JAWSume
Use AWSume in Jupyter to access AWS resources.
Installation
$ pip install jawsume
Usage
from jawsume import jawsume
jawsume("<profile-name>")
You will be prompted for the MFA token.
Just like AWSume, this will set the following environment variables:
AWS_ACCESS_KEY_IDAWS_SECRET_ACCESS_KEYAWS_SESSION_TOKENAWS_REGIONAWSUME_PROFILEAWSUME_EXPIRATION
Non-interactive mode
You can also directly pass the MFA code:
jawsume("<profile-name>", "<mfa-token>")
What can I do then?
You can then for instance read Apache Parquet files from Amazon S3.
import pandas as pd
df = pd.read_parquet("s3://<bucket-name>/<path-name>.parquet/")
Metadata
Release files for jawsume 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jawsume-0.1.0.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jawsume-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / jawsume-0.1.0.tar.gz
| Download URL | jawsume-0.1.0.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.13
|
Release files / jawsume-0.1.0-py3-none-any.whl
| Download URL | jawsume-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3ee2b8ec95e21bc40865399963ab2f8774f075de22bfda79d6e0068ffcffa803
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.13
|