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NumPy VS fd

Compare NumPy VS fd and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

fd logo fd

A simple, fast and user-friendly alternative to 'find'.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • fd Landing page
    Landing page //
    2023-08-18

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

fd videos

Discmania FD (Fairway Driver) Golf Disc Review

More videos:

  • Review - Honda Civic FD | Review & Tips If you want to own one
  • Review - Regular Car Reviews: 1993 Mazda RX-7 FD

Category Popularity

0-100% (relative to NumPy and fd)
Data Science And Machine Learning
Note Taking
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and fd

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

fd Reviews

We have no reviews of fd yet.
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Social recommendations and mentions

fd might be a bit more popular than NumPy. We know about 119 links to it since March 2021 and only 112 links to NumPy. 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.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
  • Documenting my pin collection with Segment Anything: Part 3
    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
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 28 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    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
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    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
View more

fd mentions (119)

  • Fzf advanced integration in Powershell
    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
  • Level Up Your Dev Workflow: Conquer Web Development with a Blazing Fast Neovim Setup (Part 1)
    Ripgrep: A super-fast file searcher. You can install it using your system's package manager (e.g., brew install ripgrep on macOS). Fd: Another blazing-fast file finder. Installation instructions can be found here: https://github.com/sharkdp/fd. - Source: dev.to / 4 months ago
  • Hyperfine: A command-line benchmarking tool
    Hyperfine is such a great tool that it's one of the first I reach for when doing any sort of benchmarking. I encourage anyone who's tried hyperfine and enjoyed it to also look at sharkdp's other utilities, they're all amazing in their own right with fd[1] being the one that perhaps get the most daily use for me and has totally replaced my use of find(1). [1]: - Source: Hacker News / 5 months ago
  • Z – Jump Around
    You call it with `n` and get an interactive fuzzy search for your directories. If you do `n https://github.com/sharkdp/fd. - Source: Hacker News / 6 months ago
  • Unix as IDE: Introduction (2012)
    Many (most?) of them have been overhauled with success. For find there is fd[1]. There's batcat, exa (ls), ripgrep, fzf, atuin (history), delta (diff) and many more. Most are both backwards compatible and fresh and friendly. Your hardwon muscle memory still of good use. But there's sane flags and defaults too. It's faster, more colorful (if you wish), better integration with another (e.g. exa/eza or aware of git... - Source: Hacker News / 6 months ago
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What are some alternatives?

When comparing NumPy and fd, you can also consider the following products

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

Bat - A cat(1) clone with wings.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

The Silver Searcher - A code searching tool similar to ack, with a focus on speed.