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NumPy VS GNU Emacs

Compare NumPy VS GNU Emacs and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

GNU Emacs logo GNU Emacs

GNU Emacs is an extensible, customizable text editorโ€”and more.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • GNU Emacs Landing page
    Landing page //
    2023-01-19

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.

GNU Emacs features and specs

  • Highly Extensible
    GNU Emacs is highly customizable, allowing users to configure nearly every aspect using Emacs Lisp. This makes it remarkably adaptable for various workflows.
  • Rich Plugin Ecosystem
    There is a wide array of plugins available for Emacs, extending its functionality for programming, text editing, project management, and more.
  • Versatile
    Aside from text editing, Emacs can function as an email client, web browser, terminal emulator, and more, making it a powerful multi-purpose tool.
  • Free and Open Source
    GNU Emacs is free to use and modify, with source code available under the GNU General Public License, encouraging collaborative improvement and transparency.
  • Cross-Platform Support
    Emacs runs on many different operating systems, including Windows, macOS, and various Unix-like systems, ensuring a wide reach and consistent experience across platforms.

Possible disadvantages of GNU Emacs

  • Steep Learning Curve
    Due to its vast array of features and unique keybindings, new users often find Emacs difficult to learn initially.
  • Performance
    Emacs can be slower compared to more lightweight text editors, especially when heavily customized or handling large files.
  • Keyboard-Centric Interface
    Emacs relies heavily on keyboard shortcuts, which can be overwhelming and complex, leading to potential finger strain from extensive use.
  • Complex Configuration
    While its customizability is a strength, configuring Emacs to fit personal needs can be time-consuming and complex, requiring knowledge of Emacs Lisp.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Analysis of GNU Emacs

Overall verdict

  • GNU Emacs is widely considered to be a powerful and versatile text editor, especially among programmers and developers.

Why this product is good

  • Highly Customizable: Emacs can be extensively customized with Emacs Lisp, enabling users to tailor the editor to fit their specific workflow.
  • Rich Ecosystem: There is a large variety of plug-ins and extensions available, which can transform it into much more than just a text editor.
  • Built-in Tools: Emacs includes numerous built-in tools such as a debugger, calendar, email client, and file manager, making it a comprehensive development environment.
  • Cross-Platform: Emacs runs on multiple platforms, which makes it accessible to a broad audience.

Recommended for

  • Programmers and developers who appreciate a customizable and extensible tool.
  • Users who want to integrate various development tools into a single environment.
  • Individuals comfortable with learning Emacs Lisp to create and understand custom scripts and configurations.
  • People interested in a text editor that has a strong and supportive community.

NumPy videos

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

GNU Emacs videos

Switching to GNU Emacs

Category Popularity

0-100% (relative to NumPy and GNU Emacs)
Data Science And Machine Learning
Text Editors
0 0%
100% 100
Data Science Tools
100 100%
0% 0
IDE
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 NumPy and GNU Emacs

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.
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

GNU Emacs Reviews

14 BEST LaTeX Editor for Mac & Windows in 2022
Emacs is a Unix based text editor tool which is used by programmers, engineers, students, and system administrators. It is one of the best LaTeX editor for Mac that allows you to add, modify, delete, insert, words, letters, lines, and other units of text.
Source: www.guru99.com
The Top 7 Notepad++ Alternatives for You
Emacs has been around in its various forms since 1976 and is another very worthy Notepad++ alternative. When I first started using Emacs I have to admit that I didnโ€™t find it the easiest to use. But once I got used to it I realized just how powerful Emacs is for the programming community.
10 Best Notepad++ Alternatives in 2020
Emacs is a Unix based text editor tool which is used by programmers, engineers, students, and system administrators. It allows you to add, modify, delete, insert, words, letters, lines, and other units of text.
Source: www.guru99.com
7 open source alternatives to Dreamweaver
Vim or Emacs. Without participating in the holy war between these two traditional text editors, I can safely say that there are a number of enhancements for web editing available for both. So if you're already a terminal junkie, take your pick. Or, if those don't satisfy, try one of these Emacs/Vim alternatives.
Source: opensource.com
10 Best Sublime Text Alternatives in 2019
Emacs is a Unix based text editor tool which is used by programmers, engineers, students, and system administrators. It allows you to add, modify, delete, insert, words, letters, lines, and other units of text.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than GNU Emacs. While we know about 122 links to NumPy, we've tracked only 6 mentions of GNU Emacs. 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 (122)

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GNU Emacs mentions (6)

  • Emacs daemon as sytemd service in debian 12 (gnome)
    Cat .config/systemd/user/default.target.wants/emacs.service [Unit] Description=Emacs text editor Documentation=info:emacs man:emacs(1) https://gnu.org/software/emacs/ [Service] Type=notify ExecStart=/usr/local/bin/emacs --fg-daemon # Emacs will exit with status 15 after having received SIGTERM, which # is the default "KillSignal" value systemd uses to stop services. SuccessExitStatus=15 # The location of the... Source: about 3 years ago
  • Why does emacs exec path variable not just copy the users path variable?
    ## If your Emacs is installed in a non-standard location, you may need ## to copy this file to a standard directory, eg ~/.config/systemd/user/ . ## If you install this file by hand, change the "Exec" lines below ## to use absolute file names for the executables. [Unit] Description=Emacs text editor Documentation=info:emacs man:emacs(1)... Source: over 3 years ago
  • Hi DM's, what medium do you use to organise your campaign?
    For gathering notes, writing and organizing, Org-Roam which implies Org and Emacs. Source: over 3 years ago
  • This Guy is getting out of control at this point.
    I was heading to gnu.org/software/emacs to prove my point and it said:. Source: over 4 years ago
  • opam doesn't see emacs?
    <><> Version-specific details <><><><><><><><><><><><><><><><><><><><><><><> ๐Ÿซ Version 1 Repository default Homepage: "http://gnu.org/software/emacs" Bug-reports: "https://github.com/ocaml/opam-repository/issues" Authors: "anil@recoil.org" Maintainer: "anil@recoil.org" License: "GPL-1.0-or-later" Flags: conf Synopsis Virtual package to install the Emacs editor Description This... Source: over 4 years ago
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What are some alternatives?

When comparing NumPy and GNU Emacs, 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.

VS Code - Build and debug modern web and cloud applications, by Microsoft

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

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

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

Vim - Highly configurable text editor built to enable efficient text editing