bump readme, bump version

README.md

@@ -15,7 +15,12 @@ If you want the full details of **any** SOA table, you can use the lower level `
 ```py
 from pymort import MortXML
 # load the 2017 Loaded CSO Composite Gender-Blended 20% Male ALB table (tableId = 3282)
-xml = MortXML(3282)
+xml = MortXML.from_id(3282)
+# you can load from a file path on your computer
+xml_from_path = MortXML.from_path("t3282.xml")
+# you can load from raw xml text
+xml_str = Path("t3282.xml").read_text()
+xml_from_str = MortXML(xml_str)
 ```
 
 This `MortXML` class is a wrapper around the [underlying XML](https://mort.soa.org/About.aspx). The autocompletions you get on attributes improve the developer experience over using the underlying XML directly.
@@ -34,7 +39,7 @@ For a select and ultimate table we can retrieve rates as follows.
 ```py
 from pymort import MortXML
 # Table 3265 is 2015 VBT Smoker Distinct Male Non-Smoker ANB, see https://mort.soa.org/ 
-xml = MortXML(3265)
+xml = MortXML.from_id(3265)
 # This is the select table as a MultiIndex (age/duration) DataFrame.
 xml.Tables[0].Values
 # This is the minimum value of the issue age axis on the select table
@@ -48,8 +53,8 @@ xml.Tables[1].Values
 We can get the data from Pandas to NumPy.
 
 ```py
-select = MortXML(3265).Tables[0].Values.unstack().values
-ultimate = MortXML(3265).Tables[1].Values.unstack().values
+select = MortXML.from_id(3265).Tables[0].Values.unstack().values
+ultimate = MortXML.from_id(3265).Tables[1].Values.unstack().values
 
 select.shape # (78, 25) ages from 18 to 95, duration from 1 to 25
 ultimate.shape # (103,) is age 18 to 120

pymort/__init__.py

@@ -1,3 +1,3 @@
-__version__ = "1.0.0"
+__version__ = "2.0.0"
 
 from .XML import MortXML as MortXML

tests/test_pymort.py

@@ -2,4 +2,4 @@
 
 
 def test_version():
-    assert __version__ == "1.0.0"
+    assert __version__ == "2.0.0"