mpire
Dask
| mpire | Dask | |
|---|---|---|
| 8 | 32 | |
| 1,910 | 12,022 | |
| 1.5% | 0.8% | |
| 7.5 | 9.6 | |
| 9 days ago | 2 days ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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mpire
- GitHub - sybrenjansen/mpire: A Python package for easy multiprocessing, but faster than multiprocessing
- Mpire: A Python package for easier and faster multiprocessing
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Which not so well known Python packages do you like to use on a regular basis and why?
mpire for multiprocessing.
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How do you deal with parallelising parts of an ML pipeline especially on Python?
https://github.com/Slimmer-AI/mpire is a nice lib, with better performance than multiprocessing.
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Dask – a flexible library for parallel computing in Python
Shout out to an alternative to Dask: MPIRE https://github.com/Slimmer-AI/mpire
- Multi-Threading in Python
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I'd like to introduce MPIRE: MultiProcessing Is Really Easy
After several iterations of feedback and exposure to production environments, it is now the go-to multiprocessing library at Slimmer AI. Recently, we’ve made it publicly available on GitHub (https://github.com/Slimmer-AI/mpire).
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?
cudf - cuDF - GPU DataFrame Library
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
distributed - A distributed task scheduler for Dask
Numba - NumPy aware dynamic Python compiler using LLVM
pathml - Tools for computational pathology
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.
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
NetworkX - Network Analysis in Python
legate.pandas - An Aspiring Drop-In Replacement for Pandas at Scale
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
pyroute2 - Python Netlink and PF_ROUTE library — network configuration and monitoring
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python