Software Alternatives, Accelerators & Startups

Udemy VS NumPy

Compare Udemy VS NumPy and see what are their differences

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.

Udemy logo Udemy

Online Courses - Learn Anything, On Your Schedule

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Udemy Landing page
    Landing page //
    2023-11-09
  • NumPy Landing page
    Landing page //
    2023-05-13

Udemy features and specs

  • Headquarters
    San Francisco, CA

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.

Udemy videos

Are Udemy Courses Worth It?

More videos:

  • Review - Udemy Scam! Watch Before You Make A Udemy Course
  • Review - Udemy Review 2018

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

Category Popularity

0-100% (relative to Udemy and NumPy)
Education
100 100%
0% 0
Data Science And Machine Learning
Online Learning
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Udemy and NumPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Udemy and NumPy

Udemy Reviews

10 Pluralsight Alternatives & Competitors (2024) – Our Picks
Udemy is probably one of the best online learning platforms today. With a large number of courses in every possible category (writing, design, management, app development, and so on) Udemy has millions of happy users. These online learning platforms present their content in more than 50 languages – making them one of the most diverse platforms to learn from.
8 best Teachable alternatives for course creators (Features & pricing)
Udemy benefits: After you upload your course content, selling on Udemy is largely hands-off. This can be an excellent option for instructors who want to earn passive income on their courses without running their own marketing. With over 40 million users, Udemy can make it easier to get your course in front of a large audience.
Source: www.podia.com
The Top Free and Paid Teachable Alternatives For Creators
Pricing: Udemy is free for course creators, but it charges sales commissions. Instructors receive 97% of any sales revenue earned from their own marketing activities, such as social media promotions. Udemy takes 63% of the sales revenue resulting from its promotion activities, like when a user clicks on a Udemy advertisement.
10 Best Treehouse Alternatives in 2024
Udemy is one of the best Treehouse alternatives for students and professionals. This online tutorial portal covers programming courses in almost all languages and applications. The courses are budget-friendly for beginners who are looking for new skill development.
Top 11 Coursera Alternatives 2024
Udemy is one of the top alternatives to Coursera, as it is a leading online learning platform with a strong selection of reasonably paid courses. It’s a great option for those who want to learn new skills or gain more training to hone their current skill set will find it useful. It provides classes in various subjects, including business, photography, computer science, cloud...
Source: freshlearn.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.
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, Udemy should be more popular than NumPy. It has been mentiond 264 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.

Udemy mentions (264)

  • AI and the Full Stack Developer in 2025
    Enroll in online courses, attend workshops, and participate in hackathons to stay updated on AI advancements. Platforms like Coursera, Udemy, and Kaggle offer excellent resources. - Source: dev.to / 4 months ago
  • Day 1: Introduction to Terraform and Infrastructure as Code (IaC)
    Exploring Infrastructure as Code (IaC) We also had a coupon code reducing the price of a course on Terraform on Udemy by Bryan Krausen and Gabe Maentz on Udemy, I gained insights into the core concepts of Infrastructure as Code. The key takeaway is that IaC helps in managing infrastructure through code instead of manual processes. This not only boosts efficiency but also enhances consistency, and reproducibility... - Source: dev.to / 6 months ago
  • 🏅 Valuable IT Certificates And How To Achieve Them 🏆
    Affordable Options: Udemy often runs sales, making their AWS courses available for under $20. Other affordable platforms include Tutorials Dojo and Whizlabs, which have practice exams and simulations for around $10-$30. - Source: dev.to / 6 months ago
  • Best Productivity Hacks for Developers
    There are multiple skills that will upscale your development journey and provide you with a better command of your role as a developer. Some of them are learning multiple programming languages, computer proficiency, problem-solving, adaptability, debugging, etc. To polish most of the skills, you can go for a decent certification program with which you will not only learn a skill but also get a certificate to... - Source: dev.to / 11 months ago
  • Bought my first laptop for my education after years of being homeless, hope I invested my money right.
    CS is computer science. Also check out edx.com It is hosted by Harvard and if you pay for the course which is very little you get a certificate from them. There is also groupings of courses were you can get a business certificate. Also check out udemy.com. Wait for the specials for $10-15. I have heard that google has certificates that are free but that businesses except. Just try stuff and even look at skills... Source: almost 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 / 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 / 8 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 / 9 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 / 9 months ago
View more

What are some alternatives?

When comparing Udemy and NumPy, you can also consider the following products

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

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

Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, we’ve taught over 45 million people using a tested curriculum and an interactive learning environment.

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

LinkedIn Learning - Online training through LinkedIn's professional network.

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