Accelerating Data Science, Python and Open Source
June 30, 2020
Distributed Data Science for IT Professionals
distributed computing, distributed data science, distributed systems, Python, scaling data science
June 28, 2020
Coiled’s first live stream… Science Thursdays!
livestream, Numpy, Pandas, scaling data science
June 25, 2020
Why I Joined Coiled
Dask, data science, open source software, PyData, Python
June 21, 2020
Distributed Computing for Data Scientists
distributed computing, distributed data science, Kubernetes, Python, Use Cases
June 14, 2020
Dask and the PyData Stack
Dask, data science, interactive computing, machine learning, Numpy, PyData
June 7, 2020
A Brief History of Dask
Dask, open source, parallel computing, Python, scaling data science
May 27, 2020
Dask Users: An Overview
Dask, data science, machine learning, Python
May 3, 2020
Challenges of Scaling Data Science in Enterprise
Dask, data management, data science, enterprise infrastructure, machine learning, scaling data science
February 20, 2020
Seven Stages of Open Software
open decision making, open development, open source software, OSS
February 12, 2020
Announcing Coiled Computing
Coiled Computing, Dask, data science, Kubernetes, machine learning, OSS, Python, scalable python
January 7, 2020
I’m Founding a Dask Company
Dask, data science, open source, open source software, Python
Coiled is a Dask company. Using Coiled, data professionals can scale Dask in the cloud…in minutes.
Join James Bourbeau for a webinar on Coiled Runtime and how it can help you get the most out of Dask.
James will walk you through the steps of setting up a custom software environment using coiled-runtime. https://bit.ly/38jlzsA
When working with time-related data, such as dates and timestamps, it’s useful to convert the raw data to the datetime format using to_datetime. https://bit.ly/3solavV
Coiled lets you scale #Python to the cloud using tools you’re familiar with, like NumPy, pandas, scikit-learn, and Jupyter Notebooks.
Coiled manages cloud infrastructure for you, providing the simple experience of a laptop with the scalability of the cloud.
imposter syndrome anyone? 🥸
v grateful to @mrocklin and the @CoiledHQ crew for creating a culture where asking questions and admitting mistakes are actively encouraged.
i'm learning to embrace my inner no0b, grind my ego down, and ask the uncomfortable questions.
Lots of data is stored in CSV files and you’ll often want to read that data into Dask DataFrames to perform analytical queries. https://bit.ly/381eFbb