🚀 Day 88/150 – Count Words in a File in Python

Counting the number of words in a file is a common task in Python. It's useful for text analysis, document processing, data cleaning, and many real-world applications. Python provides several simple ways to count words efficiently.

In this post, we'll explore four different methods to count the words in a file.

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Method 1 – Using read() and split()

Read the entire file and split the text into words. 

with open("sample.txt", "r") as file:
    content = file.read()

words = content.split()

print("Total words:", len(words))





Output

Total words: 8

Explanation:

• read() reads the complete file.
• split() separates the text into words using whitespace.
• len() returns the total number of words.

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Method 2 – Using a for Loop

Read the file line by line and count the words in each line.

count = 0

with open("sample.txt", "r") as file:
    for line in file:
        count += len(line.split())

print("Total words:", count)







Output

Total words: 8

Explanation:

• Read one line at a time.
• Split each line into words.
• Add the number of words to the counter.

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Method 3 – Using sum()

A concise and efficient approach.

with open("sample.txt", "r") as file:
    count = sum(len(line.split()) for line in file)

print("Total words:", count)




Output

Total words: 8

Explanation:

• line.split() returns the words in each line.
• len() counts the words.
• sum() adds the counts from all lines.

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Method 4 – Taking File Name from User

Allow the user to specify the file to analyze.

filename = input("Enter file name: ")

with open(filename, "r") as file:
    content = file.read()

print("Total words:", len(content.split()))





Sample Input

sample.txt

Output

Total words: 8

Explanation:

• Accepts a file name from the user.
• Reads the file.
• Counts the total number of words.

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Comparison of Methods

Method	Best For
read() + split()	Small text files
for Loop	Understanding the counting logic
sum()	Clean and memory-efficient
User Input	Interactive applications

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🔥 Key Takeaways

• split() is the easiest way to separate text into words.
• read() works well for small files.
• Reading the file line by line is more memory-efficient for larger files.
• sum() with a generator expression provides a concise solution.
• Word counting is widely used in text processing, document analysis, and NLP applications.