diff --git a/README.md b/README.md
new file mode 100644
index 0000000..327a569
--- /dev/null
+++ b/README.md
@@ -0,0 +1 @@
+"# iers" 
diff --git a/iers/__init__.py b/iers/__init__.py
new file mode 100644
index 0000000..bb67a43
--- /dev/null
+++ b/iers/__init__.py
@@ -0,0 +1 @@
+from .core import *
diff --git a/iers/core.py b/iers/core.py
new file mode 100644
index 0000000..73b612f
--- /dev/null
+++ b/iers/core.py
@@ -0,0 +1,68 @@
+##from datetime import datetime
+##import numpy as np
+##import matplotlib.pyplot as plt
+##import os
+##from urllib.request import urlretrieve
+import pandas as pd
+from .utils import files_dc
+
+def __extract(file):
+    with open(file, 'r') as f:
+        raw = f.read()
+    rawlist = raw.split('\n')
+    data = []
+    for row in rawlist:
+        if len(row)>0:
+            if row[0]!='#':
+                rowlist = row.split(' ')
+                rowlist = [float(i) for i in rowlist if len(i)>0]
+                data.append(rowlist)
+    return raw, data
+
+
+def create_df(file, first_col=None, int_cols=None):
+    """
+    Create DataFrame from a text file
+
+    Arguments:
+    ----------
+        file      : path of file to open
+        first_col : first column of data; (for trying to extract column names)
+        int_cols  : columns whose data type are integer (1-based numbers)
+
+    Returns:
+    --------
+        dataframe
+    """
+    raw, data = __extract(file)
+    columns = None
+    
+    if file.split('/')[-1] in files_dc.keys():
+        file = file.split('/')[-1]
+        if len(files_dc[file]['cols']) > 0:
+            columns = files_dc[file]['cols']
+        if len(files_dc[file]['int']) > 0:
+            int_cols = files_dc[file]['int']
+    if first_col is not None:
+        i1 = raw.find(first_col)
+        i2 = raw.find('\n', i1)
+        columns = raw[i1:i2].split(' ')
+        columns = [i for i in columns if len(i)>0]
+
+    if (columns is not None) and (len(data[0])!=len(columns)):
+        columns = None
+    
+    df = pd.DataFrame(data, columns=columns)
+    if int_cols is not None:
+        int_col_names = []
+        for i in int_cols:
+            int_col_names.append(list(df.columns)[i-1])
+        df[int_col_names] = df[int_col_names].astype(int)
+    return df
+
+
+def serop_to_df(file):
+    """series/operational to DataFrame"""
+    return create_df(file, first_col='MJD', int_cols=[17,18,19])
+
+
diff --git a/iers/utils.py b/iers/utils.py
new file mode 100644
index 0000000..ae61f5f
--- /dev/null
+++ b/iers/utils.py
@@ -0,0 +1,46 @@
+bs01 = ['an','x','x_er','y','y_er','UT1-TAI','UT1_er',
+        'dX',  'dX_er',  'dY',  'dY_er'  ]
+
+bs02 = ['an','x','x_er','y','y_er','UT1-TAI','UT1_er',
+        'dPsi','dPsi_er','dEps','dEps_er']
+
+
+files_dc = {
+    
+    'eopc01.iau2000.1900-now.dat': {
+        'adr':'eop/eopc01',
+        'cols': bs01,
+        'int':[],
+        },
+    
+    'eopc01.1846-now': {
+        'adr':'eop/eopc01',
+        'cols':[],
+        'int':[17, 18, 19],
+        },
+
+    'eopc01.iau2000.1846-now': {
+        'adr':'eop/eopc01',
+        'cols':['MJD','PM-X','PM-Y','UT1-TAI','DX','DY','X-ERR','Y-ERR',
+                'UT1-ERR','DX-ERR','DY-ERR','RMS DELAY','CORR X-Y','CORR X-U',
+                'CORR Y-U','CORR DX-DY','IND1','IND2','IND3','XRT','YRT',
+                'LOD','DXRT','DYRT','XRT-ERR','YRT-ERR','LOD-ERR','DXRT-ERR',
+                'DYRT-ERR'],
+        'int':[17,18,19],
+        },
+
+    'eopc01.1900-now.dat': {
+        'adr':'',
+        'cols': bs02,
+        'int': [],
+        },
+
+    'TEMPLATE': {
+        'adr': '',
+        'cols': [],
+        'int': [],
+        },
+
+    }
+
+