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NumPy VS fish shell

Compare NumPy VS fish shell and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

fish shell logo fish shell

The friendly interactive shell.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • fish shell Landing page
    Landing page //
    2022-01-23

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

fish shell features and specs

  • User-Friendly Syntax
    Fish shell features a more readable and user-friendly syntax compared to traditional shells like Bash or Zsh, making it easier for new users to learn and use.
  • Modern Features
    Fish shell includes out-of-the-box support for modern shell features such as syntax highlighting, autosuggestions, and smart command-line completions, greatly enhancing the user experience.
  • Web-Based Configuration
    Users can configure Fish shell through a web interface, making it more accessible and easier to customize compared to other shells that require manual configuration file edits.
  • Consistent Scripting
    Fish shell uses a consistent scripting language, which reduces the quirks and peculiarities often found in other shell scripting languages.

Possible disadvantages of fish shell

  • Compatibility Issues
    Fish shell is not POSIX compliant, which means scripts written in Fish will not be compatible with other POSIX-compliant shells like Bash or Zsh, potentially causing issues in environments that rely on such standards.
  • Smaller Ecosystem
    Compared to shells like Bash and Zsh, Fish has a smaller ecosystem of plugins, themes, and community support, which could limit available resources and tools.
  • Learning Curve for Experienced Users
    Experienced users of traditional shells like Bash or Zsh might find Fish's different syntax and features take some time to adapt to, potentially reducing initial productivity.
  • Limited Script Portability
    Scripts written in Fish shell are often not portable to other shell environments without significant modification, reducing their usability in multi-shell setups.

NumPy videos

+ Add

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

fish shell videos

+ Add

this tank is not overstocked | Fish Tank Review Ep. 1

More videos:

  • Review - Can Female Bettas Live In A Bowl Together? | Fish Tank Review 36
  • Review - Ryan's First Time Catching Fish for Dinner!!!

Category Popularity

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NumPy

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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 fish shell

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.
Source: www.analyticsvidhya.com
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

fish shell Reviews

We have no reviews of fish shell yet.
Be the first one to post

Social recommendations and mentions

fish shell might be a bit more popular than NumPy. We know about 134 links to it since March 2021 and only 119 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 (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

fish shell mentions (134)

  • A short tutorial on using fish shell.
    Follow this to install. Note that this tutorial assume that you are on Linux. - Source: dev.to / 27 days ago
  • Tools for 2025
    I've probably been using fish shell [0] for close to 10 years now. When I need POSIX compliance or if I need to run a one-off bash command, I just call bash. It's exceedingly rare. Browsing through the documentation for Oils, it seems to be organized in a way that's very confusing. When you open the fish shell website it was two clear buttons for Tutorial and Documentation. [0] https://fishshell.com/. - Source: Hacker News / 4 months ago
  • TIL: Ghostty — a new and quite promising terminal emulator
    I remember that Julia Evans, whose blog I follow, mentioned a few time that she uses Fish. Also, some days ago I came across this post about Fish rewrite to Rust from C++, which sounds like a cool thing to do. However, I tried it some time ago, and while pretty neat, I wasn't convinced to switch to it completely. - Source: dev.to / 4 months ago
  • Easy development environments with Nix and Nix flakes!
    The default shell in the above flake adds Valkey, NodeJS 22, the PNPM package manager, and the fish shell to the environment. It also starts Valkey in the background through a shell hook, passing it a custom config (declared via Nix!) and runs fish so we're dropped in the fish shell instead of our login shell. - Source: dev.to / 4 months ago
  • A new shell for using modern Unix commands
    I’m testing a new shell called fish, and I’m enjoying some features that truly make it a friendly interactive shell. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing NumPy and fish shell, 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.

zsh - The Z shell (Zsh) is a Unix shell that can be used as an interactive login shell and as a powerful command interpreter for shell scripting.

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

GNU Bourne Again SHell - Bash is the shell, or command language interpreter, that will appear in the GNU operating system.

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.

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