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iTerm2 VS Pandas

Compare iTerm2 VS Pandas and see what are their differences

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iTerm2 logo iTerm2

A terminal emulator for macOS that does amazing things.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • iTerm2 Landing page
    Landing page //
    2018-10-29
  • Pandas Landing page
    Landing page //
    2023-05-12

iTerm2 features and specs

  • Versatility
    iTerm2 supports a wide range of features such as split panes, multiple tab management, and hotkey-activated terminal windows, making it highly versatile for different workflows.
  • Customization
    Offers extensive customization options, including themes, color schemes, and key bindings, allowing users to tailor the terminal to their preferences.
  • Advanced Features
    Includes advanced functionality like instant replay, which allows users to rewind their terminal session, and integration with automation tools like AppleScript.
  • Performance
    Designed to be efficient and responsive, ensuring it performs well even with multiple sessions and tabs open simultaneously.
  • Integrations
    Seamless integration with macOS features such as native notifications, fullscreen mode, and support for external editors.
  • Community Support
    Active community and comprehensive documentation, which can be very helpful for troubleshooting and learning advanced configurations.

Possible disadvantages of iTerm2

  • Mac-Only
    iTerm2 is exclusive to macOS, which means users on other operating systems cannot utilize its features.
  • Complexity
    The sheer number of features and customization options can be overwhelming for beginners, requiring a learning curve to utilize efficiently.
  • System Resource Usage
    iTerm2 may consume more system resources compared to simpler terminal emulators, which could be a concern on lower-end hardware.
  • Update Frequency
    Occasional updates can introduce bugs or unexpected behavior, requiring users to adjust settings or find workarounds.

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.

iTerm2 videos

Customizing iterm2 with ZSH and PowerLevel9k | Z shell Tutorial

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 iTerm2 and Pandas)
SSH
100 100%
0% 0
Data Science And Machine Learning
Server Management
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 iTerm2 and Pandas

iTerm2 Reviews

  1. Useful

    I've had so many problems with terminal in my Mac.. thanks for this tool. It's like really useful

    👍 Pros:    Fast|Convenience|Fastest, safest, and cheapest
    👎 Cons:    None

MobaXterm for Mac: Best Alternatives to MobaXterm for Mac
You can choose a Hotkey and register it as a shortcut to open the iTerm2. When you are using other application, just press the Hotkey and it will bring iTerm (terminal) to the foreground of your screen. So the iTerm2 is the best alternative to MobaXterm for Mac which will be always available for you.
30 best PuTTY alternatives for SSH clients for 2020
The iTerm2 system is available for Macs. Specifically, the program can run on Mac OS 10.10 and higher. This interface shows different terminal sessions through a split screen method, allowing you to tile sessions side by side. To lessen confusion, the active panel shows in full resolution, while the others dimmed. You can set up keyboard shortcuts to navigate through the...

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 iTerm2. 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.

iTerm2 mentions (111)

  • Must-have apps and services in 2024
    iTerm + fish. I wrote a post explaining my environment settings. - Source: dev.to / 6 months ago
  • Unavoidable developer tools
    🍎 macOS: The default Terminal.app is widely used, but iTerm2 is often preferred for its rich feature set and customization options. - Source: dev.to / 7 months ago
  • Ask HN: How can I experiment with LLMs with a old machine?
    Make yourself comfortable with https://blogs.oracle.com/database/post/freedom-to-build-announcing-oracle-cloud-free-tier-with-new-always-free-services-and-always-free-oracle-autonomous-database https://gist.github.com/rssnyder/51e3cfedd730e7dd5f4a816143b25dbd https://www.reddit.com/r/oraclecloud/ or any other offer. Deploy some minimal Linux on them, or use what's offered. Plus optionally, if you don't want to... - Source: Hacker News / 8 months ago
  • Honukai Color Theme Goes IDE
    Honukai has long been my favorite iTerm, Oh My ZSH color theme, and I just assumed it existed for other use cases. But alas, I had to create them for myself. I adapted Oskar's work for Tabby terminal, ZED IDE and VS Code. You can get the files here. - Source: dev.to / 8 months ago
  • (Youtube blogpost) Building Tree Link app with Svelte and Tailwind CSS
    iTerm2 is a fast terminal emulator for macOS. Install one of Nerd Fonts for displaying fancy glyphs on your terminal. My current choice is Hack. And use it on your terminal app. For example, on iTerm2:. - Source: dev.to / 9 months ago
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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 / 8 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 / 24 days 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 / 27 days 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 / 3 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 / 8 months ago
View more

What are some alternatives?

When comparing iTerm2 and Pandas, you can also consider the following products

MobaXterm - Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools and much more

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

PuTTY - Popular free terminal application. Mostly used as an SSH client.

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

KiTTY - KiTTY is a fork from version 0.70 of PuTTY. It adds extra features to PuTTY.

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