Introduction
Juma Shafara 2024-10-30
RTV Pie
RTV pie is a new python package for automating internal data preprocessing for analysis and machine learning for Raising The Village
Table of Contents
- Installation
- Setting up dotenv (
.env) - Downloading files(artifacts) to Weights and Biases (wandb)
- Uploading files(artifacts) to Weights and Biases (wandb)
- Getting variable decordings
- Manipulate datasets
more to follow …
1 maintainer
Release files for rtvpy 0.0.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rtvpy-0.0.20.tar.gz | 18.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rtvpy-0.0.20-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.5 kB
Release files / rtvpy-0.0.20.tar.gz
| Download URL | rtvpy-0.0.20.tar.gz |
|---|---|
| Size | 18.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
95406cbb6396308218a3b29903bada614f2336c40e85230df0068173325d33d3
|
|
BLAKE2b-256 checksum How to use checksums |
75e91bcd9b97f779ed8d332535e2a847bce1c72fe7e1db49ef7c85c930a88fe8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
|
Release files / rtvpy-0.0.20-py3-none-any.whl
| Download URL | rtvpy-0.0.20-py3-none-any.whl |
|---|---|
| Size | 17.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
084c85cf77ee76629b866540286df6eb34d25f99c876d4bec43b19a6b9f7d9d0
|
|
BLAKE2b-256 checksum How to use checksums |
7115e3da511f1117984820ed9046022f7dd16447020c01c2df8532cd5e55fceb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
|
