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NumPy VS Jekyll

Compare NumPy VS Jekyll and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Jekyll logo Jekyll

Jekyll is a simple, blog aware, static site generator.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Jekyll Landing page
    Landing page //
    2023-01-17

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.

Jekyll features and specs

  • Speed and Performance
    Jekyll generates static websites, which means they load faster compared to dynamic websites. No database queries are required, reducing server overhead and improving performance.
  • Security
    Static sites have a smaller attack surface compared to dynamic sites because they don't rely on databases or server-side code. This means fewer vectors for potential compromises.
  • Simplicity
    Jekyll setups are relatively straightforward, especially if you are comfortable writing in Markdown and HTML. This can make it easier to manage and maintain your website.
  • Integration with GitHub Pages
    Jekyll is designed to work seamlessly with GitHub Pages, allowing you to host your website for free with automatic deployment directly from your GitHub repository.
  • Customizability
    Jekyll allows for extensive customization through its support for plugins, themes, and templates. This can be helpful to create a unique look and functionality for your website.

Possible disadvantages of Jekyll

  • Learning Curve
    While Jekyll is simpler than some other static site generators, it does require some familiarity with the command line, version control (Git), and YAML configuration.
  • Build Time
    For large websites, the build times can become lengthy, which can slow down the development process, especially if you are making frequent updates.
  • Lack of Real-time Content Updates
    Since Jekyll generates static sites, real-time content updates (e.g., comments, dynamic forms) aren't natively supported and require third-party services or additional tooling.
  • Dependence on Ruby
    Jekyll is built with Ruby, so you will need to have Ruby installed and occasionally deal with Ruby-specific issues. This might be a drawback for developers who are not familiar with the Ruby ecosystem.
  • Limited Built-in Functionality
    While Jekyll is very flexible, it doesn’t have built-in support for many features out of the box, which might require you to manually implement or rely on plugins.

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 Jekyll

Overall verdict

  • Jekyll is a good choice for individuals and organizations looking for a straightforward, reliable, and efficient way to build static websites. Its strengths include simplicity, flexibility, and strong community support, which contribute to a smooth development experience.

Why this product is good

  • Jekyll is a popular static site generator that is widely appreciated for its simplicity, speed, and ease of use. It is particularly suited for creating blogs and simple websites, leveraging Markdown and Liquid templates to generate static HTML content. Its integration with GitHub Pages also makes it a convenient choice for developers and non-developers alike who want to host their sites directly from their GitHub repositories without additional setup or cost.

Recommended for

  • Bloggers and content creators looking for a simple way to publish content online.
  • Developers who prefer writing in Markdown and managing content with a version control system.
  • Users who want to host their sites for free using GitHub Pages.
  • Anyone in need of a static site generator that is easy to set up, customize, and maintain with minimal resources.

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

Jekyll videos

+ Add

Getting Started With Jekyll, The Static Site Generator

Category Popularity

0-100% (relative to NumPy and Jekyll)

NumPy

Jekyll

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
CMS
0 0%
CMS
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Blogging
0 0%
Blogging
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 Jekyll

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

Jekyll Reviews

Best Gitbook Alternatives You Need to Try in 2023
Jekyll is a static site generator often used to create blogs and websites, similar to Gitbook in its ability to generate documentation from markdown files. Jekyll is built in Ruby and is known for its flexibility and ease of use. It also has a large community and a wide variety of plugins and themes available. Jekyll's main advantage is that it is highly customizable,...
Source: www.archbee.com
11 Popular Free And Open Source WordPress CMS alternatives in 2021
Unlike some listed alternatives, Jekyll is also a static site generator so it lays in the same category. It uses Ruby and we would say it's simpler, free, and open-source CMS software.
Source: medevel.com
10 static site generators to watch in 2021
Perhaps most conveniently described as Jekyll implemented with JavaScript rather than Ruby, Eleventy has now moved beyond that while retaining a clear and simple on-ramp, and only shipping to the browser what you tell it too. As with Jekyll and Hugo, no JavaScript frameworks are auto-baked in.
Source: www.netlify.com
Hugo vs Jekyll: an Epic Battle of Static Site Generator Themes
Jekyll isn’t strict with its content location. It expects pages in the root of your site, and will build whatever’s there. Here’s how you might organize these pages in your Jekyll site root:
Source: www.freecodecamp.org
9 Reasons I Think Craft is the Best CMS on the Market Today
Craft CMS is simple, minimalistic, agile and has every capability a modern CMS framework needs. Over the past ten years we have worked with every CMS you could think of (Wordpress, Drupal, Rails+ActiveAdmin, Ghost, Weebly, DjangoCMS, Jekyll, Joomla, Tumblr, Squarespace, Expression Engine, Statamic, Blogger)… here are the reasons why we’ve landed firmly with Craft as our №1...
Source: hackernoon.com

Social recommendations and mentions

Based on our record, Jekyll should be more popular than NumPy. It has been mentiond 195 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.

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 / 5 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 / 9 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 / 9 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 / 10 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 / 10 months ago
View more

Jekyll mentions (195)

  • Building PicoSSG: 'Just Enough Code'
    The static site generator (SSG) landscape is crowded with feature-rich but increasingly complex solutions. As I looked at and used tools like lume, 11ty, lektor, or jekyll, I found myself drowning in configuration options, plugins, and middleware. What started as a simple desire to convert Markdown content into HTML had evolved into learning complex frameworks with steep learning curves. - Source: dev.to / about 1 month ago
  • How to create a blog with Quartz, GitHub, and Cloudflare
    If you don't want to use Jekyll as your static site generator for GitHub Pages and you want to have a custom domain for your GitHub Pages. This post is for you! - Source: dev.to / 4 months ago
  • Blogging with Obsidian and Jekyll
    Jekyll is a static site generator that transforms Markdown files into a fully functional website. Everything is generated into plain HTML, which makes it simple to deploy on platforms like GitHub Pages. - Source: dev.to / 4 months ago
  • Create a Blogging Platform With No Backend (Zero Hosting Fee)
    Obviously, there are a dozen choices for generating static websites (efficiently and quickly), from the classic Jekyll to the new Next.js. And you are good to go with any of them as long as your confident with it. I choose 11ty because:. - Source: dev.to / 5 months ago
  • It's easy to dev blog
    In your repository settings you need to turn on GitHub Pages to make it pull Jekyll content (that's the magic✨ default GitHub Pages build tool) from your GitHub repository. - Source: dev.to / 11 months ago
View more

What are some alternatives?

When comparing NumPy and Jekyll, 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.

Hugo - Hugo is a general-purpose website framework for generating static web pages.

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

Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.

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

WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.

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