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Moving Seamlessly from Development Environments to Production Realities
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Alireza Farhidzadeh |
2023-03-22 |
1,437 |
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2023 review and looking ahead to 2024
|
Melissa Machay |
2024-02-13 |
736 |
--
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Python data processing engine comparison with NYC Taxi trips (Bodo vs. Spark, …
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Ehsan Totoni |
2025-01-20 |
1,495 |
--
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Bodo is Going Open Source – HPC Meets Python for data and …
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Ehsan Totoni |
2025-01-27 |
632 |
--
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Run any Python library in parallel with @bodo.wrap_python
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Ehsan Totoni |
2025-01-30 |
652 |
--
|
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Using Bodo to Read and Write AWS S3 Tables in Python
|
Isaac Warren |
2025-02-12 |
672 |
4
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Parallel FASTA Aggregation with Bodo: A Python Example for Scalable Bioinformatics
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Rohit Krishnan |
2025-02-20 |
713 |
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Bodo ♥️ PyIceberg: Scalable IO with the Simplicity of Python
|
Srinivas Lade |
2025-02-26 |
714 |
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|
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Bodo vs. Numba: Choosing the Right Tool for High-Performance Python
|
Todd A. Anderson and Ehsan Totoni |
2025-03-05 |
1,512 |
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|
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How to parallelize your LLM inference calls with Bodo
|
Rohit Krishnan |
2025-03-13 |
908 |
2
|
|
Data Processing Engines Comparison Pt 2.
|
Scott Routledge |
2025-03-24 |
1,586 |
--
|
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Key Takeaways from Iceberg Summit 2025
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Bodo Engineering Team |
2025-04-22 |
706 |
--
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Rethinking DataFrames: Easy as Pandas, Fast as a Data Warehouse
|
Ehsan Totoni |
2025-05-13 |
947 |
--
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Bodo Dataframe Library: First Look
|
Rohit Krishnan |
2025-05-19 |
269 |
--
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Bodo 2025.6 is Here: Supercharged Data Operations with Iceberg, Merge, and Sort
|
Rohit Krishnan |
2025-06-13 |
304 |
--
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Iceberg I/O Optimizations in Compute Engines – Summit Recap
|
Isaac Warren |
2025-06-19 |
206 |
--
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Iceberg I/O performance comparison at scale (Bodo vs PyIceberg, Spark, Daft)
|
Isaac Warren |
2025-07-28 |
623 |
--
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Bodo 2025.7: Turbo‑Charging DataFrames for Production Lakes
|
Rohit Krishnan |
2025-07-04 |
261 |
--
|
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Scaling Amazon S3 Vectors Workflows Effortlessly in Python with Bodo
|
Ehsan Totoni |
2025-08-11 |
554 |
--
|
|
Using LLMs at Scale: A Pandas-Native Approach
|
Isaac Warren |
2025-09-04 |
862 |
--
|
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Python DataFrames (Bodo, Daft, Polars, PySpark, Dask, Modin/Ray) Compete for Your NYC …
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Todd A. Anderson |
2025-09-17 |
1,761 |
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Using LangChain Agents + Bodo DataFrames on Large Datasets
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Scott Routledge |
2025-10-21 |
762 |
--
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Introducing PyDough-CE: A simpler, safer path for natural language analytics
|
Rohit Krishnan |
2025-10-27 |
771 |
--
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PyTorch Conference 2025: Recap and Key Takeaways
|
Scott Routledge |
2025-11-04 |
768 |
--
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From Iceberg to LoRa: A Unified LLM Fine-Tuning Pipeline with Bodo
|
Isaac Warren |
2025-11-06 |
810 |
--
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Bodo Native Integration in PyIceberg 0.10: Bringing Scalability to PyIceberg with Pandas …
|
Isaac Warren |
2025-11-12 |
537 |
--
|
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2025 Wrapped: Bodoâs Year in Review
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Bodo Engineering Team |
2025-12-18 |
1,222 |
--
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Building PyDough: Why We Built a New Analytics Language
|
Bodo Engineering Team |
2026-02-02 |
1,221 |
--
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Bodo DataFrames vs PySpark and Dask on TPC-H Benchmarks
|
Todd A. Anderson and Scott Routledge |
2026-02-05 |
1,727 |
--
|
|
Pandas 3’s Native Integration with Bodo JIT and Iceberg
|
Ehsan Totoni |
2026-02-19 |
729 |
--
|
|
Building PyDough: Moving Correctness Upstream with a Knowledge Graph
|
Bodo Engineering Team |
2026-03-10 |
1,541 |
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