Handling large files efficiently
📖 Scenario: Imagine you have a very large text file with millions of lines. You want to count how many lines contain the word "error" without loading the entire file into memory at once.
🎯 Goal: Build a Python program that reads a large file line by line, counts lines containing the word "error", and prints the total count.
📋 What You'll Learn
Create a variable for the file path with the exact name
file_path and value 'large_log.txt'.Create a variable called
keyword and set it to the string 'error'.Use a
with open(file_path, 'r') block to read the file line by line.Use a
for loop with variable line to iterate over the file object.Inside the loop, check if
keyword is in line and count such lines in a variable called count.Print the final count using
print(count).💡 Why This Matters
🌍 Real World
Large log files from servers or applications can be huge. Reading them line by line helps find errors or important info without crashing your computer.
💼 Career
Many jobs in data analysis, system administration, and software development require processing large files efficiently to troubleshoot or analyze data.
Progress0 / 4 steps