$ uname -r
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""" Unsupervised evaluation metrics. """ | |
# License: BSD Style. | |
from itertools import combinations | |
import numpy as np | |
from sklearn.utils import check_random_state | |
from sklearn.metrics.pairwise import distance_metrics | |
from sklearn.metrics.pairwise import pairwise_distances |
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N.B. SQLAlchemy now incorporates all of this information in its documentation; I’m leaving this post here, but recommend referring to SQLAlchemy instead of these instructions.
- We’ll assume you already have SQLAlchemy and Pandas installed; these are included by default in many Python distributions.
- Install the cx_Oracle package in your Python environment, using either
pip
orconda
, for example:
When exporting a Postman Collection, the body of a request is stored in the "raw" property as a single string.
When using git diff
, it is hard to compare the changes because the whole line has changed.
It is possible to define in a .gitattributes file what diff driver to use.