Search Results for "command prompt tutorial"
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Showing 19 open source projects for "command prompt tutorial"
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
GPTImage2Skill is a curated prompt gallery, agent skill, and command-line workflow for working with GPT Image 2 generation and editing. It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time. -
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GPT-Image2-Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
GPT-Image2-Skill is a prompt gallery, image prompt library, agent skill, and CLI for OpenAI image generation and editing workflows. It collects curated prompt examples with generated outputs so users can reuse strong visual patterns instead of starting from scratch. The project includes categories such as anime, gaming, cyberpunk, animation, character design, typography, illustration, watercolor, ink, pixel art, isometric scenes, product visuals, and food imagery. It can be installed as an... -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
Prompt-eng-interactive-tutorial is a comprehensive, hands-on tutorial that teaches the craft of prompt engineering with Claude through guided, executable lessons. It starts with the anatomy of a good prompt and moves into techniques that deliver the “80/20” gains—separating instructions from data, specifying schemas, and setting evaluation criteria. -
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Mastering Zsh
Advanced topics to take advantage of zsh
Mastering Zsh is a documentation project focused on helping users go beyond basic shell usage and take better advantage of zsh. It is written for people who already understand shell fundamentals but want a more powerful, customized, and efficient command-line setup. The guide covers advanced usage, practical examples, and configuration ideas that make zsh more productive. It explains topics such as completions, prompt customization, helper functions, and shell behavior in a structured way. The project is especially useful for developers, DevOps users, and terminal-heavy workflows. ... -
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Zsh for Humans
A turnkey configuration for Zsh
...Instead of requiring you to pick and wire together many plugins and themes yourself, it bundles a curated set of Zsh plugins and settings into a coherent, production-ready configuration. The project handles prompt customization, completions, key bindings, history management, and Git integration for you, all tuned for responsiveness and low latency. It is designed to feel like a finished product rather than a DIY starter kit, so new users can get a high-quality shell experience with a single install command. At the same time, it provides escape hatches and configuration points so advanced users can layer their own aliases, functions, and styles on top of the base setup. ... -
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LLM CLI
Access large language models from the command-line
A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine. -
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Watchdog
Python library and shell utilities to monitor filesystem events
Python API library and shell utilities to monitor file system events. A simple program that uses watchdog to monitor directories specified as command-line arguments and logs events generated. Watchdog comes with an optional utility script called watchmedo. Please type watchmedo --help at the shell prompt to know more about this tool. You can use the shell-command subcommand to execute shell commands in response to events. watchmedo can read tricks.yaml files and execute tricks within them in response to file system events. ... -
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mlpack
mlpack: a scalable C++ machine learning library
...You can consult any of the CMake tutorials for further documentation, but this tutorial should be enough to get mlpack built and installed. -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
...It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this. -
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior... -
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Win32 DLL and library that in the futur will burn/rip/test/fix/erase CD-R/CD-RW/DVD-RAM/DVD-R/DVD-RW/DVD+R/DVD+RW/DVD+R DL/BD-R/BD-RE , and eventually it is also a documentation and or tutorial to Adaptec ASPI and ISO 9660
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model... -
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Linux-Tutorial
Learning repository written from the perspective of a Java programmer
Linux-Tutorial is a Simplified Chinese Linux learning repository written from the perspective of a Java programmer. It aims to help more developers enter the Linux world by organizing practical notes, installation guides, command references, and server setup material. The content covers Linux basics, Ubuntu, CentOS, Kali Linux, VMware, Vim, SSH, Bash, Sed, compression tools, Yum, Zsh, and many development operations topics. -
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Terminals Are Sexy
A curated list of Terminal frameworks, plugins & resources
This repository is a curated, community-driven collection of tools, tips, themes, and resources that make working in the terminal more productive and enjoyable. It pulls together high-quality links to terminal emulators, shells, prompts, plugins, fonts, color schemes, and command-line utilities, alongside learning materials for sharpening everyday CLI skills. The list favors practical, well-maintained projects and is organized so you can quickly discover alternatives for common tasks... -
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evil.sh
Subtle and not-so-subtle shell tweaks
evil.sh is a shell script collection of “subtle and not-so-subtle shell tweaks that will slowly drive people insane,” as the README states. It is a playful (some might say mischievous) set of shell customizations, aliases, overrides or environment changes intended for fun (or prank) usage—e.g., customizing the shell prompt, redirecting commands, changing behaviors of common commands in subtle ways. The repository warns that it is purely for entertainment and that the author is not... -
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Qoa
Minimal interactive command-line prompts library
Qoa is a lightweight command-line prompt library for Node.js. It helps developers collect user input through simple, interactive, and configurable terminal prompts. The library has no external dependencies, which makes it small, fast, and easy to add to CLI tools. It includes seven prompt types, covering plain input, confirmation, password-style hidden input, single-key input, quizzes, and navigable choices. -
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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Python/xarray tutorial
Python/xarray tutorial for GEOS-Chem users
If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda...
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