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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

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

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

Developers interested in a beautiful but advanced programming language

Audience

Component Library solution for developers

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

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 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

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

Python
Founded: 1991
www.python.org

Company Information

imageio
imageio.readthedocs.io/en/stable/

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

Alternatives

JDeli

JDeli

IDR Solutions

Alternatives

yarl

yarl

Python Software Foundation

Categories

Categories

Categories

Integrations

Aid4Mail
Alumnium
Amira Software
Apache Zeppelin
DiscoLike
Golf
HyperCrawl
IntelliSense
LangMem
Mem0
Omnixia
Qwen-7B
Service Objects Name Validation
Service Objects Reverse Phone Lookup
Tensorlake
TrueZero Tokenization
UEStudio
Vaex
Zuar Runner
mcp-use

Integrations

Aid4Mail
Alumnium
Amira Software
Apache Zeppelin
DiscoLike
Golf
HyperCrawl
IntelliSense
LangMem
Mem0
Omnixia
Qwen-7B
Service Objects Name Validation
Service Objects Reverse Phone Lookup
Tensorlake
TrueZero Tokenization
UEStudio
Vaex
Zuar Runner
mcp-use

Integrations

Aid4Mail
Alumnium
Amira Software
Apache Zeppelin
DiscoLike
Golf
HyperCrawl
IntelliSense
LangMem
Mem0
Omnixia
Qwen-7B
Service Objects Name Validation
Service Objects Reverse Phone Lookup
Tensorlake
TrueZero Tokenization
UEStudio
Vaex
Zuar Runner
mcp-use
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