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Busuu VS NumPy

Compare Busuu VS NumPy and see what are their differences

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Busuu logo Busuu

Join the global language learning community, take language courses to practice reading, writing, listening and speaking and learn a new language. Learn English with busuu's .

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Busuu Landing page
    Landing page //
    2023-09-19
  • NumPy Landing page
    Landing page //
    2023-05-13

Busuu features and specs

  • Community-Based Learning
    Busuu allows users to interact with native speakers and other learners, providing real-world practice and feedback through its global community.
  • Offline Mode
    Users can download lessons to use offline, making it easier to study on the go without requiring a constant internet connection.
  • Structured Courses
    Busuu offers well-structured courses that cater to different proficiency levels, from beginner to advanced, allowing for clear progression.
  • Grammar and Vocabulary Features
    The platform includes comprehensive grammar exercises and interactive vocabulary drills to reinforce language skills effectively.
  • Certification
    Users can take a test to receive official McGraw-Hill Education certificates, which can be a motivating factor and an asset for job applications.

Possible disadvantages of Busuu

  • Limited Free Content
    The free version has limited features and lessons, pushing users towards purchasing a premium subscription for full access.
  • Language Selection
    While Busuu offers multiple languages, its selection is not as extensive as some of its competitors, which may be limiting for some users.
  • Repetitive Exercises
    Some users find the exercises to be repetitive, which can lead to boredom and reduced engagement over time.
  • Speaking Practice Restrictions
    Speaking practice sessions are somewhat limited without a premium subscription, which can hinder conversational skill development.
  • Community Feedback Quality
    The quality of feedback from the community can be inconsistent, as it depends on the proficiency of other users rather than professional educators.

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 Busuu

Overall verdict

  • Busuu is generally well-regarded for its user-friendly interface, effective course structure, and community interaction, making it a good option for language learners. However, its effectiveness can vary depending on the language and personal learning style, so it may work best as a supplementary resource.

Why this product is good

  • Busuu is a popular language learning platform known for its interactive and comprehensive approach. It offers a wide range of languages, exercises to enhance listening, speaking, reading, and writing skills, and a community feature that allows learners to practice with native speakers. Additionally, its structure and courses are aligned with CEFR language levels, which can provide learners with a clear progression path.

Recommended for

  • Beginners and intermediate learners looking for structured courses.
  • Individuals who benefit from social interaction and peer feedback.
  • Learners seeking a mobile-friendly option with offline capabilities.

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.

Busuu videos

+ Add

BETTER THAN DUOLINGO - Busuu Easy Language Learning App Review

More videos:

  • Review - I tried the Busuu language learning app | 12 languages in 1 app [review]
  • Review - Busuu Review - Learn a new language.

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 Busuu and NumPy)

Busuu

NumPy

Education
100 100%
Education
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Language Learning
100 100%
Language Learning
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Busuu 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 Busuu and NumPy

Busuu Reviews

Best Memrise Alternatives (February 2025) – UPDATED
Busuu caters to beginners and intermediates the lessons are quite short and have word recognition, fill-in-the-blanks, and videos to keep the learner engaged.
Source: lingoly.io
15 Language Learning Apps Compared - Personally Tested
A language course was designed to combine language learning with the opportunity to interact in a virtual community. This language learning application incorporates the principles of Web 2.0 and tandem learning. The project is now growing beyond Busuu.
Source: www.krioda.com
Apps Similar To Duolingo: Best Language Learning Alternatives
Busuu is a social app that lets you practice with native speakers. It helps you improve your speaking skills and learn about different cultures. This approach makes learning a language more fun and interactive.
Source: duolingoguides.com
10 Best Babbel Alternatives in 2024
Busuu hosts robust language learning courses that blend grammar exercises, flashcards, and casual conversations. It organizes all lessons into chapters and matches you with a native speaker of the language you are learning.
Source: www.geeksforgeeks.org
14 Best Duolingo Alternatives to Learn New Languages
But if you’re a serious learner who wants to start with the basics and then move on to advanced levels (something Duolingo falls short on), Busuu is well worth it. What makes this a great Duolingo alternative is that the lessons are still bite-sized but well-structured.
Source: learnlanguagesfromhome.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 Busuu. 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.

Busuu mentions (14)

  • What is the best and easiest way to learn Dutch
    Give https://busuu.com/ a go, I think it does a much better way of explaining words and grammar than Duolingo. Good luck! Source: over 2 years ago
  • Similar website as Lengalia for Italian?
    When I was starting out I used a subscription to Busuu and thought it was pretty good. They had listening exercises, vocab exercises, grammar/conjugation, and test exams. There's also a community feature where native speakers can correct some of the exercises you do (and vice versa). Source: over 2 years ago
  • 30F Looking for a language partner to practice basic French. I can help with Portuguese (BR)
    I have been studying French for a few years (I still don't feel I would be very beneficial to you unfortunately, however) and a good place to look for language partners that I have found is busuu.com . A big section of it is connection to others learning your native language that speak your learning language. Just fyi if you want that info. (: Good luck!! Source: almost 3 years ago
  • Duolingo is overrated
    Then I've tried Busuu premium, which is considerably better than Duolingo - at the very least tries to teach you grammar, and the video contents are really well produced. For an absolute beginner it is great! Source: almost 3 years ago
  • article question
    I learn english at busuu.com. One of my lessons contain phrase "i had dinner" and also "i had pizza". I am confused. Dinner and pizza it is countable nouns. Should I use "a" article? Source: almost 3 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 / 4 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 / 8 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 Busuu and NumPy, you can also consider the following products

Duolingo - Duolingo is a free language learning app for iOS, Windows and Android devices. The app makes learning a new language fun by breaking learning into small lessons where you can earn points and move up through the levels. Read more about Duolingo.

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

Memrise - Learn a new language with games, humorous chatbots and over 30,000 native speaker videos.

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

Babbel - Babbel is a paid language learning service that aims to strike a balance between thoroughness and cost efficiency.

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

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