timebudget
more-itertools
timebudget | more-itertools | |
---|---|---|
1 | 9 | |
156 | 3,429 | |
- | 0.9% | |
0.0 | 9.0 | |
almost 2 years ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | 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.
timebudget
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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.
And here are some libraries that might pique your interest although they don't strictly answer your question: - tqdm for adding a progress bar on for loops (it comes with useful information like iteration per second and estimated time needed to finish) - alive_progress adds a progress bar like tqdm, but it works even with generators and while loops which I don't think tqdm does. -timebudget, with just a decorator as soon as a function is completed it prints the time taken to execute it - send2trash for sending files to the trash bin instead of permanently deleting them - keyboard for sending keyboard inputs or check if a key is pressed - mouse same as keyboard but with mouse buttons - textract for extracting text from many types of file with a single interface. It supports documents, powerpoint presentations, csv, excels, images, gifs, audio, and many more
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.
What are some alternatives?
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
TheAlgorithms - All Algorithms implemented in Python
algorithms - Minimal examples of data structures and algorithms in Python
python-patterns - A collection of design patterns/idioms in Python
best-of-python - 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
algorithms
Box - Python dictionaries with advanced dot notation access
PyPattyrn - A simple library for implementing common design patterns.
tqdm - :zap: A Fast, Extensible Progress Bar for Python and CLI
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.