Don't Print.. Use a Logger instead! #python #coding

Rob Mulla · Intermediate ·☁️ DevOps & Cloud ·3y ago

Key Takeaways

The video demonstrates the use of Python's logging module as a replacement for print statements in debugging, showcasing its benefits such as outputting to a folder, setting logging levels, and handling multithreading.

Full Transcript

we've all been there you've written some code and it's not giving you the output that you expect maybe you have something like this function but something's not right so you start by adding a print statement in another print statement and another print statement and another print statement and now you've figured out where your bug is and you're going to go back and comment out all these print statements there's a better way to do this and it's with Python's logging module all you have to do is import logging and we can set it up with some basic configurations then all we have to do is replace our print statements with logging statements one of the nice things is we can set different levels on the logging that we want to run then later on we can change the base logging level and it'll only show our logs at that level one of the main advantages of using the logging module is it's highly configurable you can configure logging to send to a remote server database or even email so the next time you start adding a bunch of print statements to your code consider using the logging module instead

Original Description

Print statements can be really helpful when debugging, however the logging module in python can be used really step up your game! There are a lot of benefits to using logging including outputting to a folder, setting logging levels, and handling multithreading.
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The video teaches how to use Python's logging module to improve debugging efficiency and code readability, highlighting its advantages over print statements.

Key Takeaways
  1. Import the logging module
  2. Set up basic configurations for logging
  3. Replace print statements with logging statements
  4. Set different logging levels
  5. Configure logging to output to a folder or remote server
💡 The logging module is highly configurable and can be used to send logs to a remote server, database, or email, making it a more efficient and scalable solution than print statements.

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