Here's a nice Python parlor trick, swap two variables:

first = '🐥'
second = '🥚'
first, second = second, first

One gripe I have with Pandas is automatic conversion of the index to categories for bar plots.

Here's my code to get around this.

linkedin.com/learning/getti…

I'm still convinced the easiest way to use the Matplotlib library is through Pandas.

Once you learn how to create plots, you can explore and answer questions with ease.

linkedin.com/learning/getti…

This is an unpopular opinion. 😬

In business, you typically have to spend money to make money. That makes sense.

Pandas tip 🐼🤓

Sometimes you want to get all of the values for each category, but there might be a different amount for each category.

This example shows each recorded daily snowfall for every month.

Combine .pivot with .apply! 🤯🐼

I'm still convinced the easiest way to use the Matplotlib library is through Pandas.

Once you learn how to create plots, you can explore and answer questions with ease.

linkedin.com/learning/getti…

Learning about lambdas and .pipe will give you an instant boost with Pandas.

In my LinkedIn Learning Finance course, I show how to make an efficient cumulative returns calculation.

linkedin.com/learning/getti…

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Learning about lambdas and .pipe will give you an instant boost with Pandas.

In my LinkedIn Learning Finance course, I show how to make an efficient cumulative returns calculation.

linkedin.com/learning/getti…

PyCon is a few weeks away.

I'll be there. If you want to have valuable swag that folks actually want, reach out, and we can do a book signing in your booth. Folks will be lined up.

(I have books about Python, XGBoost, Pandas, and Polars)

My Getting Started with Python for Finance course on LinkedIn is a great example of how to write real-world Pandas code.

Here's an example of creating candlestick charts

linkedin.com/learning/getti…

I have a few courses available on the LinkedIn Learning platform. (With more to come.)

See linkedin.com/learning/searc…

Pandas allows you to pass in strings to the .agg method.

I don't know where these are documented other than my book Effective Pandas 2.

My XGBoost book has a hardcover version.

It looks really nice, but it seems that most folks prefer a digital or soft cover version.