tmux VS Apache Arrow

tmux Reviews

Apache Arrow Reviews

tmux mentions (26)

• Easy Access to Terminal Commands in Neovim using FTerm

  Having a common set of tools already set up in different windows or sessions in Tmux or Zellij is obviously an option, but there is a subset of us ( 👋 ) that would rather just have fingertip access to our common tools inside of our editor. - Source: dev.to / about 2 months ago

• Automating the startup of a dev workflow

  Well, I now use tmux and tmuxinator. I have had many failed tmux attempts over the years, but I'm firmly bedded in now. - Source: dev.to / 4 months ago

• Connecting Debugger to Rails Applications

  The downside of overmind is that it requires tmux, which is a terminal multiplexer tool. If you don't already use tmux, I'd say it's probably not worth learning it just for the purposes of using overmind. But if you're like me and already know/use tmux, this can be a great solution to pursue. - Source: dev.to / 5 months ago

• NeoVim Capability Functions

  For splitting the terminal you could try either toggleterm or tmux. If you want to send things from one tmux pane to another, then you can use slime. For a toggle-able filetree, you can use nvim tree. Source: 6 months ago

• New User

  Another reason the above setup is helpful is that I use terminal vim in conjunction with Tmux. I always configure my IDE where vim is about 75% of my terminal window, on the left. The other 25% is a command line. In tmux, you can "zoom in" to a tmux pane by using Leader+z (for default tmux, this is "Ctrl+b z"). This effectively allows me to focus on vim but pop out a command line when I need it. Having the three... Source: about 1 year ago

Apache Arrow mentions (33)

• 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++. - Source: dev.to / 2 months ago

• 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... - Source: dev.to / 5 months ago

• 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/. - Source: Hacker News / 5 months ago

• A Polars exploration into Kedro

  Polars is an open-source library for Python, Rust, and NodeJS that provides in-memory dataframes, out-of-core processing capabilities, and more. It is based on the Rust implementation of the Apache Arrow columnar data format (you can read more about Arrow on my earlier blog post “Demystifying Apache Arrow”), and it is optimised to be blazing fast. - Source: dev.to / 12 months ago

• Demystifying Apache Arrow

  Apache Arrow (Arrow for short) is an open source project that defines itself as "a language-independent columnar memory format" (more on that later). It is part of the Apache Software Foundation, and as such is governed by a community of several stakeholders. It has implementations in several languages (C++ and also Rust, Julia, Go, and even JavaScript) and bindings for Python, R and others that wrap the C++... - Source: dev.to / 12 months ago