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What is statsmodels?

Statsmodels is a Python library tailored for estimating a variety of statistical models, allowing users to conduct robust statistical tests and analyze data with ease. Each estimator is accompanied by an extensive set of result statistics, which have been corroborated with reputable statistical software to guarantee precision. This library is available under the open-source Modified BSD (3-clause) license, facilitating free usage and modifications. Users can define models using R-style formulas or conveniently work with pandas DataFrames. To explore the available results, one can execute dir(results), where attributes are explained in results.__doc__, and methods come with their own docstrings for additional help. Furthermore, numpy arrays can also be utilized as an alternative to traditional formulas. For most individuals, the easiest method to install statsmodels is via the Anaconda distribution, which supports data analysis and scientific computing tasks across multiple platforms. In summary, statsmodels is an invaluable asset for statisticians and data analysts, making it easier to derive insights from complex datasets. With its user-friendly interface and comprehensive documentation, it stands out as a go-to resource in the field of statistical modeling.

What is python-sql?

Python-SQL is a library that streamlines the process of crafting SQL queries in a more Python-friendly way, providing a range of features such as basic selects, where clause selections, and intricate joins involving multiple connections. It supports grouping and naming outputs, organizes results, and allows for the execution of sub-selects across various schemas. The library also facilitates insert operations, whether using default values, specific entries, or even drawing from another query for the insertion process. In addition, it provides capabilities for updates with designated values, constraints, or lists, and enables deletions that rely on conditions or sub-queries. Moreover, it showcases different styles for constructing queries, including limit style, qmark style, and numeric style, to meet the varied preferences of developers. Such extensive functionality ensures that Python-SQL stands out as a robust solution for developers engaged in database management within a Python context, making it a valuable asset for enhancing productivity and efficiency in database interactions.

Media

Media

Integrations Supported

Python
Anaconda
Domino Enterprise MLOps Platform

Integrations Supported

Python
Anaconda
Domino Enterprise MLOps Platform

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

statsmodels

Company Website

www.statsmodels.org/stable/index.html

Company Facts

Organization Name

Python Software Foundation

Company Location

United States

Company Website

pypi.org/project/python-sql/

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

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Python Software Foundation