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fish shell VS Pandas

Compare fish shell VS Pandas and see what are their differences

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fish shell logo fish shell

The friendly interactive shell.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • fish shell Landing page
    Landing page //
    2022-01-23
  • Pandas Landing page
    Landing page //
    2023-05-12

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.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

fish shell videos

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!!!

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to fish shell and Pandas)
Cryptocurrencies
100 100%
0% 0
Data Science And Machine Learning
Blockchain
100 100%
0% 0
Data Science Tools
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 fish shell and Pandas

fish shell Reviews

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Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas should be more popular than fish shell. It has been mentiond 219 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.

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 / 28 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

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 24 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 1 month ago
  • 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
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing fish shell and Pandas, you can also consider the following products

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.

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

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

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

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.

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