tcollections: Typed Collections
This package offers a set of collection and grouping types that are useful for data pipelines. The collections here offer a style that maintains the clarity and structure of traditional Python data structures while exposing a functional interface inspired by popular data science packages such as pandas.
Installation
pip install tcollections
Quick Start
from tcollections import tlist, group
# Create a typed list
data = tlist([1, 2, 3, 4, 5])
# Group data
groups = group(data, key=lambda x: x % 2)
Examples
See the examples in examples/ for detailed usage examples:
01_introduction.ipynb- Basic introduction to tcollections02_data_analysis.ipynb- Data analysis examples
Features
- Typed Collections:
tlistandtsetwith enhanced functionality - Grouping Operations: Powerful grouping and aggregation functions
- Functional Interface: Clean, chainable operations
- Data Pipeline Ready: Designed for data processing workflows
1 maintainer
Metadata
1 maintainer
Release files for tcollections 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tcollections-0.1.0.tar.gz | 16.5 kB | Without provenance | Details for tcollections-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tcollections-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for tcollections-0.1.0-py3-none-any.whl |
Total release size: 30.9 kB
Release files / tcollections-0.1.0.tar.gz
| Download URL | tcollections-0.1.0.tar.gz |
|---|---|
| Size | 16.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0241bb45bd5c323b5c78944c216d796a5227f846d8c344a3fbe3ba821f8c3022
|
|
BLAKE2b-256 checksum How to use checksums |
fda390928ce16875813345277655c46d699cca7d6aaa2ff63a454ebb9901e27e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.4
|
Release files / tcollections-0.1.0-py3-none-any.whl
| Download URL | tcollections-0.1.0-py3-none-any.whl |
|---|---|
| Size | 14.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3dc9d12cd33c9d85bbb9242555a43e0f3bec3693212dde8351da9c6a158c6397
|
|
BLAKE2b-256 checksum How to use checksums |
526d732e0540aa7e92c4eae945cd1c710bc9c523f47fc889c2e363a026372fb9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.4
|
Security for tcollections 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
