tdk-py 0.1.0

Sample usage

tdk.gts is used to access TDK’s GTS, the up-to-date Turkish dictionary (Güncel Türkçe Sözlük).

>>> import tdk.gtsfrom src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>> import tdk.gtsfrom src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>> import tdk.gts
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>> import tdk.gts
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>> import tdk.gts
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>> import tdk.gts
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>>
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>>
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>>
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>>
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>>
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>>
from src import tdk
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:

>>> import tdk.gts
>>> list(tdk.gts.search("merkeziyetçilik"))
[<Entry 41635 (merkeziyetçilik)>]

tdk-py’s querying functions return iterators. The query is made and its response is held in memory. Then, its elements are parsed one-by-one when requested. This makes sure that you don’t wait for a long time to parse all search results at the start of a loop.

>>> for number, entry in enumerate(tdk.gts.search("bar")):  # "bar" is searched, all responses are held in memory.
...     # They are parsed one by one.
...     for meaning in entry.meanings:
...         print(number+1, entry.entry, meaning.meaning)
...
1 bar Anadolu'nun doğu ve kuzey bölgesinde, en çok Artvin ve Erzurum yörelerinde el ele tutuşularak oynanan, ağır ritimli bir halk oyunu
2 bar Danslı, içkili eğlence yeri
2 bar Ayaküstü içki içilen eğlence yeri
2 bar Amerikan bar
3 bar Hava basıncı birimi
4 bar Ateşten, mide bozukluğundan, ağızda, dil ve dişlerde meydana gelen acılık, pas
5 bar Halter sporunda ağırlığı oluşturan kiloları birbirine bağlayan metal çubuk

You can query suggestions for misspelt words or for other similar words.

>>> tdk.gts.get_suggestions("feldispat")
['feldspat', 'felekiyat', 'ispat']
>>> tdk.gts.get_suggestions("feldspat")
['espas', 'felah', 'felaket', 'felekiyat', 'fellah', 'felsefe', 'felsefi']

You can perform complex analyses very easily. Let’s see the distribution of entries by the number of maximum consecutive consonants.

>>> from tdk.tools import max_streak
>>> from tdk.alphabet import CONSONANTS
>>> annotated_list = [max_streak(word=x, targets=CONSONANTS) for x in tdk.gts.get_index()]
>>> for i in set(annotated_list):
...     print(i, annotated_list.count(i))
0 19
1 15199
2 73511
3 3605
4 68
5 5

License

tdk-py’s source code is provided under the MIT License.

Copyright © 2021 Emre Özcan