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Fernando Felix fernandojunior

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@devStepsize
devStepsize / slack_webhook_post.py
Last active December 14, 2024 22:20
POST a JSON payload to a Slack Incoming Webhook using Python requests
'''
This is an example of how to send data to Slack webhooks in Python with the
requests module.
Detailed documentation of Slack Incoming Webhooks:
https://api.slack.com/incoming-webhooks
'''
import json
import requests
@jh00nbr
jh00nbr / cpf_consulta_api_sus.py
Last active May 17, 2023 17:36
Script simples para consulta de dados na base dados nacional do SUS utilizando o CPF.
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests,json,sys
# Script simples para consulta de dados na base dados nacional do SUS utilizando o CPF.
# Jhonathan Davi A.K.A jh00nbr / Insightl4b lab.insightsecurity.com.br
# jh00nbr: http://jhonathandavi.com.br
# Blog: lab.insightsecurity.com.br
# Github: github.com/jh00nbr
# Twitter @jh00nbr
@Valian
Valian / arbitrage.py
Created January 18, 2018 23:33
Short script for finding Binance Triangle arbitrage opportunities - requires python-binance installed
from collections import defaultdict
from operator import itemgetter
from time import time
from binance.client import Client
FEE = 0.0005
PRIMARY = ['ETH', 'USDT', 'BTC', 'BNB']
@rvaidya
rvaidya / database_to_parquet.py
Last active February 24, 2025 11:24
Dump database table to parquet file using sqlalchemy and fastparquet. Useful for loading large tables into pandas / Dask, since read_sql_table will hammer the server with queries if the # of partitions/chunks is high. Using this you write a temp parquet file, then use read_parquet to get the data into a DataFrame
import pandas as pd
import numpy as np
import fastparquet
from sqlalchemy import create_engine, schema, Table
# Copied from pandas with modifications
def __get_dtype(column, sqltype):
import sqlalchemy.dialects as sqld
@nhymxu
nhymxu / README-python-framework-benchmark.md
Last active April 3, 2025 09:58
Flask vs Falcon vs FastAPI benchmark 
gunicorn run:app --workers=9
gunicorn run:app --workers=9 --worker-class=meinheld.gmeinheld.MeinheldWorker

Macbook Pro 2015 Python 3.7

Framework Server Req/s Max latency +/- Stdev
@pycaret
pycaret / compare_models.py
Created August 1, 2020 01:02
# import classification module
from pycaret.classification import *
# init setup
clf1 = setup(data, target = 'name-of-target')
# return best model
best = compare_models()
# return best model based on Recall