more-itertools
Box
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more-itertools | Box | |
---|---|---|
9 | 12 | |
3,423 | 2,358 | |
1.6% | - | |
9.1 | 2.1 | |
12 days ago | 7 days ago | |
Python | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
more-itertools
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I want to learn reading other people code
I'd bet that reading through more-itertools would be a good exercise.
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Why iter() & next()
check out the code examples in itertools and the source code of more-itertools if you want to see cases where next and iter get used by themselves.
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Quick way to split and zip a list?
from itertools import islice # Copied from the more-itertools library (MIT license) # https://github.com/more-itertools/more-itertools def batched(iterable, n): "Batch data into lists of length n. The last batch may be shorter." # batched('ABCDEFG', 3) --> ABC DEF G if n < 1: raise ValueError('n must be at least one') it = iter(iterable) while (batch := list(islice(it, n))): yield batch
- more-itertools: More routines for operating on iterables, beyond itertools
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How do I loop this?
more_itertools.chunked
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Is there a better way to write this code?
I've had a tab open to more-itertools on github for weeks; maybe I should go read it...
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Help loading data in batches
The popular more-itertools library implements (among many others) a chunked method which yields lists of size n from an iterator. There is also the ichunked method which yields iterators of size n instead of lists.
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How to find missing number in groups(lists)
There's a function called consecutive_groups in the more-itertools library that will do this for you efficiently.
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I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
Here are some that might answer your question: - algorithms is a library which contains many of the most useful algorithms for sorting, searching, working with trees, math algorithms like factorials, prime finders and many more - data classes to save you the trouble of writing everytime special methods in a class like init, repr, set, get - box allows the use of dot on dictionaries to access the keys - more-itertools for more routines to operate on iterables than those itertools provide.
Box
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DotDict: A simple Python library to make chained attributes possible
This seems similar to the functionality exposed by Box.
https://github.com/cdgriffith/Box/wiki/Types-of-Boxes#defaul...
- Best way to get a dict-like object with dot notations? Class attributes, or other options?
- I've built a PathDict, a library that makes it easy to work with dicts!
- GitHub - cdgriffith/Box: Python dictionaries with advanced dot notation access
- Box – Python dictionaries with advanced dot notation access
- Box – Python dictionary with dot notation
- What would you want to see in Python?
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I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
Here are some that might answer your question: - algorithms is a library which contains many of the most useful algorithms for sorting, searching, working with trees, math algorithms like factorials, prime finders and many more - data classes to save you the trouble of writing everytime special methods in a class like init, repr, set, get - box allows the use of dot on dictionaries to access the keys - more-itertools for more routines to operate on iterables than those itertools provide.
What are some alternatives?
TheAlgorithms - All Algorithms implemented in Python
bidict - The bidirectional mapping library for Python.
python-patterns - A collection of design patterns/idioms in Python
dataclasses
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
DottedDict - Python library that provides a method of accessing lists and dicts with a dotted path notation.
PyPattyrn - A simple library for implementing common design patterns.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
algorithms
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
nimpy - Nim - Python bridge