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pip install quilt3import quilt3
# Interactive login (for local development, notebooks)
quilt3.login() # Opens browser for OAuth/SSO
# OR use an API key (for automation, CI/CD, scripts)
import os
quilt3.login_with_api_key(os.environ["QUILT_API_KEY"])import quilt3
# Browse available datasets (no auth needed for public data)
packages = list(quilt3.list_packages("s3://quilt-example"))
print(f"Found {len(packages)} public datasets")
# Load a sample dataset
pkg = quilt3.Package.browse("examples/hurdat", "s3://quilt-example")
print(pkg)# Download and read a file (using pkg from previous step)
data_file = pkg["README_NF_QUILT.md"]
content = data_file.get()
print(content)import quilt3
import tempfile
import os
# Create a temporary file
with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f:
f.write("Hello, Quilt!")
temp_file = f.name
# Create a new package
new_pkg = quilt3.Package()
new_pkg.set("my_data.txt", temp_file)
new_pkg.set_meta({"description": "My first Quilt package"})
# Clean up
os.unlink(temp_file)
# Note: Pushing requires S3 credentials, so we'll just show the package
print(f"Package created with {len(new_pkg)} files")