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Description
JSON, which stands for JavaScript Object Notation, serves as a compact format for data exchange. Its simplicity makes it accessible for human comprehension and straightforward for machines to interpret and create. Derived from a portion of the JavaScript Programming Language Standard ECMA-262 3rd Edition from December 1999, JSON is a text-based format that remains entirely independent of any specific programming language while employing familiar conventions found in C-family languages such as C, C++, C#, Java, JavaScript, Perl, and Python. This versatility positions JSON as an exceptional choice for data interchange.
The structure of JSON is founded on two primary components:
1. A set of name/value pairs, which can be represented in different programming languages as objects, records, structs, dictionaries, hash tables, keyed lists, or associative arrays.
2. An ordered sequence of values, typically manifested in most languages as arrays, vectors, lists, or sequences.
These fundamental structures are universally recognized, and nearly all contemporary programming languages incorporate them in some capacity, further enhancing the utility and appeal of JSON as a data format.
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
No
API Access
Has API
Yes
Integrations
Visual Studio Code
Yes
Breachsense
Yes
Clef
Yes
Create Next Startup
Yes
Daft
Yes
GrabzIt
Yes
JSON Formatter
Yes
Kodika
Yes
Kops.dev
Yes
List & Label
Yes
Integrations
Visual Studio Code
Yes
Breachsense
No
Clef
No
Create Next Startup
No
Daft
No
GrabzIt
No
JSON Formatter
No
Kodika
No
Kops.dev
No
List & Label
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
JSON
Founded
2001
Website
www.json.org
Vendor Details
Company Name
NumPy
Website
numpy.org
