Data Manipulation
My data manipulation library includes functions build on top of popular Python libraries such as Pandas, PySpark and more.
What is it?
Data Manipulation is a Python package providing powerful utility functions. It contains many subpackages with utility functions built for popular packages such as Pandas, PySpark and many more.
Where to get it
The source code is currently hosted on GitHub at: https://github.com/shawnngtq/data-manipulation
pip install data-manipulation
Dependencies
The dependencies will be installed automatically along with this package, using metadata in pyproject.toml.
License
Maintainer Release
Release and deployment steps are documented in RELEASE.md.
Getting Help
For usage questions, the best place to go to is StackOverflow.
Discussion and Development
Most development discussion is taking place on github in this repo.
Contributing to data manipulation
All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.
As contributors and maintainers to this project, you are expected to abide by our code of conduct. More information can be found at: Contributor Code of Conduct
Metadata
Release files for data-manipulation 0.55
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| data_manipulation-0.55.tar.gz | 61.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| data_manipulation-0.55-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 113.0 kB
Release files / data_manipulation-0.55.tar.gz
| Download URL | data_manipulation-0.55.tar.gz |
|---|---|
| Size | 61.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
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Release files / data_manipulation-0.55-py3-none-any.whl
| Download URL | data_manipulation-0.55-py3-none-any.whl |
|---|---|
| Size | 51.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|