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NumPy VS runc

Compare NumPy VS runc and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

runc logo runc

CLI tool for spawning and running containers according to the OCI specification - opencontainers/runc
  • NumPy Landing page
    Landing page //
    2023-05-13
  • runc Landing page
    Landing page //
    2023-08-21

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

runc videos

2/21/19 RunC Vulnerability Gives Root Access on Container Systems| AT&T ThreatTraq

More videos:

  • Review - Demo MONEY,TIME - RunC

Category Popularity

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Data Science And Machine Learning
Web Servers
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100% 100
Data Science Tools
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Web And Application Servers

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 runc

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

runc Reviews

We have no reviews of runc yet.
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Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than runc. While we know about 112 links to NumPy, we've tracked only 8 mentions of runc. 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 (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 16 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 16 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 21 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 23 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
View more

runc mentions (8)

  • US Cybersecurity: The Urgent Need for Memory Safety in Software Products
    It's interesting that, in light of things like this, you still see large software companies adding support for new components written in non-memory safe languages (e.g. C) As an example Red Hat OpenShift added support for crun(https://github.com/containers/crun), which is written in C as an alternative to runc, which is written in Go( - Source: Hacker News / 9 months ago
  • Why did the Krustlet project die?
    Yeah, runtimeClass lets you specify which CRI plugin you want based on what you have available. Here's an example from the containerd documentation - you could have one node that can run containers under standard runc, gvisor, kata containers, or WASM. Without runtimeClass, you'd need either some form of custom solution or four differently configured nodes to run those different runtimes. That's how krustlet did... Source: over 1 year ago
  • Why use Docker in 2022?
    Your Docker Container can only run Linux. That's because Docker takes advantage of runC which uses the Linux kernel. You can't run Windows inside of Docker. But of course you can run Docker on a Windows host machine. If you are running a .NET project, you won't be able to use Docker. On the other hand, if you're running .NET Core then you're in luck! - Source: dev.to / almost 2 years ago
  • Containers without Docker (podman, buildah, and skopeo)
    This is what Podman, an open-source daemonless and rootless container engine, was developed with in mind. Podman runs using the runC container runtime process, directly on the Linux kernel, and launches containers and pods as child processes. In addition, it was developed for the Docker developer, with most commands and syntax seamlessly mirroring Docker's. Buildah, an image builder, and Skopeo, the image utility... - Source: dev.to / almost 2 years ago
  • Learn Docker - from the beginning, part I images and containers
    If you are curious about how exactly Docker does this I urge to have a look at the following links on layered file system and the library runc and also this great wikipedia overview of Docker. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing NumPy and runc, 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.

Docker Hub - Docker Hub is a cloud-based registry service

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

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

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

Apache Thrift - An interface definition language and communication protocol for creating cross-language services.