Prepare for 1.0 release

Author: EntilZha

CHANGELOG.md

@@ -1,10 +1,25 @@
 # Changelog
 ## Next Release
 
-* Added optional initial value for `reduce`
-* Added table of contents to readme
-* Added data interchange tutorial with pandas
-* Implemented `itertools.starmap` as `Sequence.starmap` and `Sequence.smap`
+
+## Release 1.0.0
+
+Reaching `1.0` primarily means that API stability has been reached so I don't expect to run into many new breaking changes.
+
+### New Features
+
+* Added optional initial value for `reduce` (https://github.com/EntilZha/PyFunctional/issues/86)
+* Added table of contents to readme (https://github.com/EntilZha/PyFunctional/issues/88)
+* Added data interchange tutorial with pandas (https://github.com/EntilZha/PyFunctional/blob/master/examples/PyFunctional-pandas-tutorial.ipynb)
+* Implemented `itertools.starmap` as `Sequence.starmap` and `Sequence.smap` (https://github.com/EntilZha/PyFunctional/issues/90)
+* Added interface to `csv.DictReader` via `seq.csv_dict_reader` (https://github.com/EntilZha/PyFunctional/issues/92)
+* Improved `_html_repr_`, `show` and `tabulate` by auto detecting named tuples as column names (https://github.com/EntilZha/PyFunctional/issues/91)
+* Improved `_html_repr_` and `show` to tell the user 10 of N rows are being shown if there are more than 10 rows (https://github.com/EntilZha/PyFunctional/issues/94)
+
+### Dependencies and Supported Python Versions
+* Bumped version dependencies (https://github.com/EntilZha/PyFunctional/issues/89)
+* Added Python 3.6 via Travis CI testing
+
 
 ## Release 0.8.0
 ### New Features

README.md

@@ -307,6 +307,7 @@ seq.jsonl('filepath')
 
 # csv file
 seq.csv('filepath')
+seq.csv_dict_reader('filepath')
 
 # sqlite3 db and sql query
 seq.sqlite3('filepath', 'select * from data')
@@ -458,7 +459,7 @@ In order to be merged, all pull requests must:
 [Gitter for chat](https://gitter.im/EntilZha/PyFunctional)
 
 ## Supported Python Versions
-`PyFunctional` supports and is tested against Python 2.7, 3.3, 3.4.4, 3.5, and PyPy
+`PyFunctional` supports and is tested against Python 2.7, 3.3, 3.4.4, 3.5, 3.6, and PyPy
 
 ## Changelog
 [Changelog](https://github.com/EntilZha/PyFunctional/blob/master/CHANGELOG.md)
@@ -471,7 +472,7 @@ I am a PhD student in Computer Science at the University of Colorado at Boulder.
 interests include large-scale machine learning, distributed computing, and adjacent fields. I
 completed my undergraduate degree in Computer Science at UC Berkeley in 2015. I have previously done
 research in the UC Berkeley AMPLab with Apache Spark, worked at Trulia as a data scientist,
-and will be working as a data scientist at Oracle Data Cloud this summer.
+and worked as a data scientist at Oracle Data Cloud this past summer.
 
 I created `PyFunctional` while using Python extensively at Trulia, and finding that I missed the
 ease of use for manipulating data that Spark RDDs and Scala collections have. The project takes the

functional/__init__.py

@@ -7,9 +7,9 @@
 from functional.streams import seq, pseq
 
 __author__ = "Pedro Rodriguez"
-__copyright__ = "Copyright 2016, Pedro Rodriguez"
+__copyright__ = "Copyright 2017, Pedro Rodriguez"
 __license__ = "MIT"
-__version__ = "0.8.0"
+__version__ = "1.0.0"
 __maintainer__ = "Pedro Rodriguez"
 __email__ = "ski.rodriguez@gmail.com"
 __status__ = "Production"