(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
# (C) Kyle Kastner, June 2014 | |
# License: BSD 3 clause | |
import scipy.stats as st | |
import numpy as np | |
class gmmhmm: | |
#This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m | |
def __init__(self, n_states): | |
self.n_states = n_states |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
package main | |
import ( | |
"fmt" | |
"github.com/Shopify/sarama" | |
"os" | |
"os/signal" | |
"strings" | |
) |
use std::str; | |
fn main() { | |
// -- FROM: vec of chars -- | |
let src1: Vec<char> = vec!['j','{','"','i','m','m','y','"','}']; | |
// to String | |
let string1: String = src1.iter().collect::<String>(); | |
// to str | |
let str1: &str = &src1.iter().collect::<String>(); | |
// to vec of byte |