Mehdi ghodsizadeh

I hereby claim:

I am ghodsizadeh on github.
I am mghodsizadeh (https://keybase.io/mghodsizadeh) on keybase.
I have a public key whose fingerprint is 8F84 3C83 D14A 1591 ABF9 D494 BDF1 6EFF 8CFC 5574

To claim this, I am signing this object:

	# run `uv run https://gist.githubusercontent.com/ghodsizadeh/476e1d3833ac5bca817125c0c59294ce/raw/e33e56a99d10bee2b1a4f432cb9456c478ee50ed/amsterdam_weather.py`
	# and you'll see the result
	# /// script
	# dependencies = [
	# "requests<3",
	# "rich",
	# ]
	# ///
	import requests
	from rich.console import Console

	#!/bin/bash
	# Inspired by
	# https://www.codeenigma.com/community/blog/using-mdbtools-nix-convert-microsoft-access-mysql

	# USAGE
	# Rename your MDB file to migration-export.mdb
	# run ./mdb2sqlite.sh migration-export.mdb
	# wait and wait a bit longer...

	version: '3.9'
	services:
	metabase-secrets:
	image: metabase/metabase:latest
	container_name: metabase-secrets
	hostname: metabase-secrets
	volumes:
	- /dev/urandom:/dev/random:ro
	ports:
	- 3000:3000

	import pandas as pd
	import requests


	def get_raw_data(stock_id):
	'''
	get raw data of live price request

	'''
	url = f'http://www.tsetmc.com/tsev2/data/instinfodata.aspx?i={stock_id}&c=70%20'

	from sklearn.linear_model import LogisticRegression
	lr = LogisticRegression( C =100.0, random_state=1, solver='lbfgs',multi_class='ovr')
	## uncomment following line to check multi_class option
	# lr = LogisticRegression( C =100.0, random_state=1, solver='lbfgs',multi_class='multinomial')

	lr.fit(X_train_std, y_train)

	lr.score(X_test_std, y_test)

	from sklearn.preprocessing import StandardScaler
	sc = StandardScaler()
	sc.fit(X_train)
	X_train_std = sc.transform(X_train)
	X_test_std = sc.transform(X_test)

	from sklearn import datasets

	iris = datasets.load_iris()
	X = iris.data[:,[2,3]] # just get two features of iris dataset, to plot decision boundry
	y = iris.target
	print('Class Labels', np.unique(y))



	from sklearn.model_selection import train_test_split


	from sklearn import datasets
	import numpy as np
	import matplotlib.pyplot as plt