The Curious Engineer

All blogs / Python

Quansight Consulting

quansight.com

Quansight connects organizations with open source through consulting, training, and AI/ML expertise—solving data challenges and sustaining Python.

PythonAI / MLDev tools / editors / IDEs

’20’21’22’23’24’25’26
Posts
58 from 1 Jun 2020 to 30 May 2025
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now and then
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company blog
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2025 8

  1. Quansight Is Now a Public Benefit Corporation
  2. Advancing Portfolio Asset Management with AI Integration | A Case Study
  3. Anatomy of a Local PDF ‘Deep Research’ Pipeline
  4. New JupyterLab Extensions: Launchpad and Gallery
  5. GenAI: Things You Need to Know (That Your Parents Didn’t Teach You)
  6. JHub Apps: JupyterHub Launcher With App Deployment
  7. Cloudy With a Chance of Jupyter
  8. Recent Nebari Updates

2024 22

  1. Empowering Your Multimodal AI Vision With Nebari
  2. How Many DataFrame Libraries Do You Need To Change a Lightbulb?
  3. Lessons Learned from NumPy’s Journey
  4. A Quick Overview of Nebari
  5. Simplifying Software Packaging for Scalable, Reproducible Development
  6. Building Private On-Prem AI Infrastructure
  7. My NumPy Year: Creating a DType for the Next Generation of Scientific Computing
  8. Easy AI Computational Benchmarking Across Multiple Cloud Resources
  9. A Year in Review: Quansight’s Contributions to PyTorch in 2023 (& Early 2024)
  10. Make Your AI Vision a Reality with Quansight’s AI Engineering Consulting
  11. Ragna in Action: Building AI Document Interrogation Apps with Open Source Tools
  12. Building a GPU CI Service for conda-forge
  13. Introducing Lightweight Versions of GDAL and PDAL
  14. Reverse-Geocoding in AWS Lambda: Save Time and Money Using Polars Plugins
  15. Community-First Open Source: An Action Plan!
  16. Taming the Toxic Python Environment on your Laptop
  17. PyTorch Progress as a General-Purpose Array-Oriented Computational Backend
  18. Gaining Traction: The Consortium for Python Data API Standards Releases Its 2023 API Specification
  19. Nebari: An Infrastructure Engineering Perspective
  20. Nebari: The End-User Perspective
  21. Streamlined Environment Lifecycle Management for Data Science Workflows with conda-store
  22. Delivering Open Source Expertise to the Enterprise With Our Quansight Labs Partnership

2023 10

  1. Interview: Launching Ragna, the Open Source RAG-based AI Orchestration Framework
  2. Unveiling Ragna: An Open Source RAG-based AI Orchestration Framework Designed to Scale From Research to Production
  3. Generative AI: Made Possible by a Mountain of Open Source
  4. PyTorch 2.1: Quansight’s Improvements to BSR Sparse Matrix Multiplication
  5. PyTorch 2.0: Quansight’s Contributions to torch.func
  6. 10 Years of Teaching with Jupyter: Reflections from Industry & Academia
  7. Scaling Python: The Banking Edition
  8. Pandas and the Geosciences: A 4.5 Billion Year Story
  9. Exploring the Impact of Feedback Loops on LLM Code Generation
  10. A Year in Review: Quansight’s Contributions to PyTorch in 2022

2022 3

  1. Evolving QHub to Nebari: Your Open Source Data Science Platform
  2. Dash, Voila, Panel, & Streamlit—Our Thoughts on the Big Four Dashboarding Tools
  3. A Year in Review: Quansight’s Contributions to PyTorch in 2021

2021 7

  1. Exploring Reinforcement Learning
  2. Up and Running With Prefect
  3. Acceleration in Python: Which Is Right for Your Project?
  4. Dask on Coiled
  5. Building a Panel Pipeline
  6. RAPIDS cuCIM: Porting scikit-image Code to the GPU
  7. Open Source Natural Language Processing Libraries to Get You Started

2020 8

  1. Working Across Panel and ipywidgets Ecosystems
  2. Panel/Holoviews Learning Aid
  3. Extending Numba Types for Clean, Fast Code
  4. Quick Dashboarding With Panel
  5. Why We Are Excited About JupyterLab 3.0 Dynamic Extensions!
  6. Announcing QHub
  7. Spatial Filtering at Scale With Dask and Spatialpandas
  8. Will Python Be #1 Forever?