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Scikit-learn VS fish shell

Compare Scikit-learn VS fish shell and see what are their differences

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  3. » Reviews
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Scikit-learn logo Scikit-learn

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

fish shell logo fish shell

The friendly interactive shell.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • fish shell Landing page
    Landing page //
    2022-01-23

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

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.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

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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Scikit-learn

fish shell

Data Science And Machine Learning
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Data Science And Machine Learning
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Cryptocurrencies
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Cryptocurrencies
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Data Science Tools
100 100%
Data Science Tools
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Blockchain
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Blockchain
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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 Scikit-learn and fish shell

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

fish shell Reviews

We have no reviews of fish shell yet.
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Social recommendations and mentions

Based on our record, fish shell should be more popular than Scikit-learn. It has been mentiond 134 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.

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    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
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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 / 11 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    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
  • Link Prediction With node2vec in Physics Collaboration Network
    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
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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 Scikit-learn 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.

OpenCV - OpenCV is the world's biggest computer vision library

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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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