Dmitry E. Kislov scidam

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I may be slow to respond.

scidam / main.ipynb

Created November 15, 2022 04:50

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scidam / calc.py

Created December 16, 2021 10:32

Raster calculator based on gdal's `gdal_calc` script for some environmental variables (CKI, WKI, IC, PWKI, PCKI)

	#!/usr/bin/env python3
	# -- coding:utf-8 --
	"""
	Created Date: Saturday December 11th 2021
	Author: Dmitry Kislov
	E-mail: [email protected]
	-----
	Last Modified: Wednesday, December 15th 2021, 2:32:54 pm
	Modified By: Dmitry Kislov
	-----

scidam / linkedin_checker.py

Created November 9, 2021 03:29

My solution to linkenin_checker challenge

	from collections import namedtuple
	import re

	with open('specifications.txt', 'rt') as file:
	specifications = file.read()

	specs = namedtuple('specs', 'range regex')
	#specs range builtin module
	#specs regex from re.compile

scidam / arg_checker.py

Created November 8, 2021 15:59

My solution (as is) to arg_checker challenge

	from functools import wraps


	def arg_checker(*arg_types):
	'''An argument checker decorator that checks both:
	- The number of variables that you use for a function
	- The type of each variable.
	Raises a TypeError if either of these fail'''

	def wrapper(func):

scidam / medals.py

Created November 8, 2021 15:41

My solution to Medal challenge

	from collections import namedtuple

	with open('olympics.txt', 'rt', encoding='utf-8') as file:
	olympics = file.read()

	medal = namedtuple('medal', ['City', 'Edition', 'Sport', 'Discipline', 'Athlete', 'NOC', 'Gender',
	'Event', 'Event_gender', 'Medal'])


	medals = [medal(*line.split(';')) for line in olympics.split('\n')[1:] if line]

scidam / calculator.py

Created November 8, 2021 15:30

My solution to calculator with context manager

	class Calculator:
	def __init__(self, *excps):
	self.exceptions = excps
	self.error = ''

	def __enter__(self):
	return self

	def __exit__(self, exc_type, exc_val, traceback):

scidam / age_slowest_race.py

Created November 8, 2021 15:09

Get slowest race

	# Source of data: https://www.arrs.run/
	# This dataset has race times for women 10k runners from the Association of Road Racing Statisticians
	# Assume a year has 365.25 days

	from datetime import datetime


	def prefil_globals():
	global T_INDX, AT_INDX, RD_INDX, DB_INDX, LOC_INDX
	with open('10k_racetimes.txt', 'rt') as file:

scidam / pairwise_offset.py

Created November 8, 2021 12:15

Offset and fill with '*' by default

	def pairwise_offset(sequence, fillvalue='*', offset=0):
	sequence = list(sequence)
	a = sequence + [fillvalue] * offset if offset > 0 else [fillvalue] * offset + sequence
	b = [fillvalue] * offset + sequence if offset > 0 else sequence + [fillvalue] * offset
	return list(map(tuple, zip(a, b)))

scidam / average_race_time.py

Created November 8, 2021 07:06

Average race time (my solution)

	# Source of data: https://www.arrs.run/
	# This dataset has race times for women 10k runners from the Association of Road Racing Statisticians

	import re
	import datetime

	def get_data():
	"""Return content from the 10k_racetimes.txt file"""
	with open('10k_racetimes.txt', 'rt') as file:
	content = file.read()

scidam / get_areas.py

Last active October 3, 2021 19:17

Getting area from tiffs file (SDM model)

	# -- coding: utf-8 --
	"""
	Created on Sun Jun 7 07:07:17 2020

	@author: dmitry
	"""
	from osgeo import gdal
	import numpy as np

	def get_area(filename='',maskfile='', third=None, threshold=0.8):