estou explodindo dataframes pandas para extrair dados, processar e inserir no banco de dados mas queria estar fazendo mostarda de fermentação natural
October 23, 2025 at 6:54 PM
estou explodindo dataframes pandas para extrair dados, processar e inserir no banco de dados mas queria estar fazendo mostarda de fermentação natural
Wrote a new article where I checkpoint the work we’ve done so far enabling Kaggle style EDA-to-model workflows in Haskell.
Covers Jupyter notebooks, dataframes, charting and machine learning with the iris dataset as the working example.
mchav.github.io/iris-classif...
Covers Jupyter notebooks, dataframes, charting and machine learning with the iris dataset as the working example.
mchav.github.io/iris-classif...
Progress towards Kaggle-style workflows in Haskell
There’s been a lot of work in the Haskell ecosystem that has made it easier to write interactive Kaggle-like scripts. I’d like to showcase the synergy between 3 such tools: dataframe (my own creation)...
mchav.github.io
October 14, 2025 at 6:24 AM
Wrote a new article where I checkpoint the work we’ve done so far enabling Kaggle style EDA-to-model workflows in Haskell.
Covers Jupyter notebooks, dataframes, charting and machine learning with the iris dataset as the working example.
mchav.github.io/iris-classif...
Covers Jupyter notebooks, dataframes, charting and machine learning with the iris dataset as the working example.
mchav.github.io/iris-classif...
Okay, I did eventually get this to sum numbers, but here's the kicker.
IT USES PYTHON AND PANDAS TO ANALYZE THE DATA
It ships all the data as a CSV off to some other compute source rather than just figuring out what formula is necessary.
IT USES PYTHON AND PANDAS TO ANALYZE THE DATA
It ships all the data as a CSV off to some other compute source rather than just figuring out what formula is necessary.
October 7, 2025 at 6:44 PM
Okay, I did eventually get this to sum numbers, but here's the kicker.
IT USES PYTHON AND PANDAS TO ANALYZE THE DATA
It ships all the data as a CSV off to some other compute source rather than just figuring out what formula is necessary.
IT USES PYTHON AND PANDAS TO ANALYZE THE DATA
It ships all the data as a CSV off to some other compute source rather than just figuring out what formula is necessary.
Data cleaning is the backbone of reliable analysis. With Python’s pandas, you can handle missing values, drop duplicates, rename columns, filter rows, group data, and even merge DataFrames seamlessly. Clean data = clear insights. #Python #DataCleaning #Pandas #DataScience
October 4, 2025 at 3:07 PM
Data cleaning is the backbone of reliable analysis. With Python’s pandas, you can handle missing values, drop duplicates, rename columns, filter rows, group data, and even merge DataFrames seamlessly. Clean data = clear insights. #Python #DataCleaning #Pandas #DataScience
Oh, uh, my dataframes always start out as "df" and then "df2" and then I just keep adding numbers to the end, and I should probably give them more descriptive names. 😅
September 24, 2025 at 11:51 PM
Oh, uh, my dataframes always start out as "df" and then "df2" and then I just keep adding numbers to the end, and I should probably give them more descriptive names. 😅
A little reminder that Explorer has `DataFrame.from_query/4`, which allows you to connect directly to your database and pull data into dataframes via SQL queries. I've found this more than a little useful. #ElixirLang hexdocs.pm/explorer/Exp...
Explorer.DataFrame — Explorer v0.10.1
hexdocs.pm
December 5, 2024 at 10:17 AM
A little reminder that Explorer has `DataFrame.from_query/4`, which allows you to connect directly to your database and pull data into dataframes via SQL queries. I've found this more than a little useful. #ElixirLang hexdocs.pm/explorer/Exp...
Vol:17 No:12 → PD-Explain: A Unified Python-native Framework for Query Explanations Over DataFrames
👥 Authors: Itay Elyashiv, Amir Gilad, Edna Isakov, Tal Tikochinsky, Amit Somech
📄 PDF: https://www.vldb.org/pvldb/vol17/p4473-gilad.pdf
👥 Authors: Itay Elyashiv, Amir Gilad, Edna Isakov, Tal Tikochinsky, Amit Somech
📄 PDF: https://www.vldb.org/pvldb/vol17/p4473-gilad.pdf
December 3, 2024 at 5:00 AM
Vol:17 No:12 → PD-Explain: A Unified Python-native Framework for Query Explanations Over DataFrames
👥 Authors: Itay Elyashiv, Amir Gilad, Edna Isakov, Tal Tikochinsky, Amit Somech
📄 PDF: https://www.vldb.org/pvldb/vol17/p4473-gilad.pdf
👥 Authors: Itay Elyashiv, Amir Gilad, Edna Isakov, Tal Tikochinsky, Amit Somech
📄 PDF: https://www.vldb.org/pvldb/vol17/p4473-gilad.pdf
I'm building a Python CLI/TUI with the cyclopts package. I'm using the transmission_rpc package to connect to a remote Transmission instance to control torrents. I'm using Pandas to make dataframes to display the torrent data to the user, & to snapshot to parquet for long term analysis 🐍🐼✨
November 29, 2024 at 6:59 AM
I'm building a Python CLI/TUI with the cyclopts package. I'm using the transmission_rpc package to connect to a remote Transmission instance to control torrents. I'm using Pandas to make dataframes to display the torrent data to the user, & to snapshot to parquet for long term analysis 🐍🐼✨
I finally wrapped up and submitted to PyPi this little set of #python pandas methods for summarising dataframes (like inspectdf if any #rstats -ers remembers / used that). It's a little bit rough around the edges, so forgive any bugs!
github.com/alastairrush...
github.com/alastairrush...
