Developers, system administrators, and technical users who work with code or configuration files and need an enhanced command-line tool that offers syntax highlighting and other advanced features. It is especially recommended for those using Git, as Bat provides seamless integration with Git repositories, displaying file changes and annotations effectively.
Based on our record, Bat should be more popular than Scikit-learn. It has been mentiond 110 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I page man (and many other things) through bat[0] which improves my experience. [0]: https://github.com/sharkdp/bat. - Source: Hacker News / about 2 months ago
My cat replacement (bat), shows the changed lines. - Source: dev.to / about 2 months ago
I also really like: https://github.com/eza-community/eza (modern ls replacement) https://github.com/BurntSushi/erd (modern tree replacement) https://github.com/sharkdp/bat (modern cat(1) replacement) my .zshrc for every system now uses these as drop in replacements. - Source: Hacker News / 3 months ago
Have you heard of the command-line tool bat, written in Rust? Bat is a command-line tool similar to cat that displays file contents in the terminal, but with additional features like line numbering, syntax highlighting, and paging. - Source: dev.to / 4 months ago
Perhaps interesting (for some) to note that hyperfine is from the same author as at least a few other "ne{w,xt} generation" command line tools (that could maybe be seen as part of "rewrite it in Rust", but I don't want to paint the author with a brush they disagree with!!): fd (find alternative; https://github.com/sharkdp/fd), and hexyl (hex viewer; - Source: Hacker News / 6 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 months ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
fd - A simple, fast and user-friendly alternative to 'find'.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
fzf - A command-line fuzzy finder written in Go
OpenCV - OpenCV is the world's biggest computer vision library
Starship (Shell Prompt) - Starship is the minimal, blazing fast, and extremely customizable prompt for any shell! Shows the information you need, while staying sleek and minimal. Quick installation available for Bash, Fish, ZSH, Ion, and Powershell.
NumPy - NumPy is the fundamental package for scientific computing with Python