns the kingdom and rank information for the TSN.
@@ -236,6 +243,7 @@ def gettaxonomicranknamefromtsn(tsn, as_dataframe=False, **kwargs):
     tt.pop("class")
     return _df(tt, as_dataframe)
 
+
 def getfullhierarchyfromtsn(tsn, as_dataframe=False, **kwargs):
     """
     Get full hierarchy from ts
@@ -257,6 +265,7 @@ def getfullhierarchyfromtsn(tsn, as_dataframe=False, **kwargs):
     [z.pop("class") for z in hier]
     return _df(hier, as_dataframe)
 
+
 # def _fullrecord(verb, args, **kwargs):
 #     out = Refactor(itis_base + verb, payload=args, request="get").json(**kwargs)
 #     toget = [
@@ -290,10 +299,12 @@ def getfullhierarchyfromtsn(tsn, as_dataframe=False, **kwargs):
 
 #     return [parsedat(x) for x in toget]
 
+
 def _fullrecord(verb, args, **kwargs):
     out = Refactor(itis_base + verb, payload=args, request="get").json(**kwargs)
     return out
 
+
 def getfullrecordfromlsid(lsid, **kwargs):
     """
     Returns the full ITIS record for the TSN in the LSID, found by comparing the
@@ -346,6 +357,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
     [z.pop("class") for z in out["geoDivisions"]]
     return _df(out["geoDivisions"], as_dataframe)
 
+
 # def getgeographicvalues(**kwargs):
 #     """
 #     Get all possible geographic values
@@ -353,7 +365,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     :param **kwargs: Curl options passed on to `requests.get`
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getgeographicvalues()
 #     """
@@ -370,7 +382,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get global species completeness from tsn
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getglobalspeciescompletenessfromtsn(180541)
 #     """
@@ -390,7 +402,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     :param tsn: TSN for a taxonomic group (numeric)
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.gethierarchydownfromtsn(tsn = 161030)
 #     """
@@ -409,7 +421,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     :param tsn: TSN for a taxonomic group (numeric)
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.gethierarchyupfromtsn(tsn = 36485)
 #         itis.gethierarchyupfromtsn(tsn = 37906)
@@ -427,7 +439,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get itis term
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis._itisterms("buya")
 #     """
@@ -468,7 +480,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get itis terms from common names
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getitistermsfromcommonname("buya")
 #     """
@@ -480,7 +492,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get itis terms
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         # fails
 #         itis.getitisterms("bear")
@@ -493,7 +505,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get itis terms from scientific names
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getitistermsfromscientificname("ursidae")
 #         itis.getitistermsfromscientificname("Ursus")
@@ -516,7 +528,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #        rank, whilc this function only gets immediate names downstream.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         # Get full hierarchy
 #         itis.hierarchy(tsn=180543)
@@ -549,7 +561,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get jurisdictional origin from tsn
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getjurisdictionaloriginfromtsn(180543)
 #     """
@@ -568,7 +580,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get jurisdiction origin values
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getjurisdictionoriginvalues()
 #     """
@@ -585,7 +597,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get possible jurisdiction values
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getjurisdictionvalues()
 #     """
@@ -601,7 +613,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get kingdom names from tsn
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getkingdomnamefromtsn(202385)
 #     """
@@ -619,7 +631,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get all possible kingdom names
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getkingdomnames()
 #     """
@@ -636,7 +648,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Provides the date the ITIS database was last updated.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getlastchangedate()
 #     """
@@ -655,7 +667,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Gets the unique LSID for the TSN, or an empty result if there is no match.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         # valid TSN
 #         itis.getlsidfromtsn(155166)
@@ -679,7 +691,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Returns a list of the other sources used for the TSN.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getothersourcesfromtsn(182662)
 #     """
@@ -703,7 +715,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Returns the parent TSN for the entered TSN.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getparenttsnfromtsn(202385)
 #     """
@@ -719,7 +731,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Returns a list of the pulications used for the TSN.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getpublicationsfromtsn(70340)
 #     """
@@ -752,7 +764,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     their kingdom and rank ID values.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getranknames()
 #     """
@@ -768,7 +780,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     there is no match or the TSN is invalid.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getrecordfromlsid("urn:lsid:itis.gov:itis_tsn:180543")
 #     """
@@ -797,7 +809,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Returns the review year for the TSN.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getreviewyearfromtsn(180541)
 #     """
@@ -814,7 +826,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     (names and indicators) of the scientific name.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getscientificnamefromtsn(531894)
 #     """
@@ -862,7 +874,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Returns the author information for the TSN.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.gettaxonauthorshipfromtsn(183671)
 #     """
@@ -878,7 +890,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Returns the usage information for the TSN.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.gettaxonomicusagefromtsn(526852)
 #     """
@@ -894,7 +906,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Get tsn by vernacular language not the international language code (character)
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.gettsnbyvernacularlanguage("french")
 #     """
@@ -912,7 +924,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Gets the TSN corresponding to the LSID, or an empty result if there is no match.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.gettsnfromlsid(lsid="urn:lsid:itis.gov:itis_tsn:28726")
 #         itis.gettsnfromlsid("urn:lsid:itis.gov:itis_tsn:0")
@@ -933,7 +945,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Returns the unacceptability reason, if any, for the TSN.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getunacceptabilityreasonfromtsn(183671)
 #     """
@@ -951,7 +963,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Provides a list of the unique languages used in the vernacular table.
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.getvernacularlanguages()
 #     """
@@ -967,7 +979,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Search for tsn by common name
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.searchbycommonname(x="american bullfrog")
 #         itis.searchbycommonname("ferret-badger")
@@ -986,7 +998,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Search for tsn by common name beginning with
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.searchbycommonnamebeginswith("inch")
 #     """
@@ -1005,7 +1017,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Search for tsn by common name ending with
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.searchbycommonnameendswith("snake")
 #     """
@@ -1023,7 +1035,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     `itis.searchbycommonnamebeginswith` and `itis.searchbycommonnameendswith`
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.searchcommon("inch")
 #         itis.searchcommon("inch", which = "end")
@@ -1039,7 +1051,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Search by scientific name
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.searchbyscientificname(x="Tardigrada")
 #         itis.searchbyscientificname("Quercus douglasii")
@@ -1056,7 +1068,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Search for any match
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.searchforanymatch(x=202385)
 #         itis.searchforanymatch(x="dolphin")
@@ -1081,7 +1093,7 @@ def getgeographicdivisionsfromtsn(tsn, as_dataframe=False, **kwargs):
 #     Search for any matched page for descending (logical)
 
