Mike Driscoll Profile picture
Nov 15, 2021 โ€ข 17 tweets โ€ข 6 min read โ€ข Read on X
Logging in #Python is a popular topic and it's a really useful one to understand.

Today we are going to learn more about that!

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Python includes the `logging` module as a part of its standard library.

You can get started using it quite easily:
Python's `logging` module supports multiple logging levels:

๐Ÿ notset
๐Ÿ debug
๐Ÿ info
๐Ÿ warning
๐Ÿ error
๐Ÿ critical
You can set a logging level in #Python using `basicConfig()`
Normally, when using Python's `logging` module, you would create a logger object instead of using `logging` directly.

If you do that, then you call the `setLevel()` method to set the logging level
Once you have a logger level set in your logging object, you need to choose where you wish to log.

You do that by creating a logging handler.

One of the most common logging handler to use is `StreamHandler` which logs to stdout by default
Python's logging handler supports a lot of other logging handlers.

For example, you can log to an `SMTPHandler` which emails a log every time a log event happens.

Use this one with care!
For a full list of logging handlers, check out the Python documentation here:

It supports platform specific handlers, like the Windows Log, sys log and much, much more more!

docs.python.org/3/library/loggโ€ฆ
If you don't like the default logging format, you can change it with a `logging.Formatter()`

Here's an example of adding a formatter
For a full listing of the formatting types, called LogRecords, look to the Python documentation here:

docs.python.org/3/library/loggโ€ฆ
Python's logging module allows you to log to multiple handlers at once. For example, it's easy to log to a file and to stdout at the same time!

You can apply different formatters to different handlers too!
Some developers don't like coding up all that boilerplate code when working with the `logging` module

Fortunately, there are alternatives such as using a `dictConfig`:
You can also use a `fileConfig` to configure Python's logging module
I created a video tutorial about logging with Python on my YouTube channel:

I have several logging articles on @mousevspython too:

blog.pythonlibrary.org/page/2/?s=loggโ€ฆ
The code for these logging examples is up on my PyTips GitHub repo: github.com/driscollis/pytโ€ฆ
I hope you enjoyed learning about logging in #Python with me.

Follow me for more great information on the Python programming language

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More from @driscollis

Feb 1
Did you know that #Python supports SQLite in the standard library? That's right. You don't need to install anything! ๐Ÿ๐Ÿš€

Let's talk a little about that!

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If you have a pre-existing SQLite database file, you can use #Python's `sqlite3` module to connect to it

Here's how: Image
If you want to create a new SQLite database with #Python, you can use the same syntax that you'd use to connect to a pre-existing one.

Then create a cursor object and create your table, like this: Image
Read 8 tweets
Nov 21, 2023
Today is a great day to talk about #Python lambdas!

Let's learn about them in a thread

๐Ÿ๐Ÿงต๐Ÿ‘‡
A Python lambda is a one-line anonymous function.

Rule #1 is do NOT assign a lambda to a variable.

When you do that, it's no longer an anonymous function. You should just create a regular function at that point Image
If you want to run a lambda in your REPL, wrap it in parentheses, like this: Image
Read 9 tweets
Mar 23, 2023
Want to create a copy of a #Python list? Use Python's `copy()` method!

Note: Watch out if your list contains lists of dictionaries. In those cases, you might be better off using copy.deepcopy()
But be careful! If your list contains a mutable object, like another list or a dictionary, you may encounter some unexpected behavior.

In the following example, you `copy()` the list. Then you modify the nested dictionary in the copy, but that also changes the original list!
You can fix this behavior by using Python's `copy` module. It provides a deepcopy() function that you can use which will make a deep copy of the ENTIRE list!
Read 4 tweets
Mar 22, 2023
#Python generators aren't talked about enough.

So let's talk about them today!

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According to the #Python wiki, "Generator functions allow you to declare a function that behaves like an iterator"

One of their best use cases is to chunk through large data sets a piece at a time, which prevents you from running out of memory.

wiki.python.org/moin/Generators
To create a generator in #Python, you need to use the `yield` keyword instead of `return` inside a function.

Generators will continue to yield values until the generator is exhausted.

The following example will continue to yield numbers for as long as you call it: Image
Read 10 tweets
Mar 21, 2023
My 11th #Python book is now available! ๐Ÿ๐Ÿคฏ

Test your Python skills and knowledge with over 100 PYthon quizzes. Answers are included if you get stuck!

Available on Amazon, Leanpub, and Gumroad (see following tweets)
Get my 11th #Python book, The Python Quiz book on Amazon in the following formats:

๐Ÿ Kindle
๐Ÿ Paperback

amazon.com/dp/B0BVT8DZV1
You can find The Python Quiz Book on @gumroad too in the following formats:

๐Ÿ epub
๐Ÿ PDF

driscollis.gumroad.com/l/pyquiz
Read 4 tweets
Mar 17, 2023
Starting in Python 3.7, the `breakpoint()` built-in function was added

It is defined in PEP 553 and simplifies adding a breakpoint to your code

#python_builtins_by_driscollis

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You can read about the `breakpoint()` function for Python here:

python.org/dev/peps/pep-0โ€ฆ
Here is some sample code showing how to use the `breakpoint()` function in your Python code
Read 6 tweets

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