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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

Requests is an elegantly designed library for HTTP that simplifies the process of sending HTTP/1.1 requests. It eliminates the hassle of manually appending query strings to URLs or encoding data for PUT and POST requests; instead, it encourages users to leverage the convenient JSON method. Currently, Requests boasts an impressive weekly download rate of approximately 30 million, making it one of the most popular Python packages, and it is utilized by over 1,000,000 repositories on GitHub, which solidifies its reliability and trustworthiness. This powerful library is readily accessible through PyPI and is equipped to meet the demands of building robust and efficient HTTP applications for modern requirements. It features automatic content decompression and decoding, support for international domains and URLs, as well as sessions that maintain cookie persistence. Additionally, it offers browser-style TLS/SSL verification, basic and digest authentication, and cookies that behave like familiar dictionaries. Users can also take advantage of multi-part file uploads, SOCKS proxy support, connection timeouts, and streaming downloads, ensuring a comprehensive toolkit for developers. Overall, the Requests library stands as a testament to simplicity and effectiveness in web communication.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

3LC Yes 
Avanzai Yes 
Codédex Yes 
Coiled Yes 
Cython Yes 
Gensim Yes 
JAX Yes 
MPI for Python (mpi4py) Yes 
NVIDIA FLARE Yes 
Oxylabs No 
PaizaCloud Yes 
PyCharm Yes 
Python No 
Spyder Yes 
Stat Proxies No 
Train in Data Yes 
Unify AI Yes 
Visual Studio Code Yes 
imageio Yes 
scikit-learn Yes 

Integrations

3LC No 
Avanzai No 
Codédex No 
Coiled No 
Cython No 
Gensim No 
JAX No 
MPI for Python (mpi4py) No 
NVIDIA FLARE No 
Oxylabs Yes 
PaizaCloud No 
PyCharm No 
Python Yes 
Spyder No 
Stat Proxies Yes 
Train in Data No 
Unify AI No 
Visual Studio Code No 
imageio No 
scikit-learn 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 Yes 

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 Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NumPy

Website

numpy.org

Vendor Details

Company Name

Python Software Foundation

Country

United States

Website

pypi.org/project/requests/

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Product Features

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