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About

PyPI is the official repository for Python software packages, hosting hundreds of thousands of projects that developers can publish and users can discover and install. It supports both source distributions (“sdists”) and pre-built binary “wheels”, allowing packages to include native extensions for different platforms. Projects on PyPI consist of multiple releases, each of which can include various files for different operating systems or Python versions. Metadata for each package includes things like version number, dependencies, licensing, classifiers, description (including rendering Markdown or reStructuredText), and other information that tools like pip use to resolve, download, and install the correct package. PyPI provides search and filtering based on package metadata, letting users find what they need via keywords, compatibility, or other package attributes.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Python developers searching for a solution to publish, distribute, search for, and install software libraries and tools

Audience

Developers interested in a beautiful but advanced programming language

Audience

Developers looking for a library for converting python numpy datastructures to the ROOT output format

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

PyPI
Founded: 2003
United States
pypi.org

Company Information

Python
Founded: 1991
www.python.org

Company Information

broot
pypi.org/project/broot/

Alternatives

Alternatives

Alternatives

yarl

yarl

Python Software Foundation
h5py

h5py

HDF5
websockets

websockets

Python Software Foundation

Categories

Categories

Categories

Integrations

BotCity
Elastic APM
GPT-4.5
Google OSS-Fuzz
Gunicorn
Hue
JetBrains Academy
Meya
OpenAI o1-mini
Percy
Red Hat OpenShift Dev Spaces
Sieve
Superblocks
Surmount AI
SwapCode AI
Timeplus
TopK
Yandex Managed Service for YDB
Zenserp
pexpect

Integrations

BotCity
Elastic APM
GPT-4.5
Google OSS-Fuzz
Gunicorn
Hue
JetBrains Academy
Meya
OpenAI o1-mini
Percy
Red Hat OpenShift Dev Spaces
Sieve
Superblocks
Surmount AI
SwapCode AI
Timeplus
TopK
Yandex Managed Service for YDB
Zenserp
pexpect

Integrations

BotCity
Elastic APM
GPT-4.5
Google OSS-Fuzz
Gunicorn
Hue
JetBrains Academy
Meya
OpenAI o1-mini
Percy
Red Hat OpenShift Dev Spaces
Sieve
Superblocks
Surmount AI
SwapCode AI
Timeplus
TopK
Yandex Managed Service for YDB
Zenserp
pexpect
Claim PyPI and update features and information
Claim PyPI and update features and information
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Claim Python and update features and information
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Claim broot and update features and information