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Copy file name to clipboardExpand all lines: README.md
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@@ -1607,7 +1607,7 @@ From the Python 3 [documentation](https://docs.python.org/3/tutorial/datastructu
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### Initializing a set
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There are two ways to create sets: using curly braces `{}` and the bult-in function `set()`
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There are two ways to create sets: using curly braces `{}` and the built-in function `set()`
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```python
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>>> s = {1, 2, 3}
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## itertools Module
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The _itertools_ module is a colection of tools intented to be fast and use memory efficiently when handling iterators (like [lists](#lists) or [dictionaries](#dictionaries-and-structuring-data)).
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The _itertools_ module is a collection of tools intended to be fast and use memory efficiently when handling iterators (like [lists](#lists) or [dictionaries](#dictionaries-and-structuring-data)).
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From the official [Python 3.x documentation](https://docs.python.org/3/library/itertools.html):
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### Anyconfig
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[Anyconfig](https://pypi.python.org/pypi/anyconfig) is a very handy package allowing to abstract completly the underlying configuration fileformat. It allows to load a Python dictionary fromJSON, YAML, TOML, and so on.
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[Anyconfig](https://pypi.python.org/pypi/anyconfig) is a very handy package allowing to abstract completely the underlying configuration fileformat. It allows to load a Python dictionary fromJSON, YAML, TOML, and so on.
Often it’s the code that calls the function, not the function itself, that knows how to handle an expection. So you will commonly see a raise statement inside a function and the tryandexcept statements in the code calling the function.
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Often it’s the code that calls the function, not the function itself, that knows how to handle an exception. So you will commonly see a raise statement inside a function and the tryandexcept statements in the code calling the function.
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