Some useful tools for Python [in context of Data Science]
Here I gather functions that are handful in Data Science & Machine Learning projects.
All functions are described by their docstrings, rendering documentation is next step.
Installation
It's published on PyPI, so simply
pip install somepytools
Reference
Modules includes:
- extended typing module
- common read-write operations for configs
- utils to work with filesystem
- functions to handle videos in opencv
- torch utilities (infer and count parameters)
- even more (e.g. wrapper to convert strings inputs to
pathlib)
For now it's better to go through the files and look at contents
1 maintainer
Metadata
1 maintainer
Release files for somepytools 1.6.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| somepytools-1.6.2.tar.gz | 12.1 kB | Without provenance | Details for somepytools-1.6.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| somepytools-1.6.2-py3-none-any.whl | Python 3 | none | any | Details for somepytools-1.6.2-py3-none-any.whl |
Total release size: 27.0 kB
Release files / somepytools-1.6.2.tar.gz
| Download URL | somepytools-1.6.2.tar.gz |
|---|---|
| Size | 12.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / somepytools-1.6.2-py3-none-any.whl
| Download URL | somepytools-1.6.2-py3-none-any.whl |
|---|---|
| Size | 14.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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Security for somepytools 1.6.2
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