Real Python
realpython.com › how-to-split-a-python-list-into-chunks
How to Split a Python List or Iterable Into Chunks – Real Python
July 23, 2026 - Because slices and ranges in Python ... rightmost one. So, for example, a chunk that starts at index three and ends at index six will contain three elements with indices 3, 4, and 5, respectively....
TutorialsPoint
tutorialspoint.com › python_text_processing › python_chunks_and_chinks.htm
Python Text Processing - Chunks and Chinks
Chunking is the process of grouping similar words together based on the nature of the word. In the below example we define a grammar by which the chunk must be generated. The grammar suggests the sequence of the phrases like nouns and adjectives
00:24
This Python Trick Makes List Splitting 10x Easier! - YouTube
03:19
Python for Beginners #10: Handle Large Files in Chunks to Avoid ...
01:01
Qué es chunk y cómo crearlos con o1 preview #programacion #python ...
02:11
How To Split Any List Into Equally-Sized Chunks (Python Recipes) ...
How To Chunk Documents By LangChain Using Python | Generative AI ...
03:08:59
Mastering Data Chunking in Python: An Essential Skill for Machine ...
Python
docs.python.org › 3.12 › library › chunk.html
chunk — Read IFF chunked data
The proposed usage of the Chunk class defined here is to instantiate an instance at the start of each chunk and read from the instance until it reaches the end, after which a new instance can be instantiated.
GitHub
github.com › isaacus-dev › semchunk
GitHub - isaacus-dev/semchunk: A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks. · GitHub
import semchunk import tiktoken # Transformers and Tiktoken are not dependencies, from transformers import AutoTokenizer # they're just here for demonstration purposes. chunk_size = 4 # A low chunk size is used here for demonstration purposes.
Author: isaacus-dev
Python
docs.python.org › 3.8 › library › chunk.html
chunk — Read IFF chunked data — Python 3.8.20 documentation
The proposed usage of the Chunk class defined here is to instantiate an instance at the start of each chunk and read from the instance until it reaches the end, after which a new instance can be instantiated.
Medium
jillanisofttech.medium.com › optimizing-chunking-strategies-for-retrieval-augmented-generation-rag-applications-with-python-c3ab5060d3e4
Optimizing Chunking Strategies for Retrieval-Augmented Generation (RAG) Applications with Python… | by Jillani Soft Tech | Medium | Medium
August 13, 2024 - In this blog post, we’ll dive into the various chunking strategies used in RAG applications, exploring their strengths, weaknesses, and best use cases. We’ll also provide Python code examples to illustrate how you can implement these strategies in your projects.
Python
docs.python.org › 3.9 › library › chunk.html
chunk — Read IFF chunked data — Python 3.9.25 documentation
The proposed usage of the Chunk class defined here is to instantiate an instance at the start of each chunk and read from the instance until it reaches the end, after which a new instance can be instantiated.
GeeksforGeeks
geeksforgeeks.org › python › break-list-chunks-size-n-python
Break a List into Chunks of Size N in Python - GeeksforGeeks
October 28, 2025 - For Example: a = [1, 2, 3, 4, 5, 6, 7, 8] n = 3 Result: [[1, 2, 3], [4, 5, 6], [7, 8]] Let’s explore different methods one by one. List comprehension is an efficient method for chunking a list into smaller sublists.
Programiz
programiz.com › python-programming › examples › list-chunks
Python Program to Split a List Into Evenly Sized Chunks
To understand this example, you should have the knowledge of the following Python programming topics: ... def split(list_a, chunk_size): for i in range(0, len(list_a), chunk_size): yield list_a[i:i + chunk_size] chunk_size = 2 my_list = [1,2,3,4,5,6,7,8,9] print(list(split(my_list, chunk_size)))
Beautiful Soup
tedboy.github.io › python_stdlib › generated › chunk.html
chunk — Python Standard Library
The __init__ method has one required argument, a file-like object (including a chunk instance), and one optional argument, a flag which specifies whether or not chunks are aligned on 2-byte boundaries. The default is 1, i.e.
Vultr
docs.vultr.com › python › examples › split-a-list-into-evenly-sized-chunks
Python Program to Split a List Into Evenly Sized Chunks | Vultr Docs
April 10, 2025 - This function iterates over the ... to the chunks list. In the example provided, the Python list is split into chunks where each chunk (except possibly the last) has 4 elements....
Python Engineer
python-engineer.com › posts › split_list_in_chunks
How to split a List into equally sized chunks in Python - Python Engineer
from itertools import batched chunks = list(batched(my_list, 3)) # [(0, 1, 2), (3, 4, 5), (6, 7, 8), (9,)] If you can't use Python 3.12 and don't want to reinvent the wheel, you can use the excellent third-party module more-itertools.
Python
docs.python.org › 3.10 › library › chunk.html
chunk — Read IFF chunked data — Python 3.10.19 documentation
Class which represents a chunk. The file argument is expected to be a file-like object. An instance of this class is specifically allowed. The only method that is needed is read(). If the methods seek() and tell() are present and don’t raise an exception, they are also used.
