Search Results for "icon of program: command"

py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code. py-spy works from the command line and takes either the PID of the program you want to sample from or the command line of the python program you want to run. py-spy has three subcommands record, top and dump. py-spy supports recording profiles to a file using the record command. ...

Toast is a tool for doing work in containers. You define tasks in a YAML file called a toastfile, and Toast runs them in a containerized environment based on a Docker image of your choosing. What constitutes a "task" is up to you, tasks can install system packages, build an application, run a test suite, or even serve web pages. Tasks can depend on other tasks, so Toast can be understood as a high-level containerized build system. Toast caches each task by committing the container to an...

uutils is an attempt at writing universal (as in cross-platform) CLI utilities in Rust. Many GNU, Linux and other utilities are useful, and obviously some effort has been spent in the past to port them to Windows. However, those projects are written in platform-specific C, a language considered unsafe compared to Rust, and have other issues. Rust provides a good, platform-agnostic way of writing systems utilities that are easy to compile anywhere, and this is as good a way as any to try and...

xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable. Simple tasks should be easy. Performance trade offs should be exposed in the CLI interface. Composition should not come at the expense of performance. Let's say you're playing with some of the data from the Data Science Toolkit, which contains several CSV files.