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NumPy VS Jenkins

Compare NumPy VS Jenkins and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Jenkins logo Jenkins

Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Jenkins Landing page
    Landing page //
    2023-04-15

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

Jenkins videos

+ Add

Mick Jenkins - The Circus Album Review | DEHH

More videos:

  • Review - Mick Jenkins - The Water[s] ALBUM REVIEW
  • Review - Mick Jenkins - THE WATERS First REACTION/REVIEW

Category Popularity

0-100% (relative to NumPy and Jenkins)

NumPy

Jenkins

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
DevOps Tools
0 0%
DevOps Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Continuous Integration
0 0%
Continuous Integration
100% 100

User comments

Share your experience with using NumPy and Jenkins. For example, how are they different and which one is better?
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Reviews

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

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

Jenkins Reviews

What Are The Best Alternatives To Ansible? | Attune, Jenkins &, etc.
Jenkin is a popular tool for performing continuous integration of software projects in the market. Plus, it continues the delivery of projects regardless of the platform you’re working on. And it is also responsible for handling any build or continuous integration with various testing and development technologies. As a product, Jenkins is more developer-centric and...
Source: www.apzomedia.com
Best 8 Ansible Alternatives & equivalent in 2022
Jenkins is an open-source continuous integration tool. It is written using the Java programming language. It facilitates real-time testing and reporting on isolated changes in a larger code base. This software similar to Ansible helps developers to quickly find and solve defects in their code base & automate testing of their builds.
Source: www.guru99.com
15 Best Jenkins Alternatives (Open Source & Paid) in 2021
Strider is an open source Jenkins alternative tool. Its written in Node.JS / JavaScript. It is one of the tools like Jenkins which uses MongoDB as a backing store. Hence, MongoDB and Node.js are essential for installing this CI. The tool offers supports for different plugins that modify the database schema & register HTTP routes.
Source: www.guru99.com
35+ Of The Best CI/CD Tools: Organized By Category
Spinnaker is an open-source continuous delivery tool. It can be used to deploy your applications across multiple cloud providers. It’s quite clear that Spinnaker was made with CI/CD pipelines in mind. You can automate system tests, manage your rollouts, and trigger pipelines through git events. Additionally, it’s compatible with CRON, Travis CI, Jenkins, and Docker.
Source: www.cloudzero.com
10 Jenkins Alternatives in 2021 for Developers
You’ve now had the opportunity to take a closer look at ten of the best Jenkins alternatives that are available on the market in 2021. Automation allows for software development to be more efficient and less stressful. These reputable resources can improve your workflow and make things easier than they ever have been in the past. Don’t be afraid to steer yourself away from...
Source: solutionsuggest.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Jenkins. While we know about 109 links to NumPy, we've tracked only 6 mentions of Jenkins. 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 (109)

  • 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 / about 24 hours 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 / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
View more

Jenkins mentions (6)

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What are some alternatives?

When comparing NumPy and Jenkins, 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.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.

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

Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.

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