January 27, 2025 at 5:19 PM
I finally wrapped up and submitted to PyPi this little set of #python pandas methods for summarising dataframes (like inspectdf if any #rstats -ers remembers / used that). It's a little bit rough around the edges, so forgive any bugs!
github.com/alastairrush...
github.com/alastairrush...
👉 The pandas library:
What is it?
DataFrames
Series
Exploring Columns
Numeric Columns
String Columns
Datetime Columns
⬇️
What is it?
DataFrames
Series
Exploring Columns
Numeric Columns
String Columns
Datetime Columns
⬇️
November 2, 2024 at 4:02 PM
👉 The pandas library:
What is it?
DataFrames
Series
Exploring Columns
Numeric Columns
String Columns
Datetime Columns
⬇️
What is it?
DataFrames
Series
Exploring Columns
Numeric Columns
String Columns
Datetime Columns
⬇️
👀 Explore your dataframes interactively with TableReport.
AKA: 📈 we heard you liked plots so we put plots in your tables 📈
AKA: 📈 we heard you liked plots so we put plots in your tables 📈
November 19, 2024 at 3:33 PM
👀 Explore your dataframes interactively with TableReport.
AKA: 📈 we heard you liked plots so we put plots in your tables 📈
AKA: 📈 we heard you liked plots so we put plots in your tables 📈
whereas on a hypothetical extended protocol with retained realtime datastreams you could be like "im writing to X stream" and people can be like "oh i'll sub to that for new dataframes" as well as query historical frames either *as* the stream is live or after it's already finished
June 26, 2025 at 9:48 PM
whereas on a hypothetical extended protocol with retained realtime datastreams you could be like "im writing to X stream" and people can be like "oh i'll sub to that for new dataframes" as well as query historical frames either *as* the stream is live or after it's already finished
python-polars 1.32.2-1 x86_64 Blazingly fast DataFrames library using Apache Arrow Columnar Format as memory model
#Extra-Testing #x86_64
Origin | Interest | Match
#Extra-Testing #x86_64
Origin | Interest | Match
Arch Linux - python-polars 1.32.0-1 (x86_64)
archlinux.org
August 10, 2025 at 9:31 AM
python-polars 1.32.2-1 x86_64 Blazingly fast DataFrames library using Apache Arrow Columnar Format as memory model
#Extra-Testing #x86_64
Origin | Interest | Match
#Extra-Testing #x86_64
Origin | Interest | Match
📊 #VectorDB #LanceDB v0.4.5 works with @pola.rs DataFrames & LazyFrames for faster vector data handling. Vectorize your CSV fast!
👉 Discuss in Discord: linktr.ee/qdrddr
#AI #LLM #DataFrames
👉 Discuss in Discord: linktr.ee/qdrddr
#AI #LLM #DataFrames
LanceDB + Polars
A (near) perfect match
A spiritual successor to pandas, Polars is a new blazing fast DataFrame library for Python written in Rust. At LanceDB, we hear from many of our users that they process data us...
blog.lancedb.com
August 14, 2025 at 9:13 PM
📊 #VectorDB #LanceDB v0.4.5 works with @pola.rs DataFrames & LazyFrames for faster vector data handling. Vectorize your CSV fast!
👉 Discuss in Discord: linktr.ee/qdrddr
#AI #LLM #DataFrames
👉 Discuss in Discord: linktr.ee/qdrddr
#AI #LLM #DataFrames
Bueno. No resolví ninguno de los ejercicios de la facu que tenía que resolver, me mandé tantas c4gadas que ni git me pudo salvar y perdí el laburo que hice en junio, pero me volví experta en manejo de dataframes...
a man is holding a microphone and giving a thumbs up with the words pero no tan mal below him
ALT: a man is holding a microphone and giving a thumbs up with the words pero no tan mal below him
media.tenor.com
October 17, 2025 at 1:50 AM
Bueno. No resolví ninguno de los ejercicios de la facu que tenía que resolver, me mandé tantas c4gadas que ni git me pudo salvar y perdí el laburo que hice en junio, pero me volví experta en manejo de dataframes...
pola-rs / polars: Dataframes powered by a multithreaded, vectorized query engine, written in Rust ★25903 https://github.com/pola-rs/polars
pola-rs / polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
github.com
April 17, 2024 at 3:14 AM
pola-rs / polars: Dataframes powered by a multithreaded, vectorized query engine, written in Rust ★25903 https://github.com/pola-rs/polars
A reminder that you can come to my DataFrames / DFLib talk @devnexus.bsky.social in March in Atlanta. Atlanta used to be home back in the day. Always enjoy coming back.
