Athospd

f <- function(x) cos(x*20)
expi <- function(x) cos(x) + sin(x)*1i
par(mfrow = c(1,2))
L <- 40
medias_Re <- c()
fs <- c()
as <- seq(0.01, 1, l = 140)

animation::saveGIF({
  for(a in as) {

ih2502mk

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

hadley

# =======================================
# =     Enhancements to data tidying    =
# =          Hadley Wickham             =
# = https://rstd.io/tidyhancements-2019 =
# =======================================

# What is tidy data? ----------------------------------------------------------
# 1. Each column is a variable.
# 2. Each row is an observation.
# 3. Each cell is a value.

jthomasmock

---
title: "The Best Tacos in Austin according to Caitlin Hudon"
output: 
  flexdashboard::flex_dashboard:
    orientation: column
    vertical_layout: fill
---

```{r setup, include=FALSE}
library(flexdashboard)

thomasp85

upper <- seq(0, pi, length.out = 181)[-181]
upper <-cbind(x = cos(upper), y = sin(upper))
lower <- seq(pi, 2*pi, length.out = 181)[-181]
lower <- cbind(x = cos(lower), y = sin(lower))
right <- seq(1.5*pi, 2.5*pi, length.out = 181)[-181]
right <- cbind(x = cos(right), y = sin(right))
left <- seq(0.5*pi, 1.5*pi, length.out = 181)[-181]
left <- cbind(x = cos(left), y = sin(left))
full <- cbind(x = cos(seq(0, 2*pi, length.out = 361)[-361]),
              y = sin(seq(0, 2*pi, length.out = 361)[-361]))

duarteguilherme

library(tidyverse)


# Colliders

x1 <- rnorm(1000)
y <- 1.2 + 1.6 * x1 + rnorm(1000)
z <- 0.6 + 1.3*x1 + 1.5*y + rnorm(1000)

biazzotto

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

# Função para validar sequência de dígitos do Renavam.
# Adaptado por Fabricio Biazzotto, a partir do original, feito em java:
# http://blog.victorjabur.com/2010/05/28/renavam_veiculos_java


def validar_renavam(renavam):
    # Retorna falso caso o valor passado não seja um número inteiro

klmr

A little experiment using restarts.

(And while we’re at it, let’s torture R’s syntax a little.)

![screenshot][]

In the following we will be using R’s “restarts” feature to implement the state machine that drives generators in languages such as Python. Generators allow lazily generating values on demand: a consumer invokes a generator, and consumes values as they are produced. A new value is only produced once the previous one has been consumed.

drgarcia1986

import asyncio
import json

import aiohttp


SCHOOL_URL_FMT = 'http://educacao.dadosabertosbr.com/api/escola/{}'
SEARCH_SCHOOL_URL = (
    'http://educacao.dadosabertosbr.com/api/escolas/buscaavancada?'
    'situacaoFuncionamento=1&energiaInexistente=on&aguaInexistente=on&'

wilsonfreitas

Curva	Cód.
AJUSTE CUPOM	ACC
AÇÚCAR CRISTAL	ACF
ALUMÍNIO(US$)	ALD
ALUMÍNIO(R$)	ALR
ALUMÍNIO(US$) MD	AMD
ALUMÍNIO(R$) MD	AMR
DI X ANBID	AN
ANBID X PRÉ	ANP
AJUSTE PRÉ	APR