skillsnetwork 0.19.3

Library for working with Skills Network

Skills Network Python Library

A python library for working with Skills Network.

Installation

JupyterLite Installation

pip install skillsnetwork

Regular Installation (JupyterLab, CLI, etc.)

pip install skillsnetwork[regular]

Usage

JupyterLab / JupyterLite on Skills Network Labs

The skillsnetwork package provides a unified interface for reading/downloading files in JupyterLab and JupyterLite.

Reading a file

content = await skillsnetwork.read("https://example.com/myfile")

Downloading a file

await skillsnetwork.download("https://example.com/myfile", filename=filename)
with open(filename, "r") as f:
    content = f.read()

Preparing a dataset (downloading, unzipping, and unarchiving)

await skillsnetwork.prepare("https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML0187EN-SkillsNetwork/labs/module%203/images/images.tar.gz")

Example migration from old method

Old methods

Naively downloading and unzipping/untarring (runs very slowly on Skills Network Labs):

! wget https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML0187EN-SkillsNetwork/labs/module%203/images/images.tar.gz
print("Images dataset downloaded!")
!tar -xf images.tar.gz
print("Images dataset unzipped!")

Old workaround for better performance (this is confusing to users)

! wget https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML0187EN-SkillsNetwork/labs/module%203/images/images.tar.gz
print("Images dataset downloaded!")
!tar -xf images.tar.gz -C /tmp
!rm -rf images
!ln -sf /tmp/images/ .
print("Images dataset unzipped!")

New and improved method

await skillsnetwork.prepare("https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML0187EN-SkillsNetwork/labs/module%203/images/images.tar.gz")

CV Studio

Environment Variables

• CV_STUDIO_TOKEN
• CV_STUDIO_BASE_URL
• IBMCLOUD_API_KEY

Python Code example

from datetime import datetime
import skillsnetwork.cvstudio
cvstudio = skillsnetwork.cvstudio.CVStudio('token')

cvstudio.report(started=datetime.now(), completed=datetime.now())

cvstudio.report(url="http://vision.skills.network")

CLI example

python -m 'skillsnetwork.cvstudio'

Contributing

Please see CONTRIBUTING.md