antoinedelia

Things I learned while doing Advent of Code 2022

• itertools.accumulate
• string.ascii_letters
• complex type
• max function
• locals
• Modular arithmetics
• Basic regex to find numbers

antoinedelia

from timeit import repeat

setup = 'x = ("a", "b", "c", "d"); idx = 2'

stmt_range = """
[x[i] for i in range(len(x)) if i != 2]
"""

stmt_slice = """
list(x[:2] + x[3:])

antoinedelia

pm.sendRequest({
    url: "https://YOUR_COGNITO_DOMAIN_NAME_HERE.auth.eu-west-1.amazoncognito.com/oauth2/token",
    method: 'POST',
    header: {
        'Content-Type': 'application/x-www-form-urlencoded'
    },
    body: {
        mode: 'urlencoded',
        urlencoded: [
            {

antoinedelia

import logging
import os

LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")
LOG_FILE_NAME = os.getenv("LOG_FILE_NAME", "log.txt")


class Color:
    """An enum for the different colors available for printing
    """

antoinedelia

How to make pandas as an AWS layer

1. Install pandas to local directory with pip: pip install -t . pandas

2. Remove pandas and numpy directories rm -r pandas numpy

3. Download the Linux distribution for pandas (choose the Python version that you want to use): https://pypi.org/project/pandas/#files

4. Download the Linux distribution for numpy (must be the same as the pandas one): https://pypi.org/project/numpy/#files

antoinedelia

fields @timestamp, @message, @logStream
| parse @message "[*][*] *" as loggingTime, loggingType, loggingMessage
| filter loggingType in ["ERROR", "WARNING", "DEBUG", "INFO"]
| display loggingTime, loggingType, loggingMessage
| filter loggingMessage like "my search criteria"
| sort @timestamp desc
| limit 1000

antoinedelia

service: service-name

provider:
  name: aws
  stage: ${opt:stage, 'prod'}
  runtime: ${opt:runtime, 'python3.8'}
  region: ${opt:region, 'eu-west-1'}
  deploymentBucket:
    name: deployment_bucket_name
  iamRoleStatements: 

antoinedelia

# Open the current cmd path to the current VS Code window
code . -r

# Print the result of a command in bash
echo $(operation)

# Pretty print json output in bash
echo '{"first_name":"Antoine","last_name":"Delia"}' | python -m json.tool

antoinedelia

{
    "python.pythonPath": "/Users/antoine.delia/.pyenv/versions/3.9.0/bin/python",
    "python.formatting.autopep8Args": ["--max-line-length", "100"],
    "python.linting.pylintEnabled": false,
    "python.linting.flake8Enabled": true,
    "python.linting.enabled": true,
    "python.linting.flake8Args": [
        "--max-line-length", "200"
    ],
    "autoDocstring.docstringFormat": "sphinx",