h5py

h5py

HDF5
yarl

yarl

Python Software Foundation
+
+

Related Products

  • JOpt.TourOptimizer
    8 Ratings
    Visit Website
  • OORT DataHub
    13 Ratings
    Visit Website
  • Capitalcore
    44 Ratings
    Visit Website
  • Satori
    86 Ratings
    Visit Website
  • Synchredible
    12 Ratings
    Visit Website
  • KORONA POS
    160 Ratings
    Visit Website
  • Harmoni
    14 Ratings
    Visit Website
  • Curtain LogTrace File Activity Monitoring
    4 Ratings
    Visit Website
  • TeleRay
    6 Ratings
    Visit Website
  • BigCommerce
    1,057 Ratings
    Visit Website

About

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.

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

IT teams in need of a Component Library solution

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:

Review this Software

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

HDF5
www.h5py.org

Company Information

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

Alternatives

Alternatives

requests

requests

Python Software Foundation
websockets

websockets

Python Software Foundation

Categories

Categories

Integrations

Python
NumPy
Visual Studio
Xcode

Integrations

Python
NumPy
Visual Studio
Xcode
Claim h5py and update features and information
Claim h5py and update features and information
Claim yarl and update features and information
Claim yarl and update features and information