Based on our record, fzf should be more popular than NumPy. It has been mentiond 218 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.
Very often when you start customizing your Vim or Neovim, you install a plugin allowing you to display the tree structure in your editor. It's nice, it allows you to have a view of the structure, but moving from one file to another is slow. So, very quickly, we turn to Fuzzy-finder. And there, generally, we come back to life and we no longer want to leave our publisher. - Source: dev.to / 13 days ago
Fzf plugs into almost every alias I have including shell history, which allows me to operate in the CLI using 1-5 keystrokes instead of typing out extremely long commands. Here's a good tutorial of using FZF. - Source: dev.to / 19 days ago
If you want to integrate fzf with rg, fd, bat to fuzzy find files, directories or ripgrep the content of a file and preview using bat, but the fzf document only has commands for Linux shell (bash,...), and you want to achieve that on your Windows Machine using Powershell, this post may be for you. - Source: dev.to / about 1 month ago
I have removed limit for bash history lines and file size and am using https://github.com/junegunn/fzf for reverse-search. - Source: Hacker News / 2 months ago
Those are the most used aliases in my gitconfig. "git fza" shows a list of modified/new files in an fzf window, and you can select each file with tab plus arrow keys. When you hit enter, those files are fed into "git add". Needs fzf: https://github.com/junegunn/fzf. - Source: Hacker News / 5 months ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 22 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 22 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 28 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 29 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months 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.
Bat - A cat(1) clone with wings.
OpenCV - OpenCV is the world's biggest computer vision library
fzy - A better fuzzy finder
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.