mmngreco

# /// script
# requires-python = ">=3.10"
# dependencies = [
#   "matplotlib",
# ]
# ///
from itertools import chain
import matplotlib.pyplot as plt
import matplotlib.patches as patches

mmngreco

#!python3
"""
PIPX-like tool for conda

Examples
--------
cx install black
cx install black -p 3.11
cx install git+https://github.com/psf/black

mmngreco

#!python3
"""
Examples
--------
$ pipx run https://gist.githubusercontent.com/mmngreco/2d3bc321405b1991277fd6001060df0d/raw/dot2ascii.py help
$ pipx run https://gist.githubusercontent.com/mmngreco/2d3bc321405b1991277fd6001060df0d/raw/dot2ascii.py "graph {a -- b -- c}"
$ echo "graph {rankdir=LR; a -- b -- c }" | pipx run https://gist.githubusercontent.com/mmngreco/2d3bc321405b1991277fd6001060df0d/raw/dot2ascii.py
"""
# /// script
# requires-python = ">=3.10"

mmngreco

import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import convolve2d


def build_filter(size, sigma):
    # Construir matriz gaussiana 3x3
    x = np.arange(-size / 2 + 1, size / 2 + 1)
    y = x[:, np.newaxis]

mmngreco

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mmngreco

var extension = prompt("choose an extension? (csv, xls, xlsx, txt, json, xml, shp, zip)");

var div = document.createElement("div");
div.innerHTML = `
<h1>All ${extension} links</h1>

<button id='findAllLinkBut${extension}'>Find all ${extension} links</button>

<details><summary>Click to expand</summary>

mmngreco

bq query --format=sparse --nouse_legacy_sql '
    WITH temporal AS (
      --   | x      | y            | z        |
      SELECT 1 AS x , "foo"   AS y , true  AS z UNION ALL
      SELECT 2 AS x , "apple" AS y , false AS z UNION ALL
      SELECT 3 AS x , ""      AS y , true  AS z
    ),
    staging as (
      SELECT 1       AS x    , "boo"   AS y   , true  AS z UNION ALL
      SELECT 2       AS x    , "apple" AS y   , false AS z UNION ALL

mmngreco

def is_running_on_ipython():
    try:
        from IPython import get_ipython
    except ImportError:
        return False
 
    if get_ipython() is None:
        return False
    return True

mmngreco

# Airflow resources

* [Ecosystem | Apache Airflow](https://airflow.apache.org/ecosystem/#learning-resources)
* [The Complete Hands-On Introduction to Apache Airflow | Udemy](https://www.udemy.com/course/the-complete-hands-on-course-to-master-apache-airflow/)
* [jghoman/awesome-apache-airflow: Curated list of resources about Apache Airflow](https://github.com/jghoman/awesome-apache-airflow)
* [Apache Airflow: Complete Hands-On Beginner to Advanced Class | Udemy](https://www.udemy.com/course/apache-airflow-course/)
* [Airflow Summit 2022 sessions | Airflow Summit](https://airflowsummit.org/sessions/2022/)
* [Data Engineering Zoomcamp - YouTube](https://www.youtube.com/playlist?list=PL3MmuxUbc_hJed7dXYoJw8DoCuVHhGEQb)

mmngreco

# log_issue.py
"""
We want logging the output of a heavy_task function when the log level is debug.
The problem appears when we use info level and the whole process is being
affected by our debug log statement.


main : reproduce the problem
main_lazy : has the solution.