NumPy VS CircleCI

NumPy

NumPy is the fundamental package for scientific computing with Python

CircleCI

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

Landing page //
2023-05-13

Landing page //
2023-10-05

NumPy

Website: numpy.org
Pricing URL: -
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Release Date: -

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CircleCI

Website: circleci.com
Pricing URL: Official CircleCI Pricing
$ Details: -
Release Date: 2011 January
Startup details
Country: United States
State: California
City: San Francisco
Founder(s): Allen Rohner
Employees: 500 - 999

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NumPy videos

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Learn NUMPY in 5 minutes - BEST Python Library!

CircleCI videos

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CircleCI Part 1: Introduction to Unit Testing and Continuous Integration

Category Popularity

0-100% (relative to NumPy and CircleCI)

CircleCI

Data Science And Machine Learning

100 100%

Data Science And Machine Learning

0% 0

Continuous Integration

0 0%

Continuous Integration

100% 100

Data Science Tools

100 100%

Data Science Tools

0% 0

DevOps Tools

0 0%

DevOps Tools

100% 100

User comments

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

Reviews

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

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

CircleCI Reviews

35+ Of The Best CI/CD Tools: Organized By Category

CircleCI is a complete CI/CD pipeline tool. You can monitor the statuses of your various pipelines from your dashboard. Additionally, CircleCI helps you manage your build logs, access controls, and testing. It’s one of the most popular DevOps and CI/CD platforms in the world.

Source: www.cloudzero.com

10 Jenkins Alternatives in 2021 for Developers

CircleCI is generally recognized for its flexibility and compatibility. Customization is obviously an important factor when making the switch from Jenkins and CircleCI certainly takes an impressive swing at providing users with a solid collection of features.

Source: solutionsuggest.com

The Best Alternatives to Jenkins for Developers

CircleCI is a flexible tool with easy maintenance and can run in almost any environment. Every commit leads to automatic build execution. To add to it, if any new build is triggered, any queued or running build is automatically canceled.

Source: www.lambdatest.com

Continuous Integration. CircleCI vs Travis CI vs Jenkins

Now, when the process of continuous integration is clear (I hope so) we can move to the comparison of some of the most popular CI platforms nowadays. Each of those has its pros and cons. Let’s start with CircleCI.

Source: djangostars.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than CircleCI. It has been mentiond 109 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.

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 / 1 day 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

CircleCI mentions (66)

Effortless Code Conventions Review for Pull Request Changes
CI *(in our case that’s CircleCI) we run it for each *Pull Request. - Source: dev.to / 1 day ago
The simplest way to automate delivery of your React Native Application
In this article, we are going to provide simple and detailed step-by-step instruction on how to set up Continuous Delivery for your React Native Android application by using Fabric and CircleCI 2.0. - Source: dev.to / 3 days ago
How to secure Python Flask applications
In addition, Snyk can be easily integrated with various IDEs, including Visual Studio Code and PyCharm, as well as CI pipelines, such as Jenkins, CircleCI, and Maven, and workflows. - Source: dev.to / 17 days ago
Github Actions to deploy your Terraform code
Github Actions has many competitors in its category that allow you to run all kinds of code running on containers, such as Gitlab, Jenkins, CircleCI, etc. - Source: dev.to / 18 days ago
Automated delivery React / Vue app for each Pull Request.
It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / 25 days ago