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Description

Fast and adaptable, the concepts of vectorization, indexing, and broadcasting in NumPy have become the benchmark for array computation in the present day. This powerful library provides an extensive array of mathematical functions, random number generators, linear algebra capabilities, Fourier transforms, and beyond. NumPy is compatible with a diverse array of hardware and computing environments, seamlessly integrating with distributed systems, GPU libraries, and sparse array frameworks. At its core, NumPy is built upon highly optimized C code, which allows users to experience the speed associated with compiled languages while enjoying the flexibility inherent to Python. The high-level syntax of NumPy makes it user-friendly and efficient for programmers across various backgrounds and skill levels. By combining the computational efficiency of languages like C and Fortran with the accessibility of Python, NumPy simplifies complex tasks, resulting in clear and elegant solutions. Ultimately, this library empowers users to tackle a wide range of numerical problems with confidence and ease.

Description

Selenium WebDriver operates a web browser in a manner akin to a real user, either on local devices or via remote servers. It offers a straightforward and streamlined programming interface designed for simplicity. With minimal configuration, WebDriver can seamlessly work with all leading web browsers. You can automate interactions in popular browsers like Firefox, Safari, Edge, Chrome, Internet Explorer, and others! The term Selenium WebDriver encompasses both the language bindings as well as the various implementations that facilitate browser control. This is often simply called WebDriver. The World Wide Web Consortium (W3C) is a global group focused on establishing web standards. In June 2018, WebDriver was officially recognized as a W3C recommendation. Key browser developers, including Mozilla, Google, Apple, and Microsoft, actively support WebDriver, continually enhancing both their browsers and the controlling code, which results in more consistent behavior across different platforms. This consistency ultimately contributes to the reliability of your automation scripts, allowing for a smoother testing experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Avo Assist
Azure Marketplace
Coiled
Databay
Digital.ai Continuous Testing
HtmlUnit
IQM Studio
JAX
Katalon Recorder
LambdaTest
LoadView
Nightwatch.js
PaizaCloud
Perfecto
PyCharm
Selenium
Train in Data
WebLOAD
Yamak.ai
imageio

Integrations

Avo Assist
Azure Marketplace
Coiled
Databay
Digital.ai Continuous Testing
HtmlUnit
IQM Studio
JAX
Katalon Recorder
LambdaTest
LoadView
Nightwatch.js
PaizaCloud
Perfecto
PyCharm
Selenium
Train in Data
WebLOAD
Yamak.ai
imageio

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NumPy

Website

numpy.org

Vendor Details

Company Name

Selenium

Website

www.selenium.dev/projects/

Product Features

Product Features

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Alternatives

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Alternatives

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Daniel Hollingsworth