biglist
The package biglist provides persisted, out-of-memory Python data structures that implement the Sequence and Iterable interfaces with the capabilities of concurrent and distributed reading and writing. The main use case is sequentially processing large amounts of data that can not fit in memory. Persistence can be on local disk or in cloud storage.
Read the documentation.
Reference
A very early version of this work is described in a blog post.
Status
Production ready.
Python version
3.10 or newer.
Metadata
Release files for biglist 0.9.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| biglist-0.9.6.tar.gz | 31.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| biglist-0.9.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.5 kB
Release files / biglist-0.9.6.tar.gz
| Download URL | biglist-0.9.6.tar.gz |
|---|---|
| Size | 31.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
|
Release files / biglist-0.9.6-py3-none-any.whl
| Download URL | biglist-0.9.6-py3-none-any.whl |
|---|---|
| Size | 33.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
|