Working Notes from Matthew Rocklin
- New Blog and RSS Feed: 03 Jan 2023
- Startup Revenue: 25 Jul 2022
- SciPy Mission -- What's next?: 19 Jul 2022
- Small Scope and Fast Review: 26 Mar 2022
- Seven Stages of Ownership: 18 Feb 2022
- Admirable Traits of Tech Leads: 24 Jun 2021
- Where are you based?: 28 Feb 2021
- Employee Benefits: 11 Feb 2021
- Personal COVID Risk: 14 Jan 2021
- Hockey Stick growth and Github Stars: 28 Oct 2020
- My Ideal Tweet: 18 Aug 2020
- Write to a short attention span: 13 Jul 2020
- I'm Founding a Dask Company: 08 Jan 2020
- Sales is about listening: 05 Dec 2019
- What is a Senior Engineer?: 09 Nov 2019
- Reasons to keep your on-site HPC center: 01 Oct 2019
- Tips for Interactive HPC: 01 Oct 2019
- Non-Technical roles in OSS: 28 Aug 2019
- HTML outputs in Jupyter: 04 Jul 2019
- Write Short Blogposts: 25 Jun 2019
- Avoid Indirection in Code: 23 Jun 2019
- The Role of a Maintainer: 18 May 2019
- Why I Avoid Slack: 28 Feb 2019
- Dask, Pandas, and GPUs: first steps: 13 Jan 2019
- GPU Dask Arrays, first steps: 03 Jan 2019
- First Impressions of GPUs and PyData: 17 Dec 2018
- Support Python 2 with Cython: 28 Nov 2018
- Anatomy of an OSS Institutional Visit: 27 Nov 2018
- Joining NVidia: 26 Nov 2018
- So you want to contribute to open source: 12 Oct 2018
- Dask Development Log: 17 Sep 2018
- Dask Release 0.19.0: 05 Sep 2018
- High level performance of Pandas, Dask, Spark, and Arrow: 28 Aug 2018
- Public Institutions and Open Source Software: 21 Aug 2018
- Cloud Lock-in and Open Standards: 19 Aug 2018
- Building SAGA optimization for Dask arrays: 07 Aug 2018
- Dask Development Log: 02 Aug 2018
- Pickle isn't slow, it's a protocol: 23 Jul 2018
- Dask Development Log, Scipy 2018: 17 Jul 2018
- Who uses Dask?: 16 Jul 2018
- Dask Development Log: 08 Jul 2018
- Dask Scaling Limits: 26 Jun 2018
- Dask Release 0.18.0: 14 Jun 2018
- Beyond Numpy Arrays in Python: 27 May 2018
- Dask Release 0.17.2: 21 Mar 2018
- Summer Student Projects 2018: 20 Mar 2018
- Craft Minimal Bug Reports: 28 Feb 2018
- Dask Release 0.17.0: 12 Feb 2018
- Credit Modeling with Dask: 09 Feb 2018
- HDF in the Cloud: 06 Feb 2018
- The Case for Numba in Community Code: 30 Jan 2018
- Write Dumb Code: 27 Jan 2018
- Pangeo: JupyterHub, Dask, and XArray on the Cloud: 22 Jan 2018
- Dask Development Log: 06 Dec 2017
- Dask Release 0.16.0: 21 Nov 2017
- Optimizing Data Structure Access in Python: 03 Nov 2017
- Streaming Dataframes: 16 Oct 2017
- Notes on Kafka in Python: 10 Oct 2017
- Dask Release 0.15.3: 24 Sep 2017
- Fast GeoSpatial Analysis in Python: 21 Sep 2017
- Dask on HPC - Initial Work: 18 Sep 2017
- Dask Release 0.15.2: 30 Aug 2017
- Scikit-Image and Dask Performance: 18 Jul 2017
- Dask Benchmarks: 03 Jul 2017
- Use Apache Parquet: 28 Jun 2017
- Programmatic Bokeh Servers: 28 Jun 2017
- Dask Release 0.15.0: 15 Jun 2017
- Dask Release 0.14.3: 08 May 2017
- Dask Development Log: 28 Apr 2017
- Asynchronous Optimization Algorithms with Dask: 19 Apr 2017
- Streaming Python Prototype: 13 Apr 2017
- Dask and Pandas and XGBoost: 28 Mar 2017
- Dask Release 0.14.1: 23 Mar 2017
- Developing Convex Optimization Algorithms in Dask: 22 Mar 2017
- Biased Benchmarks: 09 Mar 2017
- Dask Release 0.14.0: 27 Feb 2017
- Dask Development Log: 20 Feb 2017
- Experiment with Dask and TensorFlow: 11 Feb 2017
- Two Easy Ways to Use Scikit Learn and Dask: 07 Feb 2017
- Dask Development Log: 30 Jan 2017
- Custom Parallel Algorithms on a Cluster with Dask: 24 Jan 2017
- Dask Development Log: 18 Jan 2017