And here is the code for a 40% discount on the conference ticket - SPEAK40.
devnexus.com/presentation...
And here is the code for a 40% discount on the conference ticket - SPEAK40.
devnexus.com/presentation...
DataFrame - a Swiss Army Knife of Java Data Processing
devnexus.com
February 6, 2025 at 3:31 PM
A reminder that you can come to my DataFrames / DFLib talk @devnexus.bsky.social in March in Atlanta. Atlanta used to be home back in the day. Always enjoy coming back.
And here is the code for a 40% discount on the conference ticket - SPEAK40.
devnexus.com/presentation...
And here is the code for a 40% discount on the conference ticket - SPEAK40.
devnexus.com/presentation...
Bioframe: operations on genomic intervals in Pandas dataframes academic.oup.com/bioinformati... 🧬🖥️ github.com/open2c/biofr...
Bioframe: operations on genomic intervals in Pandas dataframes
AbstractMotivation. Genomic intervals are one of the most prevalent data structures in computational genome biology, and used to represent features ranging from
academic.oup.com
March 1, 2024 at 10:30 AM
Bioframe: operations on genomic intervals in Pandas dataframes academic.oup.com/bioinformati... 🧬🖥️ github.com/open2c/biofr...
pola-rs / polars: Dataframes powered by a multithreaded, vectorized query engine, written in Rust ★26119 https://github.com/pola-rs/polars
pola-rs / polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
github.com
April 23, 2024 at 4:15 PM
pola-rs / polars: Dataframes powered by a multithreaded, vectorized query engine, written in Rust ★26119 https://github.com/pola-rs/polars
January 8, 2025 at 12:03 AM
The latest update for #InfluxDB includes "Optimizing SQL (and DataFrames) in DataFusion: Part 2" and "Simplifying Multi-Node Setups with InfluxDB 3 Enterprise Modes".
#monitoring #devops #timeseries https://opsmtrs.com/2W5CAx0
#monitoring #devops #timeseries https://opsmtrs.com/2W5CAx0
InfluxData
InfluxData provides the leading time series platform to instrument, observe, learn and automate any system, application and business process across a variety of use cases.
opsmtrs.com
April 4, 2025 at 4:04 AM
The latest update for #InfluxDB includes "Optimizing SQL (and DataFrames) in DataFusion: Part 2" and "Simplifying Multi-Node Setups with InfluxDB 3 Enterprise Modes".
#monitoring #devops #timeseries https://opsmtrs.com/2W5CAx0
#monitoring #devops #timeseries https://opsmtrs.com/2W5CAx0
pola-rs / polars: Dataframes powered by a multithreaded, vectorized query engine, written in Rust ★29257 https://github.com/pola-rs/polars
pola-rs / polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
github.com
September 16, 2024 at 3:23 PM
pola-rs / polars: Dataframes powered by a multithreaded, vectorized query engine, written in Rust ★29257 https://github.com/pola-rs/polars
3. groupby aggregates return dataframes (cont)
Maybe I'm just a fan of Monads like Maybe or Option where you specifically have to unwrap the type once you've entered the Monad's universe.
I think I'm missing something here because I see polars follows pandas here. I think Julia also would follow.
Maybe I'm just a fan of Monads like Maybe or Option where you specifically have to unwrap the type once you've entered the Monad's universe.
I think I'm missing something here because I see polars follows pandas here. I think Julia also would follow.
April 14, 2025 at 12:56 AM
3. groupby aggregates return dataframes (cont)
Maybe I'm just a fan of Monads like Maybe or Option where you specifically have to unwrap the type once you've entered the Monad's universe.
I think I'm missing something here because I see polars follows pandas here. I think Julia also would follow.
Maybe I'm just a fan of Monads like Maybe or Option where you specifically have to unwrap the type once you've entered the Monad's universe.
I think I'm missing something here because I see polars follows pandas here. I think Julia also would follow.
Time series + pandas DataFrames = a smoother workflow.
Explore how to integrate pandas with InfluxDB to simplify your data analysis. ↴ https://www.youtube.com/watch?v=cMkQXLCbFQY
Explore how to integrate pandas with InfluxDB to simplify your data analysis. ↴ https://www.youtube.com/watch?v=cMkQXLCbFQY
Using Python to work with Pandas Dataframes in InfluxDB
YouTube video by InfluxData
www.youtube.com
September 15, 2025 at 3:47 PM
Time series + pandas DataFrames = a smoother workflow.
Explore how to integrate pandas with InfluxDB to simplify your data analysis. ↴ https://www.youtube.com/watch?v=cMkQXLCbFQY
Explore how to integrate pandas with InfluxDB to simplify your data analysis. ↴ https://www.youtube.com/watch?v=cMkQXLCbFQY