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IterTools in Python
#Python #PythonTips #PythonProgramming #LearnPython #PythonTricks #Coding #Programming #CodeNewbie #DevLife #PythonDev #PythonDeveloper #itertools #PythonBuiltins #PythonForBeginners #TechTips #CodeDaily #SoftwareDevelopment

I need to add #itertools groupby in my classes :)

https://wesmckinney.com/book/python-builtin#generators_itertools

[Formations #Python] Dernière formation de l'année "Les structures avancées avec #Python"

N'hésitez pas à nous contacter pour vous inscrire

📅 le 16 décembre en ligne

#python#pythonscientifique #machinelearning #Pythonavancées
#données #algorithmique #ai #algo
#itertools #generateur #decorateur

@pokateo use of python `itertools` to map `shapely` functions onto geometric linear and point objects

#python #shapely #Itertools

Mia Bajić: The Standard Library Tour @ PyCon Ireland 2023

https://youtu.be/ZId-JEMSCQ8

The Standard Library Tour is designed to provide attendees with an understanding of Python's standard library less known features. Have you ever found yourself writing complex code only to discover that Python has tools available within its library that could have made your job easier? Then this talk is for you!

#PyCon #PyConIe #PyConIe2023 #functools #itertools #doctest

#ArtAdventCalendar Day 4.

I started working through the book "Indra's Pearls" by David Mumford, Caroline Series, and David Wright. And by working, I mean implementing the pseudo-code in #python. It's fun when you recognize that a messy triple-nested loop algorithm in the book can be replaced by a single `itertools.product` followed by a `filter` call - which makes one appreciate the ease of coding in Python!

This is a "Theta-Schottky group" fractal inspired by Exercise 4.2 in the book.

#indraspearls #fractal #schottkygroup #itertools

$Four filled circles, blue, red, turquoise, and orange, are placed at the cardinal points. Each circle contains a projection of the 3 other circles. Each projected circle contains projections of the other circles.. and so on, in typical self-similar fractal fashion.$

#Processing #Python #itertools #py5

$# py5 imported mode 7 color combinations from itertools import combinations, permutations from itertools import combinations_with_replacement from itertools import product colors = [ color(200, 0, 0), color(200, 100, 0), color(200, 200, 0), color(0, 200, 0), color(0, 200, 200), color(0, 0, 200), color(150, 0, 200), ] def setup(): size(900, 450) background(0) text_size(18) no_stroke() translate(25, 15) x = 0 y = 20 w = (width - 50) / len(colors) fill(255) text(f'{len(colors)} colors', 0, y - 5) for cor in colors: fill(cor) rect(x + 3, y, w - 6, w) x = x + w y = y - w + 10 combos = list(combinations(colors, 2)) tc = f'{len(combos)} pairs from itertools.combinations(colors, 2)' combos_r = list(combinations_with_replacement(colors, 2)) tcr = f'{len(combos_r)} pairs from itertools.combinations_with_replacement(colors, 2)' perm = list(permutations(colors, 2)) tpe = f'{len(perm)} pairs from itertools.permutations(colors, 2)' prod = list(product(colors, colors)) tpr = f'{len(prod)} pairs from itertools.product(colors, colors)' for pairs, txt in ( (combos, tc), (combos_r, tcr), (perm, tpe), (prod, tpr)): x, y = 0, y + w * 2 + 15 w = (width - 50) / len(pairs) fill(255) text(txt, 0, y - 5) for cor_a, cor_b in pairs: fill(cor_a) rect(x + 3, y, w - 6, w - 6) fill(cor_b) rect(x + 3, y + w - 6, w - 6, w - 6) x = x + w save(f'{__file__[:-3]}.png')$

#itertools #combinations #combinations_with_replacement #permutations #product #Processing #Python #py5

visual demonstration of itertools combinations, combinations_with_replacement, permutations and product

♻️ Master the art of efficient looping! Join Pratibha Jagnere in the talk "Itertools – iterators for efficient looping" and level up your Python skills. 🚀🔁 Don't miss it: https://cz.pycon.org/2023/program/talks/74/
#Python #Itertools #PyConCZ23

Ano passado eu gravei um curso em vídeo de introdução ao desenho com código, usando #Python + #Processing (#py5) para o HomeostasisLab, está disponível *totalmente de graça* em:

https://homeostasislab.org/cursos/info/131

Parece que uma centena de pessoas acessaram esse #cursoGrátis de #ProgramaçãoCriativa, mas eu não tive retorno. Estranhei que deveria ter legendas em inglês mas não as encontrei :((

Adoraria que mais gente visse e que me mandassem comentários (de preferência construtivos). Assisti ontem um trechinho em que eu tento explicar #itertools #combinations #permutations e #ItertoolsProduct e achei que estava bem razoável.

Se você gosta do meu trabalho, pode me apoiar em https://gumroad.com/villares, com PayPal (https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=HCGAKACDMVNV2) ou PIX (chave: 46c37783-5edb-4f1c-b3a8-1309db11488c)

#Processing #py5 #Python #itertools 120 combinations of 2 elements from a 4x4 grid. #CreativeCoding #Loop #GIF

sketch_2022_06_19 #Processing #Python #py5 #itertools #combinations https://github.com/villares/sketch-a-day

UPDATE: No need to use that cumbersome lambda, it was there because of some previous experiments... I refactored it out:
...
for z, positions in zip(range(-100, 101, 20), cs):
py5.fill((255 + z + i * 20) % 255, 200, 200)
for pos in positions:
element(pos + (z,))

🌗 函數式編程 HOWTO — Python 3.11.4 文件
➤ Python 的函數式編程特性
✤ https://docs.python.org/3/howto/functional.html
本文介紹 Python 的函數式編程特性，包括迭代器、生成器、itertools 和 functools 等庫模塊。函數式編程將問題分解為一組函數，並鼓勵使用純函數，即只接受輸入並生成輸出，不修改內部狀態。函數式編程具有形式化可證明、模塊化、可組合、易於調試和測試等優點。
+ 很好的介紹了 Python 的函數式編程特性，讓我更好地理解了函數式編程的概念和優點。
+ 這篇文章很有用，尤其是對於那些想學習函數式編程的 Python 開發人員來說。
#Python #函數式編程 #iterators #generators #itertools #functools

Today I implemented some neat optimizations for my current project at work: the problem I found was that the #rust #itertools library does not ensure minimal allocation size for the partition_result adaptor.