Python
docs.python.org › 3.7 › library › chunk.html
chunk — Read IFF chunked data — Python 3.7.17 documentation
Class which represents a chunk. The file argument is expected to be a file-like object. An instance of this class is specifically allowed. The only method that is needed is read(). If the methods seek() and tell() are present and don’t raise an exception, they are also used.
GeeksforGeeks
geeksforgeeks.org › python › python-chunk-tuples-to-n
Python | Chunk Tuples to N - GeeksforGeeks
April 24, 2023 - Sometimes, while working with data, we can have a problem in which we may need to perform chunking of tuples each of size N. This is popular in applications in which we need to supply data in chunks. Let's discuss certain ways in which this task can be performed. Method #1 : Using list comprehension This is brute and shorthand method to perform this task. In this, we split the N elements at a time and construct a new tuple for them. ... # Python3 code to demonstrate working of # Chunk Tuples to N # using list comprehension # initialize tuple test_tup = (10, 4, 5, 6, 7, 6, 8, 3, 4) # printing original tuple print("The original tuple : " + str(test_tup)) # initialize N N = 3 # Chunk Tuples to N # using list comprehension res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] # printing result print("The tuples after chunking are : " + str(res))
PyTorch
docs.pytorch.org › docs › stable › generated › torch.chunk.html
torch.chunk — PyTorch 2.14 documentation
Redirecting… · Continue to ../../2.14/generated/torch.chunk.html
Reddit
reddit.com › r/learnpython › chunking in python---how to set the "chunk size" of read lines from file read with python open()?
r/learnpython on Reddit: Chunking in Python---How to set the "chunk size" of read lines from file read with Python open()?
September 15, 2016 -
I have a fairly large text file which I would like to run in chunks. In order to do this with the subprocess library, one would execute following shell command:
"cat hugefile.log"
with the code:
import subprocess
task = subprocess.Popen("cat hugefile.log", shell=True, stdout=subprocess.PIPE)
data = task.stdout.read()
Using print(data) will spit out the entire contents of the file at once. How can I present the number of chunks, and then access the contents of this file by the chunk size (e.g. chunk = three lines at a time).
It must be something like:
chunksize = 1000 # break up hugefile.log into 1000 chunks
for chunk in data:
print(chunk)
The equivalent question with Python open() of course uses the code
with open('hugefile.log', 'r') as f:
read_data = f.read()
How would you read_data in chunks?
Top answer 1 of 3
5
Maybe I'm missing something, but why don't you just use read()'s size argument?
To read a file’s contents, call f.read(size), which reads some quantity of data and returns it as a string (in text mode) or bytes object (in binary mode). size is an optional numeric argument. When size is omitted or negative, the entire contents of the file will be read and returned; it’s your problem if the file is twice as large as your machine’s memory. Otherwise, at most size bytes are read and returned.
chunksize = 1000
with open('hugefile.log', 'r') as f:
while True:
read_data = f.read(chunksize)
if not read_data:
break # done
print(read_data) 2 of 3
2
is the chunk supposed to be a list of 3 lines or a single string made by combining 3 lines?
PyPI
pypi.org › project › chunk
chunk · PyPI
You’ll get: Chunk, chunkify, and unchunkify. ... $ python -m chunk.test $ python -m chunk.test -v | tail -n22 1 items had no tests: chunk.fromYAML 16 items passed all tests: 8 tests in chunk 13 tests in chunk.Chunk 7 tests in chunk.Chunk.__contains__ 4 tests in chunk.Chunk.__delattr__ 7 tests in chunk.Chunk.__getattr__ 3 tests in chunk.Chunk.__repr__ 5 tests in chunk.Chunk.__setattr__ 2 tests in chunk.Chunk.fromDict 2 tests in chunk.Chunk.toDict 5 tests in chunk.chunkify 2 tests in chunk.from_yaml 3 tests in chunk.toJSON 6 tests in chunk.toYAML 3 tests in chunk.to_yaml 3 tests in chunk.to_yaml_safe 4 tests in chunk.unchunkify 77 tests in 17 items.
docs.python.org
docs.python.org › 3 › library › chunk.html
chunk — Read IFF chunked data
The last version of Python that provided the chunk module was Python 3.12. ... © Copyright 2001 Python Software Foundation. This page is licensed under the Python Software Foundation License Version 2. Examples, recipes, and other code in the documentation are additionally licensed under the ...
OneUptime
oneuptime.com › home › blog › how to split a list into chunks in python
How to Split a List Into Chunks in Python
January 25, 2026 - The generator approach uses constant extra memory for the chunks being produced, while the list comprehension uses memory proportional to the number of chunks. For most cases, the list comprehension is clear and sufficient. Switch to a generator when working with large datasets or when memory is constrained. Use itertools.batched if you are on Python 3.12 or later for a clean standard library solution.