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Average Ratings 0 Ratings
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
No
API Access
Has API
Yes
Integrations
3LC
No
Avanzai
No
CodePal
Yes
Codédex
No
Coiled
No
Cython
No
Dash
No
Flower
No
Gensim
No
MPI for Python (mpi4py)
No
Integrations
3LC
Yes
Avanzai
Yes
CodePal
No
Codédex
Yes
Coiled
Yes
Cython
Yes
Dash
Yes
Flower
Yes
Gensim
Yes
MPI for Python (mpi4py)
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
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
BASIC
Country
United States
Website
en.wikipedia.org/wiki/BASIC
Vendor Details
Company Name
NumPy
Website
numpy.org