prepare for 0.0.5 release

.moban.d/docs/source/index.rst.jj2

@@ -50,7 +50,7 @@ A minimal application may look like this::
         app.run()
 
 
-The tiny application exposes two urls: one for file upload and the other for file donload. The former url presents a simple file upload html and responds back in json with the content of the uploaded file. Here is an `example file <https://github.com/pyexcel/Flask-Excel/blob/master/examples/example_for_upload.csv>` for testing but you can upload any other excel file. The file upload handler uses `request.get_array` to parse the uploaded file and gets an array back. The parameter **file** is coded in the html form::
+The tiny application exposes two urls: one for file upload and the other for file download. The former url presents a simple file upload html and responds back in json with the content of the uploaded file. Here is an `example file <https://github.com/pyexcel/Flask-Excel/blob/master/examples/example_for_upload.csv>` for testing but you can upload any other excel file. The file upload handler uses `request.get_array` to parse the uploaded file and gets an array back. The parameter **file** is coded in the html form::
 
     <input ... name=file>
 
@@ -78,7 +78,7 @@ Continue with the previous example, the data import and export will be explained
 
     # insert database related code here
 
-Alernatively, you can find the complete example on `github <https://github.com/pyexcel/Flask-Excel/blob/master/examples/database_example.py>`_
+Alternatively, you can find the complete example on `github <https://github.com/pyexcel/Flask-Excel/blob/master/examples/database_example.py>`_
 
 Now let's add the following imports first::
 
@@ -310,7 +310,7 @@ Response methods
 
 .. method:: make_response_from_dict(dict, file_type, status=200, file_name=None)
 
-   :param dict: a dictinary of lists
+   :param dict: a dictionary of lists
    :param file_type: same as :meth:`~flask_excel.make_response`
    :param status: same as :meth:`~flask_excel.make_response`
    :param file_name: same as :meth:`~flask_excel.make_response`

README.rst

@@ -40,7 +40,7 @@ to your application.
 The highlighted features are:
 
 #. excel data import into and export from databases
-#. turn uploaded excel file directly into Python data struture
+#. turn uploaded excel file directly into Python data structure
 #. pass Python data structures as an excel file download
 #. provide data persistence as an excel file in server side
 #. supports csv, tsv, csvz, tsvz by default and other formats are supported via
@@ -67,7 +67,7 @@ The highlighted features are:
 .. _pyexcel-ods3: https://github.com/pyexcel/pyexcel-ods3
 .. _pyexcel-text: https://github.com/pyexcel/pyexcel-text
 
-This library makes infomation processing involving various excel files as easy as
+This library makes information processing involving various excel files as easy as
 processing array, dictionary when processing file upload/download, data import into
 and export from SQL databases, information analysis and persistence. It uses
 **pyexcel** and its plugins:

doc/source/conf.py

@@ -17,7 +17,7 @@
 project = u'Flask-Excel'
 copyright = u'2015-2016 Onni Software Ltd.'
 version = '0.0.5'
-release = '0.0.4'
+release = '0.0.5'
 exclude_patterns = []
 pygments_style = 'sphinx'
 import sys  # noqa

doc/source/index.rst

@@ -42,7 +42,7 @@ to your application.
 The highlighted features are:
 
 #. excel data import into and export from databases
-#. turn uploaded excel file directly into Python data struture
+#. turn uploaded excel file directly into Python data structure
 #. pass Python data structures as an excel file download
 #. provide data persistence as an excel file in server side
 #. supports csv, tsv, csvz, tsvz by default and other formats are supported via
@@ -69,7 +69,7 @@ The highlighted features are:
 .. _pyexcel-ods3: https://github.com/pyexcel/pyexcel-ods3
 .. _pyexcel-text: https://github.com/pyexcel/pyexcel-text
 
-This library makes infomation processing involving various excel files as easy as
+This library makes information processing involving various excel files as easy as
 processing array, dictionary when processing file upload/download, data import into
 and export from SQL databases, information analysis and persistence. It uses
 **pyexcel** and its plugins:
@@ -158,7 +158,7 @@ A minimal application may look like this::
         app.run()
 
 
-The tiny application exposes two urls: one for file upload and the other for file donload. The former url presents a simple file upload html and responds back in json with the content of the uploaded file. Here is an `example file <https://github.com/pyexcel/Flask-Excel/blob/master/examples/example_for_upload.csv>` for testing but you can upload any other excel file. The file upload handler uses `request.get_array` to parse the uploaded file and gets an array back. The parameter **file** is coded in the html form::
+The tiny application exposes two urls: one for file upload and the other for file download. The former url presents a simple file upload html and responds back in json with the content of the uploaded file. Here is an `example file <https://github.com/pyexcel/Flask-Excel/blob/master/examples/example_for_upload.csv>` for testing but you can upload any other excel file. The file upload handler uses `request.get_array` to parse the uploaded file and gets an array back. The parameter **file** is coded in the html form::
 
     <input ... name=file>
 
@@ -190,7 +190,7 @@ Continue with the previous example, the data import and export will be explained
 
     # insert database related code here
 
-Alernatively, you can find the complete example on `github <https://github.com/pyexcel/Flask-Excel/blob/master/examples/database_example.py>`_
+Alternatively, you can find the complete example on `github <https://github.com/pyexcel/Flask-Excel/blob/master/examples/database_example.py>`_
 
 Now let's add the following imports first::
 
@@ -429,7 +429,7 @@ Response methods
 
 .. method:: make_response_from_dict(dict, file_type, status=200, file_name=None)
 
-   :param dict: a dictinary of lists
+   :param dict: a dictionary of lists
    :param file_type: same as :meth:`~flask_excel.make_response`
    :param status: same as :meth:`~flask_excel.make_response`
    :param file_name: same as :meth:`~flask_excel.make_response`

doc/source/spelling_wordlist.txt

@@ -0,0 +1,91 @@
+pyexcel
+xlsx
+io
+tsv
+tsvz
+csv
+csvz
+xls
+ods
+xlsm
+xlsx
+rst
+mediawiki
+json
+html
+ordereddict
+param
+django
+bookdict
+url
+sql
+dest
+mapdict
+init
+func
+txt
+rnd
+cd
+moban
+github
+pypy
+userid
+py
+datetime
+filelist
+outfilename
+sheetname
+stdin
+sys
+stdout
+filename
+aset
+formatter
+aformatter
+afilter
+arg
+topleft
+cli
+Numpy
+bottomright
+rStructured
+colnames
+rownames
+PyPy
+nbsp
+middleware
+Pythonic
+formatters
+lineterminator
+initializer
+NamedColumn
+NamedRow
+RowValueFilter
+SingleColumnFilter
+NamedRowFormatter
+RowFormatter
+ColumnFormatter
+sqlalchemy
+adict
+initializers
+rrows
+rvertical
+getitem
+OddRowFilter
+RegionFilter
+versa
+centric
+de
+facto
+organisations
+ezodf
+odfpy
+plugins
+orgtbl
+urls
+webio
+plugin
+Sqllite
+SQLAlchemy
+funcs
+un

flask_excel.yaml

@@ -1,7 +1,7 @@
 overrides: "pyexcel.yaml"
 name: "Flask-Excel"
 version: 0.0.5
-release: 0.0.4
+release: 0.0.5
 webframework: Flask
 dependencies:
   - pyexcel>=0.2.2