#other #awesome #awesome_list #bash #cli #fish #list #shell #zsh
https://github.com/alebcay/awesome-shell
https://github.com/alebcay/awesome-shell
GitHub
GitHub - alebcay/awesome-shell: A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome…
A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php. - alebcay/awesome-shell
#lua #alacritty #alacritty_colorscheme #alacritty_theme #fish_shell #fish_theme #iterm2 #iterm2_colors #kitty #kitty_themes #neovim #neovim_colorscheme #neovim_lua #neovim_theme #vim #vim_colorscheme #vim_theme
https://github.com/folke/tokyonight.nvim
https://github.com/folke/tokyonight.nvim
GitHub
GitHub - folke/tokyonight.nvim: 🏙 A clean, dark Neovim theme written in Lua, with support for lsp, treesitter and lots of plugins.…
🏙 A clean, dark Neovim theme written in Lua, with support for lsp, treesitter and lots of plugins. Includes additional themes for Kitty, Alacritty, iTerm and Fish. - folke/tokyonight.nvim
#go #bash #cli #fish #fzf #go #neovim #tmux #unix #vim #zsh
fzf is a powerful command-line fuzzy finder that helps you quickly find and select items from lists, such as files, command history, processes, and more. Here are the key benefits fzf is highly optimized and can process millions of items instantly. It is fully customizable and works with various shell environments like bash, zsh, and fish.
- **Easy Installation** fzf uses a "fuzzy" matching algorithm, allowing you to type patterns with omitted characters and still get the results you want.
- **Shell Integration** You can set up custom key bindings, preview windows, and integrate it with tools like Vim and Neovim.
- **Performance**: Despite its features, fzf remains fast and efficient, making it suitable for large datasets.
Overall, fzf enhances your command-line experience by making it easier and faster to find what you need.
https://github.com/junegunn/fzf
fzf is a powerful command-line fuzzy finder that helps you quickly find and select items from lists, such as files, command history, processes, and more. Here are the key benefits fzf is highly optimized and can process millions of items instantly. It is fully customizable and works with various shell environments like bash, zsh, and fish.
- **Easy Installation** fzf uses a "fuzzy" matching algorithm, allowing you to type patterns with omitted characters and still get the results you want.
- **Shell Integration** You can set up custom key bindings, preview windows, and integrate it with tools like Vim and Neovim.
- **Performance**: Despite its features, fzf remains fast and efficient, making it suitable for large datasets.
Overall, fzf enhances your command-line experience by making it easier and faster to find what you need.
https://github.com/junegunn/fzf
GitHub
GitHub - junegunn/fzf: :cherry_blossom: A command-line fuzzy finder
:cherry_blossom: A command-line fuzzy finder. Contribute to junegunn/fzf development by creating an account on GitHub.
#rust #fish #rust #shell #terminal
Fish is a user-friendly command line shell for macOS, Linux, and other systems. It offers features like syntax highlighting, autosuggest-as-you-type, and fancy tab completions without needing any configuration. You can install fish using tools like Homebrew on macOS or package managers on Linux. Once installed, you can run `fish` to start using it. The benefits include easier typing with autosuggestions, colorful syntax highlighting, and comprehensive documentation available through the `help` command or online resources. This makes using the command line more intuitive and efficient.
https://github.com/fish-shell/fish-shell
Fish is a user-friendly command line shell for macOS, Linux, and other systems. It offers features like syntax highlighting, autosuggest-as-you-type, and fancy tab completions without needing any configuration. You can install fish using tools like Homebrew on macOS or package managers on Linux. Once installed, you can run `fish` to start using it. The benefits include easier typing with autosuggestions, colorful syntax highlighting, and comprehensive documentation available through the `help` command or online resources. This makes using the command line more intuitive and efficient.
https://github.com/fish-shell/fish-shell
GitHub
GitHub - fish-shell/fish-shell: The user-friendly command line shell.
The user-friendly command line shell. Contribute to fish-shell/fish-shell development by creating an account on GitHub.
#rust #autojump #bash #cli #command_line #command_line_tool #elvish #fasd #fish #fish_shell #fzf #hacktoberfest #jump #nushell #powershell #rust #shell #xonsh #xontrib #z #zsh
zoxide is a smarter version of the `cd` command that remembers your most frequently used directories. This allows you to quickly jump to these directories with just a few keystrokes. Here’s how it benefits you zoxide learns your directory habits and lets you navigate to often-used directories quickly.
- **Easy Installation** You can configure zoxide with flags and environment variables to tailor its behavior to your needs.
- **Integration**: It works with many shells and has integrations with other tools like file managers and text editors.
Overall, zoxide saves you time and effort by making directory navigation faster and more intuitive.
https://github.com/ajeetdsouza/zoxide
zoxide is a smarter version of the `cd` command that remembers your most frequently used directories. This allows you to quickly jump to these directories with just a few keystrokes. Here’s how it benefits you zoxide learns your directory habits and lets you navigate to often-used directories quickly.
- **Easy Installation** You can configure zoxide with flags and environment variables to tailor its behavior to your needs.
- **Integration**: It works with many shells and has integrations with other tools like file managers and text editors.
Overall, zoxide saves you time and effort by making directory navigation faster and more intuitive.
https://github.com/ajeetdsouza/zoxide
GitHub
GitHub - ajeetdsouza/zoxide: A smarter cd command. Supports all major shells.
A smarter cd command. Supports all major shells. Contribute to ajeetdsouza/zoxide development by creating an account on GitHub.
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#python #ant_colony_algorithm #artificial_intelligence #fish_swarms #genetic_algorithm #heuristic_algorithms #immune #immune_algorithm #optimization #particle_swarm_optimization #pso #simulated_annealing #travelling_salesman_problem #tsp
You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself.
https://github.com/guofei9987/scikit-opt
You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself.
https://github.com/guofei9987/scikit-opt
GitHub
GitHub - guofei9987/scikit-opt: Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm…
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa...