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Description
We have dedicated significant effort to ensure that ngx-bootstrap remains modular, allowing you to customize your templates, styles, and more. Each component is crafted with flexibility and adaptability in mind, ensuring seamless functionality on both mobile and desktop platforms without compromising performance. To promote code clarity and ease of maintenance, we have established comprehensive style guides and best practices. Our commitment to supporting the latest Angular versions is unwavering, and we ensure thorough unit-test coverage for all components. Being developers ourselves, we recognize how crucial it is to have reliable documentation, as well-structured and regularly updated guides greatly simplify the developer experience and enhance software quality. We strive to deliver the most comprehensive and user-friendly documentation available. Additionally, when dealing with visually rich libraries, it is essential to understand what you are implementing without the burden of complex installation processes. That’s why we have created an extensive array of demos showcasing the functionality of most component methods, allowing for quick and easy exploration. By doing so, we aim to empower developers to utilize our library with confidence and ease.
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.
API Access
Has API
API Access
Has API
Integrations
3LC
Angular
Avanzai
Bootstrap
Coiled
Cython
Dash
Flower
Gensim
JAX
Integrations
3LC
Angular
Avanzai
Bootstrap
Coiled
Cython
Dash
Flower
Gensim
JAX
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
Valor Software
Website
valor-software.com/ngx-bootstrap/
Vendor Details
Company Name
NumPy
Website
numpy.org