Understanding CPU Times in Python with psutil

Опубликовано: 09 Октябрь 2024
на канале: Tempcoder Tech
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🚀 Welcome back to TempCoder Tech, your go-to destination for sysadmin and scripting insights! 🖥️ In today's Python Shorts, we're diving deep into the fascinating world of CPU times with the psutil.cpu_times function. Whether you're a sysadmin, developer, or just curious about Python, this video is for you!

🔍 What's Covered:

Understanding the psutil.cpu_times function in Python.
Fetching detailed CPU times, including user, system, idle, and more.
Running the function at different intervals for real-time insights.
Logging CPU times to a file for analysis using Python.
🛠️ Python Code & Explanations:
We provide a step-by-step walkthrough of the Python script, explaining how to use psutil.cpu_times effectively. Learn to monitor CPU times, add timestamps, and log the data for further exploration.

📊 Onscreen Text Highlights:
Enhance your visual experience with onscreen text:

"Exploring CPU Times in Python with psutil."
"Fetching CPU times every 5 seconds for demonstration."
"Final CPU times log after a 10-second interval."
👩‍💻 Code Snippet:
import psutil
import time

def log_cpu_times():
Get CPU times
cpu_times = psutil.cpu_times(percpu=True)

Get current timestamp
timestamp = time.strftime('%Y-%m-%d %H:%M:%S')

Create or open a log file
with open('cpu_times_log.txt', 'a') as file:
Write timestamp and CPU times to the file
file.write(f'\nTimestamp: {timestamp}\n')
for i, cpu in enumerate(cpu_times):
file.write(f'CPU {i + 1}: {cpu}\n')

print(f'CPU times logged at {timestamp}')

Run the function at different intervals
log_cpu_times() # Log immediately

Log every 5 seconds for 3 times
for _ in range(3):
time.sleep(5)
log_cpu_times()

Log one final time after 10 seconds
time.sleep(10)
log_cpu_times()

💡 Why Watch?

Gain a deep understanding of CPU times in Python.
Learn practical insights for sysadmins and developers.
Enhance your scripting skills with real-world examples.
Discover the power of psutil in monitoring system resources.

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Ready to explore CPU times in Python? Let's code together! 💻✨