About
Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
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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.
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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
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Component Library solution for DevOps teams
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Audience
Developers interested in a beautiful but advanced programming language
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Audience
Database developers and administrators
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Audience
Users and anyone in search of a solution to calculate the estimation of many different statistical models
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
$219.95
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationNumPy
numpy.org
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Company InformationPython
Founded: 1991
www.python.org
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Company InformationDevart
Founded: 1997
United States of America
www.devart.com
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Company Informationstatsmodels
www.statsmodels.org/stable/index.html
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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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
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Integrations
Claude Code
Claude Sonnet 4
CodeTasty
Coverity Static Analysis
CrowdRender
GraalVM
Hacker AI
Intel oneAPI HPC Toolkit
LLMFuzzer
LiteRT
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Integrations
Claude Code
Claude Sonnet 4
CodeTasty
Coverity Static Analysis
CrowdRender
GraalVM
Hacker AI
Intel oneAPI HPC Toolkit
LLMFuzzer
LiteRT
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Integrations
Claude Code
Claude Sonnet 4
CodeTasty
Coverity Static Analysis
CrowdRender
GraalVM
Hacker AI
Intel oneAPI HPC Toolkit
LLMFuzzer
LiteRT
|
Integrations
Claude Code
Claude Sonnet 4
CodeTasty
Coverity Static Analysis
CrowdRender
GraalVM
Hacker AI
Intel oneAPI HPC Toolkit
LLMFuzzer
LiteRT
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