plumbing
Dask
| plumbing | Dask | |
|---|---|---|
| 2 | 32 | |
| 1,483 | 12,022 | |
| -0.1% | 0.8% | |
| 0.0 | 9.6 | |
| over 1 year ago | 2 days ago | |
| Clojure | Python | |
| - | BSD 3-clause "New" or "Revised" License |
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plumbing
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Python dataclass equivalent
This library https://github.com/plumatic/plumbing, a predecessor of spec, has variants of defn and fn that allow you to specify the schema inline, sort of similar to type hints.
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Show HN: Hamilton, a Microframework for Creating Dataframes
This reminds me a bit of a Clojure library called Plumbing (formerly Graph): https://github.com/plumatic/plumbing. It also let you create a DAG for structured computation. It was used for a web service, at that time.
Dask
- The Distributed Tensor Algebra Compiler (2022)
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A peek into Location Data Science at Ola
Data scientists work on phenomenally large datasets, and Dask is a handy tool for exploration within the confines of a single cloud VM or their local PCs. Location data visualization is an essential part of deciding further algorithm development and roadmap for projects. This lays the foundation for data engineering and science to work at scale, with petabytes of data.
- File format for large data with many columns
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What is the best way to save a csv.file in number only ? PC hangs when my file is more than 2GB
Dask
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Large Scale Hydrology: Geocomputational tools that you use
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk.
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msgspec - a fast & friendly JSON/MessagePack library
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec.
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What does it mean to scale your python powered pipeline?
Dask: Distributed data frames, machine learning and more
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Data pipelines with Luigi
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:
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Is Numpy always more efficient than Pandas? And how much should we rely on Python anyway?
Look into Dask, see: https://dask.org/
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Ask HN: Is PySPark a Dead-End?
[1] https://dask.org/
What are some alternatives?
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
defn-spec - Add function args and return Spec checking via assertions
Numba - NumPy aware dynamic Python compiler using LLVM
truss - Assertions micro-library for Clojure/Script
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
NetworkX - Network Analysis in Python
scope-capture - Project your Clojure(Script) REPL into the same context as your code when it ran
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
spec-tools - Clojure(Script) tools for clojure.spec
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python