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Medium VS NumPy

Compare Medium VS NumPy and see what are their differences

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Medium logo Medium

Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Medium Landing page
    Landing page //
    2023-07-08
  • NumPy Landing page
    Landing page //
    2023-05-13

Medium features and specs

  • User-Friendly Interface
    Medium offers an easy-to-use interface that makes it simple for anyone to start writing and publishing content without any technical knowledge.
  • Built-in Audience
    The platform has a large and active user base, so new content has the potential to reach a wide audience quickly.
  • Publishing Tools
    Medium provides versatile publishing tools that support text, images, and various media formats, which helps in creating rich and engaging content.
  • SEO Benefits
    Articles posted on Medium tend to rank well in search engine results, thanks to the platform's high domain authority.
  • Community and Interaction
    Medium encourages reader engagement through comments, claps, and highlights, fostering a sense of community among writers and readers.

Possible disadvantages of Medium

  • Monetization
    While Medium has a Partner Program, it may not be as lucrative as other methods of monetization available on independent blogging platforms.
  • Control and Customization
    Medium offers limited customization options compared to dedicated blog platforms like WordPress, restricting how you can brand and personalize your blog.
  • Content Ownership
    By publishing on Medium, you agree to their terms and conditions, which may include giving up some control over how your content is used and distributed.
  • Paywall Issues
    Some articles are placed behind a paywall, which might limit the reach of your content if you want it to be freely accessible to everyone.
  • Dependency on Platform
    Relying solely on Medium means that any changes to the platform's policies or algorithms can directly impact your reach and engagement.

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.

Analysis of Medium

Overall verdict

  • Medium can be considered a good platform for those who enjoy a wide array of content and appreciate quality writing on diverse subjects. However, the value of Medium depends on individual preferences and whether the topics and writing styles align with what the reader is looking for.

Why this product is good

  • Medium offers a diverse range of articles from both professional and amateur writers, providing readers with numerous perspectives on various topics. Its clean user interface and ease of use make it an appealing platform for both writers and readers. The platform also supports monetization for writers, allowing them to earn from their content.

Recommended for

    Medium is recommended for avid readers seeking a variety of topics ranging from personal development to technology. It's also ideal for writers looking to publish their work to a broad audience and potentially earn revenue through the platform's Partner Program.

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.

Medium videos

+ Add

Medium Review - with Tom Vasel

More videos:

  • Review - Starting a blog on Medium.com? Watch this FIRST.
  • Review - The Medium Review
  • Review - The Medium - Before You Buy
  • Review - I recommend: The Medium (Review)

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

Category Popularity

0-100% (relative to Medium and NumPy)

Medium

NumPy

Blogging
100 100%
Blogging
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Blogging Platform
100 100%
Blogging Platform
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Medium and NumPy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Medium and NumPy

Medium Reviews

19 Best WordPress Alternatives in 2025
Medium focuses on thoughtful content and community engagement. It offers a user-friendly interface, a large readership base, and various features for writers and readers.
Source: www.pixpa.com
25+ Medium Alternative Platforms for Publishing Articles
Medium is an online platform that was created in 2012 by Evan Williams. It is a place for people to share their thoughts and ideas on various topics. Medium has about 100 million monthly visitors, which makes it one of the most popular platforms for publishing articles.
Source: forgefusion.io
10 Best Medium Alternatives for Reading and Publishing
From thе simplicity of Ghost to thе vеrsatility of Substack, thеrе’s a homе for еvеryonе seeking great Medium alternatives. Thеsе altеrnativеs offеr a world of possibilitiеs for rеadеrs and authors alikе. Whеthеr you’rе in sеarch of a uniquе platform to sharе your thoughts or want to read frеsh contеnt, thеsе platforms havе somеthing spеcial to offеr. All in all, we...
Source: www.geeksforgeeks.org
9 Best Medium Alternatives for Making Money With Your Writing in 2023
Substack and Medium differ primarily in their monetization methods. Medium pays creators based on reader engagement, while Substack enables writers to monetize directly through paid subscriptions to their newsletters. This business model allows Substack users to build a direct relationship with their readers via their email inboxes, whereas Medium interactions primarily...
Source: www.authorityhacker.com
How to Choose the Best Blogging Platform in 2021 (Compared)
Medium works much like a social networking site where you can create an account and start publishing your articles. After you sign up, you’ll have a profile address like this: https://medium.com/@yourname. But you cannot use your own domain.
Source: www.wpbeginner.com

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

Social recommendations and mentions

Based on our record, Medium seems to be a lot more popular than NumPy. While we know about 2607 links to Medium, we've tracked only 119 mentions of NumPy. 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.

Medium mentions (2607)

  • Apple's Liquid Glass UI marks the end of flat design
    Https://medium.com/@dahsmartgirl/apple-just-killed-flat-design-at-wwdc25-heres-what-it-means-for-ux-8a84cdf00234. - Source: Hacker News / 5 days ago
  • Show HN: ChatToSTL – AI text-to-CAD for 3D printing
    - Walkthrough + real prints (bowl, hook, box, door stop): https://medium.com/@nchourrout/vibe-modeling-turning-prompts-into-parametric-3d-prints-a63405d36824. - Source: Hacker News / 5 days ago
  • Kennedy guts CDC's vaccine panel of independent experts
    Https://medium.com/@jsteier_29203/all-childhood-vaccines-were-tested-against-placebos-heres-the-evidence-e90487c94624. - Source: Hacker News / 8 days ago
  • Reverse Engineering Boosted Board Remotes
    Those who still have boosted boards and have lost their remotes know that it can get crazy expensive to replace since YC company, Boosted Boards, is no longer around. Last year, I reverse engineered the pairing protocol with an ESP32 and open-sourced everything here: https://github.com/johnathanchiu/boosted-project. - Source: Hacker News / 8 days ago
  • The Illusion of Thinking: Understanding the Limitations of Reasoning LLMs [pdf]
    One of the best analysis I found is this blog by Vishal Misra https://medium.com/@vishalmisra/the-illusion-of-thinking-why-language-models-cant-improve-themselves-0c71a13811e2. - Source: Hacker News / 11 days ago
View more

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

What are some alternatives?

When comparing Medium and NumPy, you can also consider the following products

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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.

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

Tumblr - A feature rich and free blog hosting platform offering professional and fully customizable templates, bookmarklets, photos, mobile apps, and social network integration.

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

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