Iaido Kata - Learning Resources

Name - Number¶

Shuffled

Ordered

from jupytercards import display_flashcards
kata = ['Mae', 'Ushiro', 'Ukenagashi', 'Tsuka-ate', 'Kesagiri', 'Morotezuki', 'Sanpogiri', 'Ganmenate', 'Soetezuki', 'Shihogiri', 'Sougiri', 'Nukiuchi']

flashcards = []
for i, k in enumerate(kata):
    flashcards.append({"front":k, "back":str(i+1)})
    flashcards.append({"front":str(i+1), "back":k})
    
display_flashcards(flashcards, shuffle_cards=True)

from jupytercards import display_flashcards
kata = ['Mae', 'Ushiro', 'Ukenagashi', 'Tsuka-ate', 'Kesagiri', 'Morotezuki', 'Sanpogiri', 'Ganmenate', 'Soetezuki', 'Shihogiri', 'Sougiri', 'Nukiuchi']

flashcards = []
for i, k in enumerate(kata):
    flashcards.append({"front":k, "back":str(i+1)})
    flashcards.append({"front":str(i+1), "back":k})
    
display_flashcards(flashcards, shuffle_cards=False)

Name - Ordinal number¶

Japanese ordinal numbers such as Ipponme and Nihonme are often prepended to names or used to directly refer to Kata or Kihon within a set. You can find a set to practice the literal meaning e.g. Gohonme -> Fifth Here.

Shuffled

Ordered

from jupytercards import display_flashcards
import csv

file = "iaido_kata_ordinal.csv"
with open(file, newline="", encoding="utf-8") as f:
    data = list(csv.DictReader(f, delimiter=';'))
result = data.copy()
for d in data:
    result.append({'front': d['back'], 'back': d['front']})
data = result
display_flashcards(data, shuffle_cards=True)

from jupytercards import display_flashcards
import csv

file = "iaido_kata_ordinal.csv"
with open(file, newline="", encoding="utf-8") as f:
    data = list(csv.DictReader(f, delimiter=';'))
result = data.copy()
for d in data:
    result.append({'front': d['back'], 'back': d['front']})
data = result
display_flashcards(data, shuffle_cards=False)

Name - Meaning¶

These flashcards are based on the translations found on the Ryoshinkan website, which also includes further explanations of the kata naming, which is interesting and aids in memorization so reading it is highly recommended.

Shuffled

Ordered

from jupytercards import display_flashcards
import csv

file = "iaido_kata_desc.csv"
with open(file, newline="", encoding="utf-8") as f:
    data = list(csv.DictReader(f, delimiter=';'))
result = data.copy()
for d in data:
    result.append({'front': d['back'], 'back': d['front']})
data = result
display_flashcards(data, shuffle_cards=True)

from jupytercards import display_flashcards
import csv

file = "iaido_kata_desc.csv"
with open(file, newline="", encoding="utf-8") as f:
    data = list(csv.DictReader(f, delimiter=';'))
result = data.copy()
for d in data:
    result.append({'front': d['back'], 'back': d['front']})
data = result
display_flashcards(data, shuffle_cards=False)