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Description
BASIC, which stands for Beginners' All-purpose Symbolic Instruction Code, represents a collection of high-level programming languages that prioritize user-friendliness. In its early days, BASIC primarily focused on facilitating simple mathematical computations, initially incorporating batch processing for matrix arithmetic and later expanding to include character string capabilities by 1965. The introduction of BASIC was a key part of the broader transition to time-sharing computing systems. Certain variants of BASIC featured support for matrices and related operations, enabling users to tackle systems of simultaneous linear equations effectively. These variants allowed for various matrix operations, including assignment, addition, multiplication (for compatible types), and determinant evaluation. However, as the 1990s approached, BASIC's popularity waned due to the emergence of more powerful microcomputers and the rising adoption of programming languages like Pascal and C, which offered more sophisticated features suitable for modern computing demands. Consequently, the shift towards these advanced languages marked a significant turning point in the programming landscape during that era.
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
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3LC
Avanzai
CodePal
Coiled
Cython
Dash
Flower
Gensim
JAX
NVIDIA FLARE
Integrations
3LC
Avanzai
CodePal
Coiled
Cython
Dash
Flower
Gensim
JAX
NVIDIA FLARE
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Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
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Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
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Online Support
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Live Rep (24/7)
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Types of Training
Training Docs
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Live Training (Online)
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Vendor Details
Company Name
BASIC
Country
United States
Website
en.wikipedia.org/wiki/BASIC
Vendor Details
Company Name
NumPy
Website
numpy.org