（1）根据列表["Python","C","Scala","Java","GO","Scala","SQL","PHP","Python"]创建一个变量名为language的Series； （2）创建一个由随机整型组成的Series，要求长度与language相同，变量名为score； （3）根据language和score创建一个DataFrame； （4）输出该DataFrame的前4行数据； （5）输出该DataFrame中language字段为Python的行； （6）将DataFrame按照score字段的值进行升序排序； （7）统计language字段中每种编程语言出现的次数。

好的，以下是您的回答：

import pandas as pd
import numpy as np

# (1) 根据列表["Python","C","Scala","Java","GO","Scala","SQL","PHP","Python"]创建一个变量名为language的Series
language = pd.Series(["Python","C","Scala","Java","GO","Scala","SQL","PHP","Python"])

# (2) 创建一个由随机整型组成的Series，要求长度与language相同，变量名为score
score = pd.Series(np.random.randint(0, 100, len(language)))

# (3) 根据language和score创建一个DataFrame
df = pd.DataFrame({"language": language, "score": score})

# (4) 输出该DataFrame的前4行数据
print(df.head(4))

# (5) 输出该DataFrame中language字段为Python的行
print(df[df["language"] == "Python"])

# (6) 将DataFrame按照score字段的值进行升序排序
df = df.sort_values("score", ascending=True)

# (7) 统计language字段中每种编程语言出现的次数
count = df["language"].value_counts()
print(count)

希望能够帮到您！