معرفی شرکت ها


collectionish-0.5.0


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Collectionish is a pure python library extending the basic collection data types and operations for working with them.
ویژگی مقدار
سیستم عامل -
نام فایل collectionish-0.5.0
نام collectionish
نسخه کتابخانه 0.5.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Lea Provenzano
ایمیل نویسنده leaprovenzano@gmail.com
آدرس صفحه اصلی https://github.com/leaprovenzano/collectionish
آدرس اینترنتی https://pypi.org/project/collectionish/
مجوز MIT license
# collectionish Collectionish is a pure python library extending the basic collection data types and operations for working with them. ---- [![pypi version](https://img.shields.io/pypi/v/collectionish.svg)](https://pypi.python.org/pypi/collectionish) [![build](https://github.com/leaprovenzano/collectionish/workflows/CI/badge.svg)](https://github.com/leaprovenzano/collectionish/actions) [![documentation status](https://readthedocs.org/projects/collectionish/badge/?version=latest)](https://collectionish.readthedocs.io/en/latest/?badge=latest) [![coverage](https://codecov.io/gh/leaprovenzano/collectionish/branch/master/graph/badge.svg)](https://codecov.io/gh/leaprovenzano/collectionish/branch/master/graph/badge.svg) ------------------------------------------------------------------------ - *Free software*: MIT license - *Documentation*: [docs](https://collectionish.readthedocs.io) - *Supported Python Versions*: >=3.7 ------------------------------------------------------------------------ ## Getting Started: Install the latest stable version with pip: $ pip install collectionish --- ## Checkout the docs: It's best to checkout the [docs](https://collectionish.readthedocs.io). There you'll find detailed documentation of collectionish's features and lots of examples of how to use them. -- ## What's is it? Python is a wonderful language when it comes to extending inbuilt types and making things that quack. `collectionish` subscribes to the ideology that the behaviour of data structures belongs *in* data structures and that it's better and more graceful to bake the behavior into a type than to complicate surrounding business logic creating many more wtf moments and room for bugs to sneak in. Python's own [collections][https://docs.python.org/library/collections.html] module is a great example. take `defaultdict`, how many times have you seen something like this? ``` python pets = [('cat', 'tabby'), ('cat', 'ginger'), ('dog', 'beagle'), ('dog', 'poodle'), ('lizard', 'gecko') ] pet_dict = {} for typ, subtyp in pets: try: pet_dict[typ].append(subtyp) except KeyError: # now we'll need to make an comment to explain... # if the key doesn't exist pet_dict we make a new # list containing the pet's subtype pet_dict[typ] = [subtyp] ``` vs: ``` python from collections import defaultdict pet_dict = defaultdict(list) for typ, subtyp in pets: pet_dict[typ].append(subtyp) ``` `collectionish` adds some extra collections such like ``AttyDict`` (a straightforward recursive dot access `dict` ) and ``UniqueTuple`` ( a tuple of unique items that remembers insertion order). New collections will be added fairly regularly on the basis that they are generic enough and useful enough that i find myself repeating them in other projects. In addition to data structures `collectionish` also provides some operations for working with data structures (from both standard python and `collections`) like the recursive getters and setters ``collectionish.ops``. --- ## Principles: **useful enough:** Inspirations for data structures should come from stuff we've written or needed before at some point. **generic enough:** To be extended within reason. **specific enough:** To be clear about what things do. We don't aim to make *the* data structure or stand in for a pandas dataframe that does everything. **intuitive enough**: type hinting should generally work the same as it does with parent types, signatures should not be wildly different, obvious magic methods or such as `__iter__` should not generally be missing from data types. **documented enough:** All public structures and ops should be documented and have doctest examples so we know its correct and It should be fairly obvious from somethings name what it is. **tested more than enough:** we test with the excellent [hypothesis][https://github.com/HypothesisWorks/hypothesis] library wherever possible. We do doctests to keep documentation correct.


نحوه نصب


نصب پکیج whl collectionish-0.5.0:

    pip install collectionish-0.5.0.whl


نصب پکیج tar.gz collectionish-0.5.0:

    pip install collectionish-0.5.0.tar.gz