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NumPy VS iTerm2

Compare NumPy VS iTerm2 and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

iTerm2 logo iTerm2

A terminal emulator for macOS that does amazing things.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • iTerm2 Landing page
    Landing page //
    2018-10-29

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.

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.

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

iTerm2 videos

+ Add

Customizing iterm2 with ZSH and PowerLevel9k | Z shell Tutorial

Category Popularity

0-100% (relative to NumPy and iTerm2)

NumPy

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 NumPy and iTerm2

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

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

NumPy might be a bit more popular than iTerm2. We know about 119 links to it since March 2021 and only 111 links to iTerm2. 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 / 3 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 / 7 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

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 NumPy 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

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

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

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

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

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