nischalshrestha

using System.Linq;
using ServiceStack;
using ServiceStack.Text;

public class GithubRepository
{
    public string Name { get; set; }
    public string Description { get; set; }
    public string Url { get; set; }
    public string Homepage { get; set; }

nischalshrestha

import sys
import re

# construct regex here and export python regex: https://www.debuggex.com

# TODO make regex ignore white space where it doesn't matter

# first case: df[['col'...]] <-> df[c('col'...)] 
list_re = "\\s{0,}\\[\\s{0,}('\\w{1,}'){1,}\\s{0,}(,\\s{0,}'\\w{1,}'){0,}\\s{0,}\\]"
list_vars = re.compile(list_re)

nischalshrestha

# dependencies:
# - Python3.6
# - Lark: pip install lark-parser

import sys
import os.path
from lark import Lark, Transformer, Visitor
from lark import Tree
# https://github.com/lark-parser/lark/blob/master/lark/grammars/common.lark

nischalshrestha

"""
Source: https://stackoverflow.com/questions/19726663/how-to-save-the-pandas-dataframe-series-data-as-a-figure/39358752#39358752
Modification: Saved returned plot and created figure to save as pdf
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import six

df = pd.DataFrame()

nischalshrestha

“In C” by Terry Riley

This only performs well in Google Chrome, Firefox, and Safari.

“In C” is a musical piece intended to be played by a variable amount of performers. The piece is divided into 53 segments that are to be played, “consecutively with each performer having the freedom to determine how many times he or she will repeat each pattern before moving on to the next.”

Performers are expected to stay within two or three patterns of each other. Once each performer is on the last segment, each performer repeats the last pattern until everyone arrives there, and then they each drop out one by one. This performance is truncated from the preferred 45-90 seconds per segment to 7.5-15 seconds per segment if played at 120 bpm.

On the right, you will see each performer and their current segment as well as a tempo control. In the visualization, each color corresponds to the note being played with red being “C”. The x axis and width of the note are r

nischalshrestha

# ambient 0

live_loop :slow_drone do
  with_fx :bitcrusher, cutoff: 40 do
    with_fx :gverb, room: 40 do
      with_fx :echo, decay: 20 do
        with_fx :echo, decay: 1, mix: 1 do
          with_synth :saw do
            play (scale :c2, :major_pentatonic).choose,
              amp: 1,

nischalshrestha

# Electrotribal dance

live_loop :bass_drums do
  amp = 0.0
  if (spread 7, 8).reverse.tick
    sample :bd_haus, rate: 1, attack: 0.01, release: 0.25, amp: amp
    sleep 0.5
  else
    sample :bd_haus, rate: rrand_i(1, 3), attack: 0.025, sustain: 0.5, release: 0.1, amp: amp + 1
    sleep 0.09

nischalshrestha

##| Ambient 1

with_fx :reverb, room: 0.8, mix: 0.6 do
  
  live_loop :deep_saws do
    use_synth :saw
    amp = 0
    release = rrand_i(5, 8)
    attack = rrand(0.8, 3.0)
    with_fx :lpf, cutoff: 80 do

nischalshrestha

---
title: "Python exercises"
author: "Nischal Shrestha"
# output: library(devtools); library(here); load_all(here()); learnr::tutorial # use this when using a local learnr
output: learnr::tutorial
runtime: shiny_prerendered
---

```{r setup, include=FALSE}
# R related

nischalshrestha

# lfo for sines
lfo0 = (range 0, 2, 0.25).mirror
lfo1 = (range 0, 1, 0.025).mirror
# lfo for panning
lfo2 = (range -1, 1, 0.125).mirror
# lfos for bd_haus (dark-side of the beat)
lfo3 = (range 0.25, 0.5, 0.025).mirror
lfo4 = (range 0.5, 3, 0.125).mirror
# let's get wonky with it! slow, slow, slow steps
lfo5 = (range 1, 8, 0.005).mirror