- Distributed NumPy on a Cluster with Dask Arrays: 17 Jan 2017
- Distributed Pandas on a Cluster with Dask DataFrames: 12 Jan 2017
- Dask Release 0.13.0: 03 Jan 2017
- Dask Development Log: 24 Dec 2016
- Dask Development Log: 18 Dec 2016
- Dask Development Log: 12 Dec 2016
- Dask Development Log: 05 Dec 2016
- Dask Cluster Deployments: 22 Sep 2016
- Dask and Celery: 13 Sep 2016
- Where to Write Prose?: 12 Sep 2016
- Dask Distributed Release 1.13.0: 12 Sep 2016
- Supporting Users in Open Source: 25 Aug 2016
- Dask for Institutions: 16 Aug 2016
- Dask and Scikit-Learn -- Model Parallelism: 12 Jul 2016
- Ad Hoc Distributed Random Forests: 20 Apr 2016
- Fast Message Serialization: 14 Apr 2016
- Distributed Dask Arrays: 26 Feb 2016
- Pandas on HDFS with Dask Dataframes: 22 Feb 2016
- Introducing Dask distributed: 17 Feb 2016
- Write tests: 08 Feb 2016
- Disk Bandwidth: 29 Dec 2015
- Data Bandwidth: 29 Dec 2015
- Dask is one year old: 21 Dec 2015
- Distributed Prototype: 09 Oct 2015
- Efficient Tabular Storage: 28 Aug 2015
- A Weekend with Asyncio: 10 Aug 2015
- Caching: 03 Aug 2015
- Custom Parallel Workflows: 23 Jul 2015
- Write Complex Parallel Algorithms: 26 Jun 2015
- Distributed Scheduling: 23 Jun 2015
- Pandas Categoricals: 18 Jun 2015
- State of Dask: 19 May 2015
- Profiling Data Throughput: 21 Apr 2015
- Partition and Shuffle: 25 Mar 2015
- Efficiently Store Pandas DataFrames: 16 Mar 2015
- Towards Out-of-core DataFrames: 11 Mar 2015
- PyData and the GIL: 10 Mar 2015
- Ising models and Numba: 28 Feb 2015
- Towards Out-of-core ND-Arrays -- Dask + Toolz = Bag: 17 Feb 2015
- Towards Out-of-core ND-Arrays -- Slicing and Stacking: 13 Feb 2015
- Into and Remote Data: 11 Feb 2015
- ReIntroducing Into: 03 Feb 2015
- Towards Out-of-core ND-Arrays -- Spilling to Disk: 16 Jan 2015
- Towards Out-of-core ND-Arrays -- Benchmark MatMul: 14 Jan 2015
- Towards Out-of-core ND-Arrays -- Multi-core Scheduling: 06 Jan 2015
- Towards Out-of-core ND-Arrays -- Frontend: 30 Dec 2014
- Towards Out-of-core ND-Arrays: 27 Dec 2014
- Blaze Datasets: 19 Nov 2014
- Introducing Blaze - Migrations: 01 Sep 2014
- Introducing Blaze - Practice: 01 Sep 2014
- Introducing Blaze - Expressions: 01 Sep 2014
- Streaming Analytics: 04 Jul 2014
- Introducing CyToolz: 01 May 2014
- Python Data Structures are Fast: 01 May 2014
- Multiple Dispatch: 25 Feb 2014
- Python v. Clojure v. Julia: 13 Jan 2014
- Parallelism and Serialization: 05 Dec 2013
- Wordcounting and Verbosity: 15 Nov 2013
- Introducing PyToolz: 17 Oct 2013
- How I Test Python: 15 Sep 2013
- Dictionaries v. Objects: 02 Sep 2013
- Thread First Pattern: 30 Aug 2013
- Using SymPy within Theano: 14 Aug 2013
- Packages Considered Slightly Harmful: 02 Jul 2013
- GroupBy and Package Management: 21 May 2013
- SymPy and Theano -- Matrix Expressions: 05 Apr 2013
- SymPy and Theano -- Scalar Simplification: 28 Mar 2013
- SymPy and Theano -- Code Generation: 19 Mar 2013
- Operation Ordering in MatLab: 26 Feb 2013
- Maximum a Posteriori Estimation: 25 Feb 2013
- Assuming assumptions: 05 Feb 2013
- Commutative Unification: 25 Jan 2013
- LogPy - Facts and Relations: 17 Jan 2013
- Introducing LogPy: 14 Jan 2013
- Statistical Simplification: 11 Dec 2012
- Characteristic Functions: 03 Dec 2012
- Computing the Kalman Filter: 24 Nov 2012
- Building Computations: 23 Nov 2012
- Computations: 21 Nov 2012
- Preliminary BLAS Results: 10 Nov 2012
- Branching Strategies: 09 Nov 2012
- Strategies: 07 Nov 2012
- Unification in SymPy: 01 Nov 2012
- Matrix Computations in SymPy: 29 Oct 2012
