CleverCSV Release 0.7.1

* Remove deprecated wrapper functions
* Expand URL regex to support ``localhost:<port>`` urls
* Minor changes to the TypeDetector API
* Add cChardet as optional dependency (fixes [#48](#48))

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog
 
+## Version 0.7.1
+
+* Remove deprecated wrapper functions
+* Expand URL regex to support ``localhost:<port>`` urls
+* Minor changes to the TypeDetector API
+* Add cChardet as optional dependency (fixes 
+  [#48](https://github.com/alan-turing-institute/CleverCSV/issues/48))
+
 ## Version 0.7.0
 
 * Add a JSON object data type to address a specific failure case 

README.md

@@ -223,11 +223,14 @@ with open("data.csv", "r", newline="") as fp:
   rows = list(reader)
 ```
 
-For large files, you can speed up detection by supplying a smaller sample to 
-the sniffer, for instance:
+For **large files**, you can speed up detection by supplying a smaller sample 
+to the sniffer, for example:
 ```python
 dialect = clevercsv.Sniffer().sniff(fp.read(10000))
 ```
+You can also speed up encoding detection by installing 
+[cCharDet](https://github.com/PyYoshi/cChardet), it will automatically be used 
+when it is available on the system.
 
 That's the basics! If you want more details, you can look at the code of the 
 package, the test suite, or the [API 

docs/CHANGELOG.rst

@@ -2,6 +2,16 @@
 Changelog
 =========
 
+Version 0.7.1
+-------------
+
+
+* Remove deprecated wrapper functions
+* Expand URL regex to support ``localhost:<port>`` urls
+* Minor changes to the TypeDetector API
+* Add cChardet as optional dependency (fixes 
+  `#48 <https://github.com/alan-turing-institute/CleverCSV/issues/48>`_\ )
+
 Version 0.7.0
 -------------
 

docs/README.rst

@@ -239,13 +239,17 @@ the Python CSV module:
      reader = clevercsv.reader(fp, dialect)
      rows = list(reader)
 
-For large files, you can speed up detection by supplying a smaller sample to 
-the sniffer, for instance:
+For **large files**\ , you can speed up detection by supplying a smaller sample 
+to the sniffer, for example:
 
 .. code-block:: python
 
    dialect = clevercsv.Sniffer().sniff(fp.read(10000))
 
+You can also speed up encoding detection by installing 
+`cCharDet <https://github.com/PyYoshi/cChardet>`_\ , it will automatically be used 
+when it is available on the system.
+
 That's the basics! If you want more details, you can look at the code of the 
 package, the test suite, or the `API 
 documentation <https://clevercsv.readthedocs.io/en/latest/source/modules.html>`_.