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NumPy VS Coursera

Compare NumPy VS Coursera and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Coursera logo Coursera

Build skills with courses, certificates, and degrees online from world-class universities and companies
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Coursera Landing page
    Landing page //
    2023-09-12

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.

Coursera features and specs

  • Headquarters
    Mountain View, CA

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 Coursera

Overall verdict

  • Overall, Coursera is considered a good platform for online learning, particularly for those seeking accredited courses and meaningful credentials. However, the effectiveness of Coursera can depend on individual learning preferences, goals, and the specific course or program chosen.

Why this product is good

  • Coursera is widely recognized for its diverse range of online courses, specializations, and degree programs offered in partnership with top universities and organizations worldwide. It provides learners with flexible learning options, allowing them to access high-quality education resources from anywhere. The platform is known for its rigorous content, interactive learning experiences, and opportunities for certification, making it a valuable resource for both personal and professional development.

Recommended for

  • Individuals seeking to advance their careers through continuing education.
  • Learners interested in earning certifications from reputable institutions.
  • Students preferring a flexible learning schedule.
  • Professionals looking to update their skills or pivot to new fields.
  • Anyone eager to explore a variety of topics and gain knowledge from experienced instructors.

NumPy videos

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

Coursera videos

The Best Open Online Courses - Coursera, Udacity, edX Review

More videos:

  • Review - Review: My Experience with Coursera

Category Popularity

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Data Science And Machine Learning
Education
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Data Science Tools
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Online Learning
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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 Coursera

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.
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

Coursera Reviews

10 Pluralsight Alternatives & Competitors (2024) – Our Picks
The course structure and teaching plans are very well organized on Coursera. One can receive an actual degree from a college through an online medium of learning. The courses here are relevant for people looking to develop an industry-related skill – which is why it is the top competitor of Pluralsight. You can read our detailed Coursera review.
10 Best Treehouse Alternatives in 2024
Coursera is one of the most sought-after online platforms learners choose as Treehouse alternatives. This platform has collaborated with more than 325 prestigious institutions and companies. It offers both individual and team skill development programs.
Top 11 Coursera Alternatives 2024
Many Coursera alternatives offer features similar to or even better than Coursera at an affordable price. Each online learning platform comes with its own set of pros and cons and is suited differently for different needs. Here’s a list of our top Coursera alternatives we think you should check out
Source: freshlearn.com
10 Best Coursera Alternatives in 2024
Coursera Alternatives Free Courses: In recent years, online learning platforms have become incredibly popular, giving people worldwide easy access to various educational opportunities. Coursera has been one of the top choices when it comes to learners seeking high quality courses from respected institutions.
14 Best Free and Paid Coursera Alternatives For Creators (2024)
The main reason why Coursera alternatives are worth checking out is because one solution may not fit everyone. Even though Coursera has a great global presence and supports many niches, it still doesn’t meet a lot of learning and teaching needs. For example, microlearning is an up and coming trend that helps students take in knowledge at a faster speed. Coursera doesn’t...

Social recommendations and mentions

NumPy might be a bit more popular than Coursera. We know about 119 links to it since March 2021 and only 116 links to Coursera. 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 / 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

Coursera mentions (116)

  • Getting Started with Blockchain: A Guide for Beginners
    Great starting points include free online courses on platforms like Coursera or books like Mastering Bitcoin by Andreas Antonopoulos. - Source: dev.to / 5 months ago
  • Lost in life. Need to choose a career
    Anyway now go to coursera.org and for $49 a month get the Google IT Support Professional cert. That gives you a discount for the A+ exam. With a sob story Coursera may reduce the monthly fee as well. Anyway you are halfway to an IT degree and can be admitted to WGU. Source: over 1 year ago
  • Did Cousera get hacked today?
    Instead of homepage link opening to coursera.org it redirects to https://www.coursera.org/programs/american-dream-academy-jzjjt?currentTab=CATALOG. Source: almost 2 years ago
  • Found out my Professor for Fall 2023 Python Course is one of the worst reviewed professors at the school
    In terms of structure, consider following a book like Python for Everybody or Automate the Boring Stuff With Python. One of the hard parts of learning a language like python on your own is knowing what you should learn and the order you should learn it in--resources like these books or online courses you can find on Coursera are great for helping with that. Source: about 2 years ago
  • Online programming courses
    You can try searching something up on coursera.org or edx.org. Source: about 2 years ago
View more

What are some alternatives?

When comparing NumPy and Coursera, 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.

Udemy - Online Courses - Learn Anything, On Your Schedule

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

edX - Best Courses. Top Institutions. Learn anytime, anywhere.

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

Khan Academy - Khan Academy offers online tools to help students learn about a variety of important school subjects. Tools include videos, practice exercises, and materials for instructors. Read more about Khan Academy.