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Scikit-learn VS iTerm2

Compare Scikit-learn VS iTerm2 and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

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

iTerm2 logo iTerm2

A terminal emulator for macOS that does amazing things.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • iTerm2 Landing page
    Landing page //
    2018-10-29

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.

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.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

iTerm2 videos

+ Add

Customizing iterm2 with ZSH and PowerLevel9k | Z shell Tutorial

Category Popularity

0-100% (relative to Scikit-learn and iTerm2)

Scikit-learn

iTerm2

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
SSH
0 0%
SSH
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Server Management
0 0%
Server Management
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 Scikit-learn and iTerm2

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

iTerm2 Reviews

  1. KateBlanc
    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.
Source: www.macoszon.com
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...
Source: www.comparitech.com

Social recommendations and mentions

Based on our record, iTerm2 should be more popular than Scikit-learn. It has been mentiond 111 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 / 3 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
View more

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
View more

What are some alternatives?

When comparing Scikit-learn and iTerm2, 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.

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

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

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

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

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

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