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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

dbForge Data Compare for SQL Server is a specialized GUI-based tool designed to compare table data in SQL Server without the necessity to write code. Key Features: - Support for SQL Server tables, views, data in backups, data in script folders, SQL Azure Cloud, and custom queries - Direct results viewing with full-text data search, easy navigation, sorting, and filtering - Restoration of missing or damaged data down to a single row from native backups - Data synchronization through wizards, allowing for deployment of selected or all changes - Generation of data deployment scripts which can be executed directly or saved for recurring use - Deployment to SQL Server databases, SQL Azure cloud databases, and SQL Server on Amazon RDS - Automation of routine data comparison and synchronization tasks via a command-line interface - Accelerate routine tasks with integrated AI Assistant dbForge Data Compare integrates with SQL Server Management Studio, enhancing its d

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

Database developers and administrators

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

$219.95
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

Devart
Founded: 1997
United States of America
www.devart.com

Company Information

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

Alternatives

Alternatives

Alternatives

Categories

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Integrations

AMPL
CodeAlly
CodeRunner
CoppeliaSim
FastWebHost
Imagine Robotify
JetBrains DataSpell
JetBrains Junie
NVIDIA Holoscan
NXLog
Paperplane
Qualcomm AI Inference Suite
RKTracer
ScraperAPI
Sider Scan
Turso
Valkey
Workona
Zama
eXTReMe-IP-Lookup

Integrations

AMPL
CodeAlly
CodeRunner
CoppeliaSim
FastWebHost
Imagine Robotify
JetBrains DataSpell
JetBrains Junie
NVIDIA Holoscan
NXLog
Paperplane
Qualcomm AI Inference Suite
RKTracer
ScraperAPI
Sider Scan
Turso
Valkey
Workona
Zama
eXTReMe-IP-Lookup

Integrations

AMPL
CodeAlly
CodeRunner
CoppeliaSim
FastWebHost
Imagine Robotify
JetBrains DataSpell
JetBrains Junie
NVIDIA Holoscan
NXLog
Paperplane
Qualcomm AI Inference Suite
RKTracer
ScraperAPI
Sider Scan
Turso
Valkey
Workona
Zama
eXTReMe-IP-Lookup
Claim Python and update features and information
Claim Python and update features and information
Claim dbForge Data Compare for SQL Server and update features and information
Claim dbForge Data Compare for SQL Server and update features and information
Claim statsmodels and update features and information
Claim statsmodels and update features and information