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SkillShare VS NumPy

Compare SkillShare VS NumPy and see what are their differences

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SkillShare logo SkillShare

Skillshare is a learning platform with online classes taught by the world's best practitioners.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • SkillShare Landing page
    Landing page //
    2023-06-13
  • NumPy Landing page
    Landing page //
    2023-05-13

SkillShare features and specs

  • Headquarters
    New York, NY

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 SkillShare

Overall verdict

  • Skillshare can be a valuable resource for individuals looking to pursue creative and entrepreneurial skills. However, since the platform relies on user-generated content, the quality of courses can vary, so it may be worthwhile to read reviews and sample courses before committing to a subscription.

Why this product is good

  • Skillshare is an online learning platform offering a wide range of courses primarily focused on creative skills, entrepreneurship, and personal development. It is known for its community-driven approach, where teachers are often industry professionals sharing their expertise through video lessons. The platform is beneficial for those looking to learn new skills at their own pace, as it offers courses on a flexible schedule. Additionally, the subscription model provides access to a vast library of courses for a relatively low cost compared to traditional education.

Recommended for

  • Creative professionals seeking to enhance their skills.
  • Entrepreneurs wanting to learn business fundamentals.
  • Hobbyists looking to explore new interests and crafts.
  • Individuals who prefer learning through short, practical videos.

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.

SkillShare videos

+ Add

NOT SPONSORED BY SKILL SHARE - Honest Review and Alternatives to Skillshare

More videos:

  • Review - Why SkillShare SUCKS! - Honest SkillShare Review - Response to @Nathaniel Drew "How I Learn Online"
  • Review - Skillshare Review: Learning For Creative Professionals

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 SkillShare and NumPy)

SkillShare

NumPy

Education
100 100%
Education
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Online Learning
100 100%
Online Learning
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 SkillShare and NumPy

SkillShare Reviews

10 Pluralsight Alternatives & Competitors (2024) – Our Picks
While there are many online learning platforms, such as Pluralsight, that help people from the tech field upskill in their working arena, sites such as Skillshare help in personal growth and creative achievements. The programs on this platform are creative, engaging, insightful, and ad-free. There are more than 40,000 courses on Skillshare, which are easy to learn and very...
Source: missiongraduatenm.org
10 Best Coursera Alternatives in 2024
Skillshare is one of the top Coursera alternatives, it is a platform that offe­rs classes in a variety of creative­ and practical skills, such as design, photography, and writing. The courses are­ taught by industry professionals and creatives.
Source: www.geeksforgeeks.org
14 Best Free and Paid Coursera Alternatives For Creators (2024)
Skillshare considered itself a learning community for creative people. Artists, hobbyists, and anyone with a curious interest in hands-on activities can learn from other people who have practiced their craft enough to create a course on it.
Source: www.thinkific.com
Top 57 Thinkific Alternatives: Best 7 & Other 50 Platforms
The biggest benefit of SkillShare is its popularity. Everyone knows about SkillShare, and when somebody is encouraged and eager to learn something new, the first place they go is Skillshare. This means that you potentially get higher visibility chances. That automatically will increase your chances of making higher profits.
Source: uteach.io
10 Best Kajabi Alternatives 2022
Udemy is similar to Skillshare in that it’s also a course marketplace. But, unlike Skillshare, there’s no membership fee for students. Instead, students pay for the classes that interest them. Like Skillshare, hosting courses on Udemy is free, but the platform will take a cut of your revenue.
Source: athemes.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 seems to be more popular. 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.

SkillShare mentions (0)

We have not tracked any mentions of SkillShare yet. Tracking of SkillShare recommendations started around Mar 2021.

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 SkillShare and NumPy, you can also consider the following products

Udemy - Online Courses - Learn Anything, On Your Schedule

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

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.

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

Coursera - Build skills with courses, certificates, and degrees online from world-class universities and companies

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

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