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Mathway VS NumPy

Compare Mathway VS NumPy and see what are their differences

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Mathway logo Mathway

Mathway is a freemium math solving app that helps you find the solutions to any math problem you can imagine.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Mathway Landing page
    Landing page //
    2021-09-20
  • NumPy Landing page
    Landing page //
    2023-05-13

Mathway features and specs

  • Ease of Use
    Mathway has an intuitive and user-friendly interface that allows users to input problems simply by typing or using the built-in camera feature to scan handwritten problems.
  • Wide Range of Topics
    It supports a comprehensive range of mathematical topics, including algebra, calculus, statistics, and more, making it useful for students at various educational levels.
  • Instant Solutions
    The platform provides instant answers to math problems, which can be very helpful for quick homework checks and understanding problem-solving steps.
  • Step-by-Step Explanations
    With a paid subscription, Mathway provides detailed step-by-step solutions, which are useful for learning and understanding the problem-solving process.
  • Accessibility
    Available as a web application, as well as on mobile devices through iOS and Android apps, providing flexibility and convenience for users.

Possible disadvantages of Mathway

  • Limited Features for Free Users
    Free users can only see the final answer but not the step-by-step solutions, limiting the platform's educational value without a subscription.
  • Subscription Cost
    Premium features, like step-by-step explanations, require a subscription fee, which might not be affordable for all students.
  • Dependency Risk
    There's a potential risk that students might become overly reliant on Mathway for answers, which could hinder their learning and problem-solving skills development.
  • Accuracy Issues
    While generally reliable, there can be occasional inaccuracies in solutions, especially for highly complex or uncommon problems.
  • Limited Interaction
    Unlike a tutor, Mathway doesn’t provide interactive explanations or adapt its teaching based on the user's understanding or questions.

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 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.

Mathway videos

+ Add

Mathway Review

More videos:

  • Review - FREE ALTERNATIVE TO MATHWAY.COM ✏️ (Free Mathway Premium)
  • Review - review of Mathway

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 Mathway and NumPy)

Mathway

NumPy

Education
100 100%
Education
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Knowledge Search
100 100%
Knowledge Search
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Mathway and NumPy

Mathway Reviews

  1. Guest
    Student-

    Hands down the best photo calculator out there. I can easily input whatever equation and get the answer. The premium subscription is genuinely very helpful and will break down problems step by step, especially if you need to show your work ;).

    🏁 Competitors: None
The 15 Best AI Tools to Solve Math Problems
Mathway: Mathway is a versatile math problem solver that covers a wide range of topics, including algebra, calculus, trigonometry, and statistics. Its AI algorithms can solve both numeric and symbolic expressions, providing instant solutions and detailed explanations.
Source: www.mathsolver.top
10 Of The Best Mathway Alternatives
Mathway might be the most popular online calculator platform out there, but it isn’t the only one. There are some great Mathway alternatives. This guide covered some of the best options, including tools like MathPapa, Quick Math, and Microsoft Math Solver in this piece.
Source: launchspace.net
Math Made Easy: Best Apps Like PhotoMath
Mathway is like the Swiss Army knife of math solver apps. It’s got a tool for everything. Algebra, calculus, statistics, you name it. It’s like having a math toolbox in your pocket.
Source: tms-outsource.com
6 Best Math Problem Solver Apps
Mathway is a problem solver app that includes advanced math calculators for algebra, graphing, and calculus. Simply type in your math problem or point the camera of your device and take a picture of it and the app instantly generates step by step solutions.
Source: www.educatorstechnology.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, NumPy should be more popular than Mathway. It has been mentiond 119 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.

Mathway mentions (18)

  • I hate math
    To everyone complaining that math is hard: https://mathway.com can help. Source: almost 2 years ago
  • why did bing ask google lol
    It didn't ask Google. Note the citation, mathway.com. Source: about 2 years ago
  • [Algebra I] Solving quadratic equation
    Apparently, the solutions of x2 + 3x - 4 = 0 are (1,-4) according to Udemy the tutorial I follow and mathway.com and even ChatGPT. So I assume this is the correct answer. Source: over 2 years ago
  • I have a radiance problem that should be easy.
    So I'm working on this problem and I was so sure it would be easy as it gets. T = 2π/ω = 2π/357. However, the book implies that's all I need to do. I tried doing it with radiance on my calculator and a decent online one mathway.com but I can't seem to figure out what I'm doing wrong. There has to be one thing I'm missing or don't understand and the book didn't say. Source: over 2 years ago
  • What subscriptions are actually 100% worth it?
    If your taking a college level math course mathway.com holy shit the greatest calculator ever invented and it shows work. Source: over 2 years 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 Mathway and NumPy, you can also consider the following products

Photomath - Photomath is a mobile app that will give you the ability to test your equations through a simple calculator interface that will fully explain the solution in a step-by-step fashion. Read more about Photomath.

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

Symbolab - Step by step calculator

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

WolframAlpha - WolframAlpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels.

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

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