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2023
14
05
Reading from S3 with Polars
24
04
Crucial parameters for streaming in Polars
04
04
Ordering of groupby and unique in Polars
04
04
Exploding a Polars pivot for feature engineering
27
03
Polars, Altair and Vegafusion
20
01
Filtering one df by another
20
01
Embrace streaming mode in Polars
20
01
Lazy mode's hidden timesaver in Polars
20
01
Concat, extend or vstack?
20
01
Polars 🤝 Seaborn
19
01
Comparison of Matplotlib and Plotly in Polars
18
01
Nested dtypes in Polars 1: the `pl.List` dtype
17
01
Talking Polars on the Real Python podcast
06
01
Sinking larger-than-memory Parquet files
2022
16
12
Polars ❤️ sorted data 2: groupby
08
12
To go big you must be lazy
28
11
Cheatsheet for Pandas to Polars
23
11
AWS Lambda with Polars II: PyArrow
23
11
AWS Lambda with Polars
23
11
Quickstart with Polars
21
11
Inspecting a Polars query
10
11
Profiling a Polars query
08
11
ML pre-processing with Polars
07
11
Data science 2025
03
11
Polars 🤝 Matplotlib
01
11
Polars & Huggingface datasets
31
10
Polars on a diet
25
10
Polars up and running
25
10
Polars ❤️ sorted data 1: statistics
11
10
Polars doesn't have an index but what if you want one? Or many?
11
10
Fit XGBoost models directly from Polars and Arrow
06
10
Don't fear the List dtype in Polars
04
10
Breaking your bad habits with Polars
03
10
Getting the largest values with Polars
29
09
Combining data with different schemas
13
09
Polars can help if your data is sorted
13
09
Using Spacy with Polars?
12
09
Flexible time series aggregations in Polars
06
09
Doing ML pre-processing in Polars
05
09
Setting an attribute shortcut in python
05
09
Don't loop over columns in Polars
05
09
IPC files in Polars
05
09
Loading from a database with Polars
05
09
Boolean filters in Polars?
07
06
Testing for data science 3: testing with Pandas
07
06
Testing for data science 2: testing in practice
06
06
Testing for data science 1: why test?
02
01
Parallel loop the loop in numpy
02
01
Attaining flow while writing software
2021
15
09
What software skills do oceanographers want to learn
05
08
Dev in docker without going insane
10
01
JPO at 50: Part II
01
01
JPO at 50: Part I
2020
26
07
Dev in docker
26
06
Career progression
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Reading from S3 with Polars
Concat, extend or vstack?
Lazy mode's hidden timesaver in Polars
Embrace streaming mode in Polars
Filtering one df by another
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Trending Tags
Polars
ML
NLP
Optimisation
Visualisation
career
Cloud
Docker
IO
lazy