I made a custom implementation of this adaptor that does not allocate itself, but receives preallocated collections for the partitions.

Was a pretty nice experience.

Ano passado eu gravei umas aulas em vídeo para o HomeostasisLab, é de graça, sobre desenhar com #Python e #py5 e um pouquinho de #itertools https://homeostasislab.org/cursos/info/131

sketch_2022_02_25 #Processing #Python #py5 #itertools github.com/villares/sketch-a-day

# Imagem formada por pontos de um hexágono conectados todos entre si por linhas "tracejadas" que alternam azul e amarelo
# Também aparece o código abaixo e o fundo de tela do XFCE (ratinho)

from itertools import combinations

combos = []

def setup():
size(600, 600)
n = 6
step = TWO_PI / n
pts = []
for i in range(n):
a = HALF_PI + i * step
# radius 250 causes weird diagonal behaviour!
x = 300 + 256 * cos(a)
y = 300 + 256 * sin(a)
pts.append((x, y))
combos[:] = list(combinations(pts, 2))

def draw():
background(200)
stroke_weight(3)
for c, s in (('yellow', True), ('darkblue', False)):
stroke(c)
for (ax, ay), (bx, by) in combos:
dashed(ax, ay, bx, by, solid_start=s)

def dashed(ax, ay, bx, by, u=20, solid_start=True):
d = dist(ax, ay, bx, by) # Line length
if d:
ux, uy = (bx - ax) / d, (by - ay) / d # A "unit vector" of the line
n = d // u
if n == 0:
solid_start = True
elif n % 2 == 0:
n = n - 1
ru = d - u * n
x, y = ax + ux * ru / 2, ay + uy * ru / 2
if solid_start:
line(ax, ay, x, y)
for i in range(int(n)):
if i % 2 == (1 if solid_start else 0):
xd, yd = x + ux * u, y + uy * u
line(x, y, xd, yd)
x += ux * u
y += uy * u
if solid_start:
line(x, y, bx, by)

sketch_2022_02_21 #Processing #Python #py5 #itertools combinações de 7 pontos de um heptágono ligados dois a dois por linhas tracejadas.

# a imagem mostra o código abaixo à esquerda no Thonny IDE, ao fundo um desktop ccom o ratinho do XFCE
# à direita a imagem produzida pelo código, 7 pontos formando um heptágono com todos os pontos ligados entre si por linha tracejadas em um fundo cinza.

from itertools import combinations

combos = []

def setup():
size(600, 600)
n = 7
step = TWO_PI / n
pts = []
for i in range(n):
a = HALF_PI + i * step
x = 300 + 200 * cos(a)
y = 300 + 200 * sin(a)
pts.append((x, y))
combos[:] = list(combinations(pts, 2))

def draw():
background(200)
for (ax, ay), (bx, by) in combos:
dashed(ax, ay, bx, by)

def dashed(ax, ay, bx, by, u=20, a=0.5):
d = dist(ax, ay, bx, by) # Line length
ux, uy = (bx - ax) / d, (by - ay) / d # A "unit vector" of the line
nx, ny = uy, -ux # Normal direction
n = d // u
stroke(0)
ru = min(u * a, (d - u * n))
x, y = ax, ay
for i in range(int(n)):
xd, yd = x + ux * u * a, y + uy * u * a
line(x, y, xd, yd)
x += ux * u
y += uy * u
stroke(0, 0, 100)
line(x, y, x + ux * ru, y + uy * ru)

Will I get the hang of using #py5 on #JupyterLab ? Trying the py5bot kernel...

#Python #creativeCoding #itertools

# screenshot of a jupyter notebook

# first cell

%%python

from itertools import product, combinations

pos = list(product((0, 1, 2, 3), repeat=2))

def draw_base():
for i, j in pos:
x = 100 + i * 100
y = 100 + j * 100
rect(x, y, 100, 100)

def draw_combo(combo):
for i, j in combo:
x = 100 + i * 100
y = 100 + j * 100
push_matrix()
translate(x + 50, y + 50, 50)
box(100)
pop_matrix()

combos = list(combinations(pos, 2))
print(len(combos))

# second cell
size(600, 600, P3D)
lights()
s = 12
scale(1/s)

x = y = 0
for combo in combos:
no_fill()
stroke(255, 0, 0)
stroke_weight(s)
draw_base()
fill(255)
stroke(0)
draw_combo(combo)
translate(width, 0)
x += width
if x > width * s - width:
translate(-width * s, height)
x = 0

# partially visible output is a grid of many red 4x4 square grids with two white boxes on to of each

O meu curso com #Python #py5 #itertools no #homeostasislab vai ser amanhã, quarta-feira 9/11, 19h, horário de Brasília, inscreva-se em https://homeostasislab.org/cursos/info/131 :D

#itertools

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