 #     Usage::
-        
+
 #         from pytaxize import itis
 #         itis.searchforanymatchpaged(x=202385, pagesize=100, pagenum=1, ascend=False)
 #         itis.searchforanymatchpaged("Zy", pagesize=100, pagenum=1, ascend=False)
@@ -1229,6 +1241,7 @@ def _tolower(y):
 def gettag(y):
     return y.tag.split("}")[1]
 
+
 def _df(x, as_dataframe=False):
     if as_dataframe and pd:
         if isinstance(x, dict):
@@ -1238,6 +1251,7 @@ def _df(x, as_dataframe=False):
     else:
         return x
 
+
 if __name__ == "__main__":
     import doctest
 
diff --git a/pytaxize/ncbi/ncbi.py b/pytaxize/ncbi/ncbi.py
index 92dec15..1b4c327 100644
--- a/pytaxize/ncbi/ncbi.py
+++ b/pytaxize/ncbi/ncbi.py
@@ -80,11 +80,13 @@ def func(name):
         temp.append(func(sci_com[i]))
     return lists2dict(temp, sci_com)
 
-def _entrez(path = "esearch", args = {}):
+
+def _entrez(path="esearch", args={}):
     url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/%s.fcgi" % path
-    tt = Refactor(url, args, request = 'get').xml()
+    tt = Refactor(url, args, request="get").xml()
     return tt
 
+
 if __name__ == "__main__":
     import doctest
 
diff --git a/pytaxize/sci2comm.py b/pytaxize/sci2comm.py
index dd7de92..0a9be12 100644
--- a/pytaxize/sci2comm.py
+++ b/pytaxize/sci2comm.py
@@ -4,8 +4,9 @@
 from pytaxize.refactor import Refactor
 from pytaxize.ids import Ids
 
-def sci2comm(sci=None, id=None, db='ncbi', **kwargs):
-  """
+
+def sci2comm(sci=None, id=None, db="ncbi", **kwargs):
+    """
   Get common names from scientific names.
 
