algorithms
Minimal examples of data structures and algorithms in Python (by keon)
more-itertools
More routines for operating on iterables, beyond itertools (by more-itertools)
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| algorithms | more-itertools | |
|---|---|---|
| 3 | 9 | |
| 23,540 | 3,423 | |
| - | 1.6% | |
| 4.7 | 9.1 | |
| 11 days ago | 12 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
algorithms
Posts with mentions or reviews of algorithms.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-28.
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algorithms VS CXXGraph - a user suggested alternative
2 projects | 28 Feb 2022
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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.
- Resources To Learn Data Structures And Algorithms
more-itertools
Posts with mentions or reviews of more-itertools.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-16.
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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.
What are some alternatives?
When comparing algorithms and more-itertools you can also consider the following projects:
searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
TheAlgorithms - All Algorithms implemented in Python
Box - Python dictionaries with advanced dot notation access
python-patterns - A collection of design patterns/idioms in Python
algorithms_illuminated - Python implementations and tests for the Algorithms Illuminated book series. Some test cases from the following repository: https://github.com/beaunus/stanford-algs
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
threeXYZgraphing - 3d xyz graphing using threejs
PyPattyrn - A simple library for implementing common design patterns.
nimpy - Nim - Python bridge
algorithms
timebudget - Stupidly-simple speed measurements for Python.
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
algorithms vs searxng
more-itertools vs TheAlgorithms
algorithms vs Box
more-itertools vs python-patterns
algorithms vs algorithms_illuminated
more-itertools vs sortedcontainers
algorithms vs threeXYZgraphing
more-itertools vs PyPattyrn
algorithms vs nimpy
more-itertools vs algorithms
algorithms vs timebudget
more-itertools vs python-ds