2019/3/18 Atsuo Ishimoto 電子情報通信学会エレクトロニクスシミュレーション研究会 第２回学生・若手エレクトロニクスソフトウェアコンテスト

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4. Python 0.9
1991
Python 1.0
2000
Python 2.0
2010
Python 2.7
Python 3.0
Python 3.7
2020

5. Stack Overflow Trends
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value = func(1) + func(2)
print(value)

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if {}
if
int foo(int a)
{
if (a > 100)
{
return 1;
}
else
{
return 0;
}
}
def foo(a):
if a > 100:
return 1
else
return 0
C言語 Python

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class Base:
def method(self):
…
class Derived(Base):
def method(self):
super().method()
…

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SciPy Library
Matplotlib
Pandas
SymPy
IPython
Jupyter
Notebook

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>>> import numpy as np
9
>>> arr = np.arange(0.1, 1.0, 0.1)
>>> arr
array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,
0.9])
3×3
>>> arr33 = arr.reshape(3, 3)
>>> arr33
array([[0.1, 0.2, 0.3],
[0.4, 0.5, 0.6],
[0.7, 0.8, 0.9]])

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>>> arr1 = np.array([0.1, 0.2, 0.3])
>>> arr2 = np.array([0.4, 0.4, 0.5])
>>> arr1 + arr2
array([0.5, 0.6, 0.8])
>>> arr1 @ arr2
0.27
sin(x)
>>> np.sin(arr1)
array([0.09983342, 0.19866933, 0.29552021])

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>>> arr
array([[0.1, 0.2, 0.3],
[0.4, 0.5, 0.6],
[0.7, 0.8, 0.9]])
>>> arr[1, 2] # 1 2
0.6
>>> arr[2] #
array([0.7, 0.8, 0.9])
>>> arr[0:2] # 0~1
array([[0.1, 0.2, 0.3],
[0.4, 0.5, 0.6]])
>>> arr[:, [2,0]]
array([[0.3, 0.1],
[0.6, 0.4],
[0.9, 0.7]])

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1 1
>>> arr[1, 1] = 100
array([[ 0.1, 0.2, 0.3],
[ 0.4, 100. , 0.6],
[ 0.7, 0.8, 0.9]])
1
>>> arr[:, 0] = 100
array([[100. , 0.2, 0.3],
[100. , 0.5, 0.6],
[100. , 0.8, 0.9]])
0.2 0.8 0
>>> arr[(arr <= 0.2) | (arr >= 0.8)] = 0
array([[0. , 0. , 0.3],
[0.4, 0.5, 0.6],
[0.7, 0. , 0. ]])

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1 2 3
101 102 103
201 202 203
301 302 303

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data = {
'Column1': [1, 101, 201, 301],
'Column2': [2, 102, 202, 302],
'Column3': [3, 103, 203, 303],
}
index=['Index1', 'Index2', 'Index3', ‘Index4']
df = pd.DataFrame(data, index=index)

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