   :param: sci (str) One or more scientific names or partial names.
@@ -27,23 +28,24 @@ def sci2comm(sci=None, id=None, db='ncbi', **kwargs):
     pytaxize.sci2comm('Pomatomus saltatrix')
     pytaxize.sci2comm('Loxodonta africana')
   """
-  x = Ids(sci)
-  out = x.ncbi()
-  if len(out) > 1:
-    res = [_ncbi_common_names(w["id"], **kwargs) for w in out]
-  else:
-    res = _ncbi_common_names(out[0]["id"], **kwargs)
-  if isinstance(sci, str):
-    sci = [sci]
-  return dict(zip(sci, res))
+    x = Ids(sci)
+    out = x.ncbi()
+    if len(out) > 1:
+        res = [_ncbi_common_names(w["id"], **kwargs) for w in out]
+    else:
+        res = _ncbi_common_names(out[0]["id"], **kwargs)
+    if isinstance(sci, str):
+        sci = [sci]
+    return dict(zip(sci, res))
+
 
 def _ncbi_common_names(x, **kwargs):
-  key = os.environ.get("ENTREZ_KEY")
-  if key is None:
-    raise Exception("ENTREZ_KEY is not defined")
-
-  query = {"db": "taxonomy", "ID": x, "api_key": key}
-  url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi"
-  res = Refactor(url, query, "get").xml(**kwargs)
-  z = res.xpath("//TaxaSet/Taxon/OtherNames/GenbankCommonName")
-  return [w.text for w in z]
+    key = os.environ.get("ENTREZ_KEY")
+    if key is None:
+        raise Exception("ENTREZ_KEY is not defined")
+
+    query = {"db": "taxonomy", "ID": x, "api_key": key}
+    url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi"
+    res = Refactor(url, query, "get").xml(**kwargs)
+    z = res.xpath("//TaxaSet/Taxon/OtherNames/GenbankCommonName")
+    return [w.text for w in z]
diff --git a/pytaxize/tax.py b/pytaxize/tax.py
index fa64f0d..8906bd1 100644
--- a/pytaxize/tax.py
+++ b/pytaxize/tax.py
@@ -14,9 +14,11 @@
     warnings.warn("Pandas library not installed, dataframes disabled")
     pd = None
 
+
 class NoResultException(Exception):
     pass
 
+
 def names_list(rank="genus", size=10, as_dataframe=False):
     """
     Get a random vector of species names.
@@ -47,19 +49,21 @@ def names_list(rank="genus", size=10, as_dataframe=False):
     else:
         return "rank must be one of species, genus, family, or order"
 
+
 def names_list_helper(size, path, as_dataframe=False):
     pnpath = resource_filename(__name__, path)
     if as_dataframe:
-      dat = pd.read_csv(pnpath)
-      return dat["names"][:size].tolist()
+        dat = pd.read_csv(pnpath)
+        return dat["names"][:size].tolist()
     else:
-      with open(pnpath, newline='') as f:
-        reader = csv.reader(f)
-        next(reader)
-        dat = []
-        for row in reader:
-          dat.append(row)
-      return [w[0] for w in dat][:size]
+        with open(pnpath, newline="") as f:
+            reader = csv.reader(f)
+            next(reader)
+            dat = []
+            for row in reader:
+                dat.append(row)
+        return [w[0] for w in dat][:size]
+
 
 def vascan_search(q, format="json", raw=False):
     """
@@ -120,7 +124,7 @@ def scrapenames(
     detect_language=None,
     all_data_sources=None,
     data_source_ids=None,
-    as_dataframe=False
+    as_dataframe=False,
 ):
     """
   Resolve names using Global Names Recognition and Discovery.
@@ -195,7 +199,7 @@ def scrapenames(
     meta = res
     meta.pop("names")
     if as_dataframe:
-      data = _df(data, True)
+        data = _df(data, True)
     return {"meta": meta, "data": data}
     # if out["status"] != 303:
     #     sys.exit("Woops, something went wrong")
diff --git a/pytaxize/taxo.py b/pytaxize/taxo.py
index 9a15653..4af94d6 100644
--- a/pytaxize/taxo.py
+++ b/pytaxize/taxo.py
@@ -10,6 +10,7 @@
     warnings.warn("Pandas library not installed, dataframes disabled")
     pd = None
 
+
 class NoResultException(Exception):
     pass
 
@@ -46,6 +47,7 @@ def taxo_datasources(as_dataframe=False):
     else:
         return out
 
+
 def taxo_resolve(query, source=None, code=None, http="get"):
     """
     Uses Taxosaurus to resolve scientific names
diff --git a/pytaxize/utils.py b/pytaxize/utils.py
index f6b37c7..8b2f7b2 100644
--- a/pytaxize/utils.py
+++ b/pytaxize/utils.py
@@ -1,5 +1,6 @@
 from functools import reduce
 
+
 def assert_range_numeric(x, start, stop):
     if x is None:
         return