Apache Arrow
Redis
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Apache Arrow | Redis | |
---|---|---|
75 | 311 | |
13,338 | 64,235 | |
2.0% | 1.0% | |
10.0 | 9.7 | |
6 days ago | 2 days ago | |
C++ | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
Apache Arrow
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How moving from Pandas to Polars made me write better code without writing better code
In comes Polars: a brand new dataframe library, or how the author Ritchie Vink describes it... a query engine with a dataframe frontend. Polars is built on top of the Arrow memory format and is written in Rust, which is a modern performant and memory-safe systems programming language similar to C/C++.
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From slow to SIMD: A Go optimization story
I learned yesterday about GoLang's assembler https://go.dev/doc/asm - after browsing how arrow is implemented for different languages (my experience is mainly C/C++) - https://github.com/apache/arrow/tree/main/go/arrow/math - there are bunch of .S ("asm" files) and I'm still not able to comprehend how these work exactly (I guess it'll take more reading) - it seems very peculiar.
The last time I've used inlined assembly was back in Turbo/Borland Pascal, then bit in Visual Studio (32-bit), until they got disabled. Then did very little gcc with their more strict specification (while the former you had to know how the ABI worked, the latter too - but it was specced out).
Anyway - I wasn't expecting to find this in "Go" :) But I guess you can always start with .go code then produce assembly (-S) then optimize it, or find/hire someone to do it.
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Time Series Analysis with Polars
One is related to the heritage of being built around the NumPy library, which is great for processing numerical data, but becomes an issue as soon as the data is anything else. Pandas 2.0 has started to bring in Arrow, but it's not yet the standard (you have to opt-in and according to the developers it's going to stay that way for the foreseeable future). Also, pandas's Arrow-based features are not yet entirely on par with its NumPy-based features. Polars was built around Arrow from the get go. This makes it very powerful when it comes to exchanging data with other languages and reducing the number of in-memory copying operations, thus leading to better performance.
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TXR Lisp
IMO a good first step would be to use the txr FFI to write a library for Apache arrow: https://arrow.apache.org/
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3D desktop Game Engine scriptable in Python
https://www.reddit.com/r/O3DE/comments/rdvxhx/why_python/ :
> Python is used for scripting the editor only, not in-game behaviors.
> For implementing entity behaviors the only out of box ways are C++, ScriptCanvas (visual scripting) or Lua. Python is currently not available for implementing game logic.
C++, Lua, and Python all implement CFFI (C Foreign Function Interface) for remote function and method calls.
"Using CFFI for embedding" https://cffi.readthedocs.io/en/latest/embedding.html :
> You can use CFFI to generate C code which exports the API of your choice to any C application that wants to link with this C code. This API, which you define yourself, ends up as the API of a .so/.dll/.dylib library—or you can statically link it within a larger application.
Apache Arrow already supports C, C++, Python, Rust, Go and has C GLib support Lua:
https://github.com/apache/arrow/tree/main/c_glib/example/lua :
> Arrow Lua example: All example codes use LGI to use Arrow GLib based bindings
pyarrow.from_numpy_dtype:
- Show HN: Udsv.js – A faster CSV parser in 5KB (min)
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Interacting with Amazon S3 using AWS Data Wrangler (awswrangler) SDK for Pandas: A Comprehensive Guide
AWS Data Wrangler is a Python library that simplifies the process of interacting with various AWS services, built on top of some useful data tools and open-source projects such as Pandas, Apache Arrow and Boto3. It offers streamlined functions to connect to, retrieve, transform, and load data from AWS services, with a strong focus on Amazon S3.
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Cap'n Proto 1.0
Worker should really adopt Apache Arrow, which has a much bigger ecosystem.
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C++ Jobs - Q3 2023
Apache Arrow
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CSV or Parquet File Format
In fact I have asked Apache Github how to read select column of particular row group of a parquet file. https://github.com/apache/arrow/issues/35688
Redis
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Containerize your multi-services app with docker compose
Cache: a Redis cache
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Redis License Changed
I'm curious about something: I suppose Salvatore still owns the copyright for most of the code? The old license does include his copyright, up to 2020: https://github.com/redis/redis/blob/7.2/COPYING So I think this change couldn't have been done without his explicit consent? Or did he transferred his rights to RedisLabs or a foundation?
Redis.io no longer mentions open source.
They have still not changed meta description on their page. It still says it is open source ^^
view-source:https://redis.io/
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Redis Adopts Dual Source-Available Licensing
First they break lolwut (https://github.com/redis/redis/issues/12074) and now this.
Redis Inc. is moving the https://github.com/redis/redis/ project away from the three part BSD license to a dual license using two non-OSI approved license. This comes after previous comment from them saying that "... the Redis core license, which is and will always be licensed under the 3-Clause- BSD".
> They get paid for it. Don't try to spin this as if it's someone people working on it in their spare time out of the goodness of their heart. It's just their job.
No, you can't have this both ways. I'm the main contributor from AWS, and I've worked many times on weekends because I care about open source. I like helping people, I don't need to be paid to do it. Many of the AWS folks that made changes were normal engineers that were excited to be part of Redis. https://github.com/redis/redis/pull/10419 and https://github.com/redis/redis/pull/8621 are both examples of features someone from AWS built in their free time. We're all upset about this. Not because Redis deserves to get paid, it's that they acted like they were being good stewards of the open-source community and then they changed their mind.
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How to choose the right type of database
Redis: An open-source, in-memory data structure store supporting various data types. It offers persistence, replication, and clustering, making it ideal for more complex caching requirements and session storage.
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Delving Deeper: Enriching Microservices with Golang with CloudWeGo
In the bustling e-commerce landscape, Book Shop stands as a testament to CloudWeGo's capacity for seamless integration. Integrating middleware like Elasticsearch and Redis into a Kitex project to build a solid e-commerce system that rivals more complex platforms.
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Cryptoflow: Building a secure and scalable system with Axum and SvelteKit - Part 0
Redis - A storage to store tokens, and sessions etc.
What are some alternatives?
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Redis - 🚀 A robust, performance-focused, and full-featured Redis client for Node.js.
h5py - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Polly - Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+.
celery - Distributed Task Queue (development branch)
Riak - Riak is a decentralized datastore from Basho Technologies.