Software Alternatives, Accelerators & Startups
Register | Login
LXY

NumPy VS Learn X in Y minutes

Compare NumPy VS Learn X in Y minutes and see what are their differences

RealityMAX
RealityMAX is the AI-powered 3D design collaboration platform, 100% online. Cooperate remotely with your colleagues on 3D projects and easily share your work with clients. Create Web3D and AR experiences in a snap, without a line of code. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Learn X in Y minutes logo Learn X in Y minutes

LearnXinYminutes isn’t a good way to learn your first programming language, but it’s a great way to...
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Learn X in Y minutes Landing page
    Landing page //
    2019-09-04

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.

Learn X in Y minutes features and specs

  • Concise Learning
    Learn X in Y minutes offers brief and straight-to-the-point introductions to programming languages and tools, making it ideal for quick learning.
  • Wide Range of Topics
    The platform covers a diverse array of programming languages and technologies, providing a useful resource for exploring new areas.
  • Code Examples
    Includes practical code snippets and examples, aiding in the comprehension and application of the presented material.
  • Community Contributions
    Open to community input and contributions, allowing for up-to-date and continuously expanding content.

Possible disadvantages of Learn X in Y minutes

  • Lack of Depth
    Due to the concise nature, the material often lacks depth and may not cover advanced topics thoroughly.
  • Limited Learning Style
    May not suit learners who prefer detailed explanations or a slower, more gradual educational approach.
  • Inconsistency in Quality
    Community contributions can lead to varying quality and consistency across different topics.
  • Minimal Visual Aids
    Primarily text-based with limited visual aids, which can be challenging for visual learners or complex concepts.

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

Learn X in Y minutes videos

No Learn X in Y minutes videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to NumPy and Learn X in Y minutes)

NumPy

Learn X in Y minutes

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

User comments

Share your experience with using NumPy and Learn X in Y minutes. 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 NumPy and Learn X in Y minutes

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

Learn X in Y minutes Reviews

We have no reviews of Learn X in Y minutes yet.
Be the first one to post

Social recommendations and mentions

Learn X in Y minutes might be a bit more popular than NumPy. We know about 149 links to it since March 2021 and only 119 links to NumPy. 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 / 3 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 / 7 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

Learn X in Y minutes mentions (149)

  • How would you start to learn coding today?
    I can't fathom it, but if I had to start over today, I'd: - Pick something I want to build - Pick the tools -- whatever's at the top of the latest SlackOverflow survey, though I'm not sure SO matters anymore - Peruse the https://learnxinyminutes.com link for the chosen tools - Use an LLM with good prompting to assist me in making what I decided. I'd use chat and hand type the code from the LLM and try to... - Source: Hacker News / 4 months ago
  • 100+ FREE Resources Every Web Developer Must Try
    . HTML Cheat Sheet: Quick reference guide for HTML elements and attributes. . CSS Cheat Sheet: Comprehensive guide to CSS properties and selectors. . JavaScript Cheat Sheet: Handy reference for JavaScript syntax and concepts. . Git Cheat Sheet: Essential commands and workflows for Git. . Markdown Cheat Sheet: Markdown syntax guide for creating rich text formatting. . React Cheat Sheet: Quick overview of React... - Source: dev.to / 10 months ago
  • Lua: The Modular Language You Already Know
    This is a small code example to get the basic idea. If you want a bit of a bigger file to play around yourself Or ever want to learn about a new language you can use LearnXinYMinutes which is a great starting point to learn any language you desire. - Source: dev.to / 11 months ago
  • Scripts should be written using the project main language
    > Sure, maybe for some esoteric edge cases, but 5 mins on https://learnxinyminutes.com/ should get you 80% of the way there, and an afternoon looking at big projects or guidelines/examples should you another 18% of the way. Not for C++, and even for other languages, it's not the language that's hard, it's the idioms. Python written by experts can be well-nigh incomprehensible (you can save typing out... - Source: Hacker News / about 1 year ago
  • Scripts should be written using the project main language
    > Learning a new language shouldn't be difficult. Programmers are expected to familiarize themselves with new tech. I wish any large company agreed with this. I've worked for a company that on boarded every single new engineer to a very niche language (F#) in a few days. Also, everybody I worked with there was amazing. Probably because of that kind of mindset. Meanwhile google tiptoes around teams adopting kotlin... - Source: Hacker News / about 1 year ago
View more

What are some alternatives?

When comparing NumPy and Learn X in Y minutes, 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.

Exercism - Download and solve practice problems in over 30 different languages.

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

DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more

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

OverAPI - Largest cheat sheet for programming languages and libraries

Loading...