Connect and send a dataset
from squeylab import send_to_squey
import pandas as pd
squey = send_to_squey.connect(
endpoint="3.222.243.61.aws.squeylab.com",
auth=("squey", "p@$$w0rd!")
)
df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
squey.import_data(df, dataset_name="my_dataset")Start the instance
from squeylab import send_to_squey
send_to_squey.start_instance(instance_id="i-0eb3fbba537abfa95")1 maintainer
Metadata
1 maintainer
Release files for send-to-squey 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| send_to_squey-1.0.0.tar.gz | 17.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| send_to_squey-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.6 kB
Release files / send_to_squey-1.0.0.tar.gz
| Download URL | send_to_squey-1.0.0.tar.gz |
|---|---|
| Size | 17.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.12.3
|
Release files / send_to_squey-1.0.0-py3-none-any.whl
| Download URL | send_to_squey-1.0.0-py3-none-any.whl |
|---|---|
| Size | 17.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.3
|
