tomathon
@tomathon.bsky.social
developer by day, caffeine junkie by night | 10+ yrs of experience still making the same rookie mistakes
impressive. very nice. would love to see some Rust IO supoort for Hive, HF, and BigQuery tho
January 14, 2026 at 9:28 PM
impressive. very nice. would love to see some Rust IO supoort for Hive, HF, and BigQuery tho
Love the json_normalize() function! Very useful, especially when paired with pydantic for structure validation 😎
Also, the 100 days is almost over! I’m going to miss these posts.
Also, the 100 days is almost over! I’m going to miss these posts.
June 29, 2025 at 3:38 PM
Love the json_normalize() function! Very useful, especially when paired with pydantic for structure validation 😎
Also, the 100 days is almost over! I’m going to miss these posts.
Also, the 100 days is almost over! I’m going to miss these posts.
Nice one. Really useful when importing JSON object lists into data frame format.
June 20, 2025 at 1:24 PM
Nice one. Really useful when importing JSON object lists into data frame format.
It’s wild how often this happens
June 16, 2025 at 1:24 PM
It’s wild how often this happens
Enum is a really useful data type and IMO largely underutilized. I use it a lot with sorting and filtering named month data (ie June > April, etc).
June 10, 2025 at 9:39 PM
Enum is a really useful data type and IMO largely underutilized. I use it a lot with sorting and filtering named month data (ie June > April, etc).
Yes! This is something I’ve noticed for other packages in the past. Strange.
June 9, 2025 at 2:12 PM
Yes! This is something I’ve noticed for other packages in the past. Strange.
Yeah you can use the ‘how = “horizontal”’ arg to stack them horizontally.
June 1, 2025 at 12:17 AM
Yeah you can use the ‘how = “horizontal”’ arg to stack them horizontally.
Nice! I always just use pl.concat(), but this seems like a much more elegant solution.
May 31, 2025 at 8:25 PM
Nice! I always just use pl.concat(), but this seems like a much more elegant solution.
Oh nice, I didn’t know about this one!
May 26, 2025 at 2:07 PM
Oh nice, I didn’t know about this one!
This one is very useful when working with APIs, converting your data frame an object that can be passed to the body of a request.
May 19, 2025 at 2:36 PM
This one is very useful when working with APIs, converting your data frame an object that can be passed to the body of a request.
yyyy-mm-dd is my favorite date format so I really appreciate Polars making it easy to work with
May 14, 2025 at 4:38 PM
yyyy-mm-dd is my favorite date format so I really appreciate Polars making it easy to work with
This is really neat. I came across Hyndman’s original R version of this book years ago and I remember thinking how cool it would be to have a Python version.
May 7, 2025 at 1:07 PM
This is really neat. I came across Hyndman’s original R version of this book years ago and I remember thinking how cool it would be to have a Python version.
This is really neat! I usually do this by first creating a map dict object and then using the .replace_strict() function to map variables. It helps standardize mapping for new data. But this is a really good alternative when working with one table at a time!
May 6, 2025 at 2:03 PM
This is really neat! I usually do this by first creating a map dict object and then using the .replace_strict() function to map variables. It helps standardize mapping for new data. But this is a really good alternative when working with one table at a time!
Very useful! I often use this along with a ‘with’ statement to preserve the global config.
with pl.Config(thousands_separator=“,”):
print(df)
with pl.Config(thousands_separator=“,”):
print(df)
April 21, 2025 at 3:16 PM
Very useful! I often use this along with a ‘with’ statement to preserve the global config.
with pl.Config(thousands_separator=“,”):
print(df)
with pl.Config(thousands_separator=“,”):
print(df)
Bluesky needs a boormarks option for posts like this. Super useful stuff!
April 16, 2025 at 3:52 AM
Bluesky needs a boormarks option for posts like this. Super useful stuff!
Really useful! Didn’t know this existed and will be using it going forward.
These posts are terrific!
These posts are terrific!
April 14, 2025 at 2:14 PM
Really useful! Didn’t know this existed and will be using it going forward.
These posts are terrific!
These posts are terrific!
RF on its own is criminally underrated. But yes, I agree on XGBRF reg too.
April 8, 2025 at 2:31 AM
RF on its own is criminally underrated. But yes, I agree on XGBRF reg too.
The .add() method is pure zen of python. I prefer it personally.
April 1, 2025 at 5:38 PM
The .add() method is pure zen of python. I prefer it personally.
These are really useful!
March 25, 2025 at 1:48 PM
These are really useful!