一、安装Spark

1、检查基础环境hadoop,jdk

2、下载spark

（省略，原来已下好）

3、解压，文件夹重命名、权限

（省略，原来已下好）

4、配置文件

5、环境变量

6、试运行Python代码

试运行spaark

python命令测试

二、Python编程练习：英文文本的词频统计

1、准备文本文件

2、读文件

3、预处理：大小写，标点符号，停用词

4、分词

5、统计每个单词出现的次数

6、按词频大小排序

7、结果写文件

with open("data.txt", "r") as f:
text=f.read()
text = text.lower()
for ch in '!@#$%^&*(_)-+=\\[]}{|;:\'\"`~,<.>?/':
text=text.replace(ch," ")


words = text.split() # 以空格分割文本
stop_words = ['so','out','all','for','of','to','on','in','if','by','under','it','at','into','with','about','i','am','are','is','a','the','and','that','before','her','she','my','be','an','from','would','me','got']

afterwords=[]

for i in range(len(words)):
z=1
for j in range(len(stop_words)):

if words[i]==stop_words[j]:
continue
else:
if z==len(stop_words):
afterwords.append(words[i])
break
z=z+1
continue

counts = {}
for word in afterwords:
counts[word] = counts.get(word,0) + 1
items = list(counts.items())
items.sort(key=lambda x:x[1],reverse=True)
# 输出前10
for i in range(10):
word, count = items[i]
print("{0:<10}{1:>5}".format(word, count)) # 打印前十个元素