Powerful data manipulation
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file data_manipulation-0.54.tar.gz.
File metadata
- Download URL: data_manipulation-0.54.tar.gz
- Upload date:
- Size: 43.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68d7aa356b45811634f377130af08acf7e529b5a814a65dc1e82d10de92f6e8a
|
|
| MD5 |
c7ab8dc931696ec85e0f0e51d1673290
|
|
| BLAKE2b-256 |
3e1360643a5e219b762fdad007459fe062658795157b6d1bcae8eaf5cc0bc6d8
|
File details
Details for the file data_manipulation-0.54-py3-none-any.whl.
File metadata
- Download URL: data_manipulation-0.54-py3-none-any.whl
- Upload date:
- Size: 32.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
603030cb833fef2c9c80ad9d7ce204a9ebcc5231f6281451471fb538a7cbcb9a
|
|
| MD5 |
a5913067823850661ffe6248d630c4f3
|
|
| BLAKE2b-256 |
37fe5fa907c3fc099f34e43da938e350a4b76738fb3248038dc1aec73a62989b
|
