pydplyr
Simplicity and conciseness of R with the blazing speed of Rust.
For first Release, I'll be using Pandas instead of Rust for the initial version .
Key Features:
- 5 verbs for Data work
- Follows grammar of graphics for visualizations
- Simplified Regular Expressions
Five verbs available
- Arrange
- Select
- Filter
- Filter with groups
- Mutate
- Mutate with groups
- Summarize
- Summarize with groups
The power of combining verbs
Grammar of Graphics
- Data
- Aesthetics
- Geometrics
- Facets
- Statistics
- Coordinates
- Themes
Simplified RegEx
With the simplified Regular Expressions, you will get the power of using RegEx at your conveniance, unlocking the power of unexplored RegEx
Metadata
Release files for pydplyr 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydplyr-0.1.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydplyr-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.1 kB
Release files / pydplyr-0.1.tar.gz
| Download URL | pydplyr-0.1.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/5.1.1 CPython/3.12.7
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Release files / pydplyr-0.1-py3-none-any.whl
| Download URL | pydplyr-0.1-py3-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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