ArnulfoPerez

ArnulfoPerez / cross_matching.py

Created December 13, 2020 21:10 — forked from lucassouzavieira/cross_matching.py

	import numpy as np

	# Angular distance
	def angular_distance(r1, d1, r2, d2):
	r1 = np.radians(r1)
	r2 = np.radians(r2)
	d1 = np.radians(d1)
	d2 = np.radians(d2)
	a = np.sin(np.abs(d1 - d2)/2) ** 2
	b = np.cos(d1) * np.cos(d2) * np.sin(np.abs(r1 - r2)/2) ** 2

ArnulfoPerez / course_3_project.py

Created December 11, 2020 17:25 — forked from cibofdevs/course_3_project.py

	import requests_with_caching
	import json

	def get_movies_from_tastedive(title):
	url = 'https://tastedive.com/api/similar'
	param = {}
	param['q']= title
	param['type']= 'movies'
	param['limit']= 5

ArnulfoPerez / min-char-rnn.py

Created October 26, 2020 23:46 — forked from karpathy/min-char-rnn.py

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

ArnulfoPerez / mapa_covid.R

Created May 24, 2020 03:20 — forked from diegovalle/mapa_covid.R

Mapa de casos COVID-19

	## Auto-Install the following packages
	.packs <- c("tidyverse", "lubridate", "ggrepel", "viridis", "scales")
	.success <- suppressWarnings(sapply(.packs, require, character.only = TRUE))
	if (length(names(.success)[!.success])) {
	install.packages(names(.success)[!.success])
	sapply(names(.success)[!.success], require, character.only = TRUE)
	}
	if (!require(mxmaps))
	devtools::install_github("diegovalle/mxmaps")
	library(mxmaps)