https://developer.nvidia.com/topics/ai/data-science/cuda-x-data-science-libraries/cudf
An open source CUDA-X Data Science library that accelerates popular libraries like pandas, Polars, and Apache Spark on GPUs—improving DataFrame operations...
nvidia developergpuaccelerateddataframes
https://developer.nvidia.com/blog/training-xgboost-models-with-gpu-accelerated-polars-dataframes/
Nov 25, 2025 - One of the many strengths of the PyData ecosystem is interoperability, which enables seamlessly moving data between libraries that specialize in...
trainingxgboostmodelsgpuaccelerated
https://towardsdatascience.com/modern-dataframes-in-python-a-hands-on-tutorial-with-polars-and-duckdb/
Nov 21, 2025 - How I learned to handle growing datasets without slowing down my entire workflow
moderndataframespythonhandstutorial
https://realpython.com/podcasts/rpp/140/
How can you get more performance from your existing data science infrastructure? What if a DataFrame library could take advantage of your machine's...
episodespeedingdataframespolars
https://dev.to/reshmaharidhas/how-to-merge-dataframes-in-pandas-inner-outer-left-right-3g7i
Jan 15, 2026 - Two datasets or dataframes can be merged together side-by-side in Pandas using the merge()... Tagged with pandas, python, datascience, coding.
mergedataframespandasinnerouter
https://cmu.libcal.com/event/16276577
This workshop is for Python users that are new to data analysis with Pandas. You will first learn basic Python techniques to read tabular data in a Pandas...
data sciencepythonbeginneranalysispandas
https://dev.to/v3rtti/meet-daffy-a-lightweight-guardian-for-your-dataframes-3jih
Jan 5, 2026 - Make pandas/Polars DataFrame assumptions explicit at the function boundary—without cluttering your transformation logic. Tagged with python, pandas, polars,...
dev communitymeetdaffylightweightguardian