Dask
MessagePack
Dask | MessagePack | |
---|---|---|
32 | 22 | |
12,022 | 1,378 | |
0.8% | 0.3% | |
9.6 | 8.1 | |
3 days ago | 10 days ago | |
Python | Java | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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/
MessagePack
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What is the fastest way to encode the arbitrary struct into bytes?
so appreciate such a detailed reply, thanks. btw, why did you choose tinylib/msgp from 4 available go-impls?
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Using Arduino as input to Rust project (help needed)
If you find you're running the serial connection at maximum speed and it's still not fast enough, try switching to a more compact binary encoding that has both Serde and Arduino implementations, like MsgPack... though I don't remember enough about its format off the top of my head to tell you the easiest way to put an unambiguous header on each packet/message to make the protocol self-synchronizing.
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Java Serialization with Protocol Buffers
The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto.
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Multiplayer Networking Solutions
MessagePack Similar to JSONs, just more compact, although not as much as the ones above. Still, it's usefull to retain some readability in your messages.
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Sketch crashes with "Soft WDT reset" randomly (ArduinoJSON and HTTPClient)
I'll try that msgpack.org website.
- Unknown encryption method ?
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GitHub - realtimetech-solution/opack: Fast object or data serialize and deserialize library
First of all, you're comparing this to GSON and Kryo, how does it compare to Msgpack, fast-serialization, but also Elsa and I'm sure, many others? Are there any limitations and/or trade-offs?
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Optimal dispatcher for json messages ?
Upvote for msgpack, one of the great undervalued message protocols available.
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Rust is just as fast as C/C++
I have two suggestions Capnproto, MessagePack (those are only the two examples that came to mind first, i bet there are even one or two especially developed for rust). Both of these are better than json in nearly every way.
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msgspec - a fast & friendly JSON/MessagePack library
Encode messages as JSON or MessagePack.
What are some alternatives?
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
Numba - NumPy aware dynamic Python compiler using LLVM
Kryo - Java binary serialization and cloning: fast, efficient, automatic
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.
Cap'n Proto - Cap'n Proto serialization/RPC system - core tools and C++ library
NetworkX - Network Analysis in Python
Protobuf - Protocol Buffers - Google's data interchange format
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
protostuff - Java serialization library, proto compiler, code generator
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
ZLib - A massively spiffy yet delicately unobtrusive compression library.