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NumPy VS The Pudding

Compare NumPy VS The Pudding and see what are their differences

NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
The Pudding

A Weekly Journal of Visual Essays

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Rating
0 reviews
Alternatives Is it good?
Tabidoo
A simple way to keep all your data under control. Build your own business applications in just 4 minutes. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, NumPy seems to be a lot more popular than The Pudding. While we know about 122 links to NumPy, we've tracked only 5 mentions of The Pudding.

social mentions
122 vs 5
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
240+ vs 118

Base details

Website, pricing, platforms and company facts side by side.

NumPy
The Pudding
Website numpy.org pudding.cool
Pricing
Open source
—
Listed in
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1
Productivity Writing Tools Heatmaps Chat GPT +1

Features and specs

What each product offers, as listed by its team.

NumPy 5 features
The Pudding 0 features
  • 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

  • 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.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

NumPy
The Pudding

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.

Overall verdict

  • The Pudding is an excellent digital publication that stands out for its innovative approach to visual, data-driven journalism, making complex topics accessible and engaging through interactive storytelling.

Why this product is good

  • Produces high-quality visual essays that combine data analysis with compelling narratives
  • Covers a wide range of culturally relevant and thought-provoking topics, from music and film to language and society
  • Features interactive graphics and visualizations that let readers explore data themselves
  • Content is free to access and known for its rigorous research and creative presentation
  • Has earned industry recognition for pioneering the visual journalism format

Recommended for

  • Data visualization enthusiasts and designers looking for inspiration
  • Journalists and content creators interested in interactive storytelling
  • Curious readers who enjoy pop culture and society analyzed through data
  • Educators and students studying media, statistics, or communication
  • Anyone who appreciates thoughtful, engaging long-form digital content

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add
The Pudding 0 videos + Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos

  • - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

No The Pudding videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
NumPy
The Pudding
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Productivity
100% 100%
100% 100%
Data Science Tools
0% 0%
0% 0%
AI
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

NumPy no reviews yet
The Pudding no reviews yet

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We have no reviews of The Pudding yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

NumPy 122 mentions
The Pudding 5 mentions

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  • A faster way to calculate the day-of-the-week
    You should consider publishing some of your work at https://pudding.cool/ - I think it would fit in well there. - Source: Hacker News / about 1 month ago
  • How did the H1B visa become the 'Indian' visa
    Honestly in regards to data visualizations just look at others and copy them. For inspiration I heavily go to these two sites: https://pudding.cool/ https://www.datasketch.es/ One of the people behind data sketches recently came out with... - Source: Hacker News / 2 months ago
  • An SVG is all you need
    SVG has been transforming web-experiences (particularly for viz) for quite some time now, see: - https://mlu-explain.github.io/neural-networks/ - https://www.nytimes.com/spotlight/graphics - https://pudding.cool/. - Source: Hacker News / 9 months ago

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Alternatives to NumPy and The Pudding

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