zepadovani

1. Only if you need to install sbcl and Visual Studio Code (here, using homebrew)

1. If you don’t have homebrew (just type brew -v in a terminal to test), I adviseyou to install it as it makes it easier to install apps, command line tools, and similar things, as well to update them. To do that, just run this from command line:

   /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

2. Test if you have sbcl (sbcl -v) otherwise install by running: brew install sbcl

3. Install Visual Studio Code if you don't have it. You can do this by running: brew install --cask visual-studio-code

zepadovani

import numpy as np
import scipy.signal.windows as sciwins
import librosa
import matplotlib.pyplot as plt


## The idea of this script is to calculate the normalization factor for a given window function
## The normalization factor is the reciprocal of the sum of the values of the chosen frame
## The normalization factor is first calculated for a very short sinusoidal signal, with the 
## frequency set in the middle of the spectrum and amplitude set to 1

zepadovani

1. create a miniconda environment

conda create --name pywebview                                                                                                    ✔  took 15s  pywebview Py 

2. enter the environment

conda activate pywebview  ✔ took 15s pywebview Py 

zepadovani

// By using this, it is possible to get all messages coming in a specific port
thisProcess.openUDPPort(9000);
(
f = { |msg, time, replyAddr, recvPort|
		msg.postln;"Working with any OSC path".postln;   
};
thisProcess.addOSCRecvFunc(f);
);

zepadovani

import scamp
import random

### IDEIA GERAL: criar duas camadas rítmicas, independentes, que façam a base e o tamborim do samba
### além disso, vamos usar um plugin VST (no reaper ou outro programa) e criar uma parte MIDI ao invés de uma parte usual
### (se tiver dificuldade, adapte o código usando notas de um piano apenas para compreender o processo geral)


## sessão SCAMP
s = scamp.Session()

zepadovani

1. install miniconda (use script from site instead of AUR)

2. Follow instructions here (https://www.tensorflow.org/install/pip?hl=pt-br)

2.1 - Create environmente:

conda create -n mlconda_3.10.11 python==3.10.11

zepadovani

import requests
from bs4 import BeautifulSoup
from selenium import webdriver
import pandas as pd

def getWikiAvesDF(filename=None,savecsv=False):
    """
    Scrape the Wikipedia Aves table and return a DataFrame with 'Espécie' and 'Nome Comum' columns.
    
    Parameters:

zepadovani

## Xbindkey configs to allow to use combinations of control and alt as modifiers to emulate Home, End, PageUp, and PageDown keybinds
## enter these lines in ~/.xbindkeysrc

"xdotool keyup Control+Alt_L+Left && xdotool key Home" 
  control+alt + Left

"xdotool keyup Shift+Control+Alt_L+Left && xdotool key Shift+Home" 
  shift+control+alt + Left

zepadovani

import snscrape.modules.twitter as sntwitter

trecho_do_palindromo = "marrocos"

palindromos = []

for i,tweet in enumerate(sntwitter.TwitterSearchScraper(f'#palindromo + {trecho_do_palindromo}').get_items()):
    if i>100:
        break
    palindromos.append([tweet.date, "@"+tweet.user.username, tweet.rawContent])

zepadovani

## 1. instalar AUR do ndi-sdk-embedded

instalei o SDK do NDI (versão 4) via pacote AUR: ndi-sdk-embedded (4.5.3....)

## 2. GEM instalado via pamac:

pacote pd-gem

### 3. download da versão compilada do pd_ndi