Pythonフレーズ
順位 | 名前 | スコア | 称号 | 打鍵/秒 | 正誤率 | 時間(秒) | 打鍵数 | ミス | 問題 | 日付 |
---|---|---|---|---|---|---|---|---|---|---|
1 | kuma | 4462 | C+ | 4.5 | 98.8% | 56.7 | 256 | 3 | 25 | 2024/12/17 |
2 | ku | 4368 | C+ | 4.3 | 99.5% | 55.4 | 243 | 1 | 25 | 2024/12/22 |
3 | kuma | 4100 | C | 4.1 | 98.8% | 59.5 | 247 | 3 | 25 | 2024/12/14 |
4 | Fridisal | 3583 | D+ | 4.0 | 90.3% | 65.3 | 262 | 28 | 25 | 2024/11/10 |
5 | スヌスムムリク | 2457 | F++ | 2.4 | 98.5% | 83.0 | 207 | 3 | 25 | 2024/11/12 |
関連タイピング
-
プレイ回数4657英語長文120秒
-
プレイ回数599長文30秒
-
プレイ回数1237英語長文407打
-
プレイ回数1107長文299打
-
プレイ回数77英語長文90秒
-
プレイ回数3078英語長文707打
-
プレイ回数42英語短文159打
-
プレイ回数465長文120秒
問題文
(print())
print()
(len())
len()
(list.append())
list.append()
(while)
while
(for w in words:)
for w in words:
(for i in range():)
for i in range():
(continue)
continue
(break)
break
(def)
def
(list.extend())
list.extend()
(list.insert())
list.insert()
(list.remove())
list.remove()
(list.pop())
list.pop()
(list.clear())
list.clear()
(list.count())
list.count()
(list.sort(key=None,reverse=False))
list.sort(key=None,reverse=False)
(list.copy())
list.copy()
(a+b)
a+b
(a-b)
a-b
(a*b)
a*b
(a/b)
a/b
(a**b)
a**b
(a//b)
a//b
(a%b)
a%b
(a|b)
a|b
(a&b)
a&b
(a^b)
a^b
(dict={'test1':a,'test2',b})
dict={'test1':a,'test2',b}
(import sys)
import sys
(f.read())
f.read()
(f.readline())
f.readline()
(f.write())
f.write()
(f.close())
f.close()
(with open() as f:)
with open() as f:
(except)
except
(try:)
try:
(raise)
raise
(class)
class
(finally:)
finally:
(if)
if
(else)
else
(elif)
elif
(__init__)
__init__
(self)
self
(import re)
import re
(from datetime import date)
from datetime import date
(now=date.today())
now=date.today()
(import logging)
import logging
(import numpy as np)
import numpy as np
(np.array([]))
np.array([])
(type())
type()
(.shape)
.shape
(.reshape(()))
.reshape(())
(.ravel())
.ravel()
(.flatten())
.flatten()
(np.arange())
np.arange()
(np.random.random(()))
np.random.random(())
(np.random.rand())
np.random.rand()
(np.random.randint())
np.random.randint()
(np.random.uniform())
np.random.uniform()
(np.random.randn())
np.random.randn()
(np.zeros())
np.zeros()
(np.ones())
np.ones()
(np.eye())
np.eye()
(np.full())
np.full()
(np.linespace())
np.linespace()
(np.concatenate([]))
np.concatenate([])
(np.hstack([]))
np.hstack([])
(np.vstack([]))
np.vstack([])
(np.hsplit())
np.hsplit()
(np.vsplit())
np.vsplit()
(np.abs())
np.abs()
(np.sin())
np.sin()
(np.cos())
np.cos()
(np.log())
np.log()
(np.exp())
np.exp()
(np.mean())
np.mean()
(np.dot())
np.dot()
(np.sum())
np.sum()
(np.any())
np.any()
(np.all())
np.all()
(import pandas as pd)
import pandas as pd
(pd.Series([]))
pd.Series([])
(pd.DataFrame())
pd.DataFrame()
(df.head())
df.head()
(df.tail())
df.tail()
(df.index=[])
df.index=[]
(df.columns=[])
df.columns=[]
(df.loc[])
df.loc[]
(df.iloc[])
df.iloc[]
(pd.read_csv())
pd.read_csv()
(df.to_csv())
df.to_csv()
(df.query())
df.query()
(df.dtypes)
df.dtypes
(df.sort_values())
df.sort_values()
(df.drop())
df.drop()
(pd.get_dummies())
pd.get_dummies()
(pd.date_range())
pd.date_range()
(df.groupby(pd.Grouper(freq='M')).mean())
df.groupby(pd.Grouper(freq='M')).mean()
(np.sqrt())
np.sqrt()