马丁路德金的"I have a dream"节选存放在"freedom.txt"中： I have a dream that one day this nation will rise up, live up to the true meaning of its creed: “We hold these truths to be self-evident; that all men are created equal.” I have a dream that one day on the red hills of Georgia the sons of former slaves and the sons of former slave-owners will be able to sit down together at the table of br otherhood. I have a dream that one day even the state of Mississippi, a state sweltering with th e heat of injustice, sweltering with the heat of oppression, will be transformed into an oasis of freedom and justice. I have a dream that my four children will one day live in a nation where they will no t be judged by the color if their skin but by the content of their character. I have a dream today. I have a dream that one day down in Alabama with its governor having his lips drippin g with the words of interposition and nullification, one day right down in Alabama li ttle black boys and black girls will be able to join hands with little white boys and white girls as sisters and brothers. I have a dream today. I have a dream that one day every valley shall be exalted, every hill and mountain sh all be made low, the rough places will be made plain, and the crooked places will be made straight, and the glory of the Lord shall be revealed, and all flesh shall see i t together. 编程实现词汇表，计算每一个单词出现的次数，大小写不区分，输出到"dic.txt" 文件保存。

好的，以下是Python实现该功能的代码：

# 打开文件
with open('freedom.txt', 'r') as f:
    text = f.read()

# 将所有单词转换为小写，并去除标点符号
words = text.lower().replace(',', '').replace('.', '').replace(';', '').split()

# 统计每个单词出现的次数
word_count = {}
for word in words:
    if word in word_count:
        word_count[word] += 1
    else:
        word_count[word] = 1

# 将结果写入文件
with open('dic.txt', 'w') as f:
    for word, count in word_count.items():
        f.write(f'{word}: {count}\n')

运行结果保存在dic.txt文件中，每一行表示一个单词和它出现的次数，格式为“单词: 次数”。

相关问题

马丁路德金的"I have a dream"节选存放在"freedom.txt"中：.编程实现词汇表，计算每一个单词出现的次数，大小写不区分，输出到"dic.txt" 文件保存。 将源程序和运行结果制作图片提交到答题处。

好的，我可以为您编写一个Python程序来实现这个功能。以下是代码：

import string

# 读取文本文件
with open('freedom.txt', 'r', encoding='utf-8') as f:
    content = f.read()

# 处理文本内容，去除标点符号并转换为小写
content = content.translate(str.maketrans('', '', string.punctuation))
content = content.lower()

# 统计单词出现次数
word_dict = {}
for word in content.split():
    if word in word_dict:
        word_dict[word] += 1
    else:
        word_dict[word] = 1

# 写入词汇表文件
with open('dic.txt', 'w', encoding='utf-8') as f:
    for key, value in word_dict.items():
        f.write(key + ': ' + str(value) + '\n')

请将上述代码保存为Python文件，并将freedom.txt文件放在同一目录下。运行程序后，会生成一个dic.txt文件，其中包含每个单词出现的次数。运行结果如下：


洛克希德马丁击杀链有哪几个阶段

洛克希德马丁击杀链包括以下六个阶段：

1. 目标发现：确定敌方目标的位置和存在。
2. 目标跟踪：跟踪目标并确定其运动状态。
3. 目标识别：通过传感器或其他信息源确定目标的类型。
4. 火控解算：计算出如何击中目标所需的火控解算数据。
5. 武器释放：将武器从载具上释放出来，并使其开始朝着目标飞行。
6. 命中爆炸：武器到达目标并引爆，摧毁目标。