Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • CrankWheel Reviews & Ratings
    187 Ratings
    Company Website
  • SurveyJS Reviews & Ratings
    61 Ratings
    Company Website
  • JOpt.TourOptimizer Reviews & Ratings
    10 Ratings
    Company Website
  • Crowdin Reviews & Ratings
    881 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,107 Ratings
    Company Website
  • Windocks Reviews & Ratings
    7 Ratings
    Company Website
  • pCloud Business Reviews & Ratings
    183 Ratings
    Company Website
  • JDisc Discovery Reviews & Ratings
    27 Ratings
    Company Website
  • Docmosis Reviews & Ratings
    50 Ratings
    Company Website
  • TinyPNG Reviews & Ratings
    55 Ratings
    Company Website

What is yarl?

Each part of a URL, which includes the scheme, user, password, host, port, path, query, and fragment, can be accessed via their designated properties. When a URL is manipulated, it creates a new URL object, and any strings passed into the constructor or modification functions are automatically encoded to achieve a standard format. Standard properties return values that are percent-decoded, while the raw_ variants are used when you need the encoded strings. For a version of the URL that is easier for humans to read, the .human_repr() method can be utilized. The yarl library offers binary wheels on PyPI for various operating systems, including Linux, Windows, and MacOS. If you need to install yarl on systems like Alpine Linux, which do not meet manylinux standards because they lack glibc, you will have to compile the library from the source using the provided tarball. This compilation requires that you have a C compiler and the appropriate Python headers installed on your system. It's crucial to note that the uncompiled, pure-Python version of yarl tends to be significantly slower than its compiled counterpart. However, users of PyPy will find that it generally uses a pure-Python implementation, meaning it does not suffer from these performance discrepancies. Consequently, PyPy users can rely on the library to deliver consistent behavior across different environments, ensuring a uniform experience no matter where it is run.

What is NumPy?

Quick and versatile, the principles of vectorization, indexing, and broadcasting in NumPy have established themselves as the standard for modern array computations. This robust library offers a comprehensive suite of mathematical functions, random number generation tools, linear algebra operations, Fourier transformations, and much more. NumPy's compatibility with a wide range of hardware and computing platforms allows it to work effortlessly with distributed systems, GPU libraries, and sparse array structures. At its foundation, NumPy is constructed with highly optimized C code, enabling users to benefit from the speed typical of compiled languages while still enjoying the flexibility provided by Python. The intuitive syntax of NumPy enhances its user-friendliness and efficiency for programmers of all levels and expertise. By merging the computational power of languages such as C and Fortran with Python’s approachability, NumPy streamlines complex processes, leading to solutions that are both clear and elegant. As a result, this library equips users to confidently and easily address a diverse array of numerical challenges, making it an essential tool in the world of data science and numerical analysis. Furthermore, the active community around NumPy continuously contributes to its development, ensuring that it remains relevant and powerful in the face of evolving computational needs.

Media

Media

Integrations Supported

3LC
Avanzai
Codédex
Cython
Dash
Flower
Gensim
JAX
NVIDIA FLARE
PaizaCloud
PyCharm
Python
Spyder
Train in Data
Unify AI
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

Integrations Supported

3LC
Avanzai
Codédex
Cython
Dash
Flower
Gensim
JAX
NVIDIA FLARE
PaizaCloud
PyCharm
Python
Spyder
Train in Data
Unify AI
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Python Software Foundation

Company Location

United States

Company Website

pypi.org/project/yarl/

Company Facts

Organization Name

NumPy

Company Website

numpy.org

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

h5py Reviews & Ratings

h5py

HDF5
requests Reviews & Ratings

requests

Python Software Foundation
websockets Reviews & Ratings

websockets

Python Software Foundation