yarl

yarl

Python Software Foundation
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+

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About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

About

All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Component Library solution for DevOps teams

Audience

Developers, professionals, companies and individuals seeking a solution offering a URL library solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NumPy
numpy.org

Company Information

Python Software Foundation
United States
pypi.org/project/yarl/

Alternatives

Alternatives

h5py

h5py

HDF5
requests

requests

Python Software Foundation
websockets

websockets

Python Software Foundation

Categories

Categories

Integrations

Avanzai
Codédex
Cython
Dash
Flower
Gensim
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
Python
Spyder
Train in Data
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
imageio
scikit-learn

Integrations

Avanzai
Codédex
Cython
Dash
Flower
Gensim
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
Python
Spyder
Train in Data
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
imageio
scikit-learn
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim yarl and update features and information
Claim yarl and update features and information