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 new generation Pascal programming language combines the simplicity of classic Pascal, a great number of modern extensions, and the broad capabilities of Microsoft .NET Framework. Free, simple, and powerful IDE. Built-in form designer for rapid development of Windows desktop applications. Download the latest version of PascalABC.NET with a build-in form designer. Several extensions of the Pascal language, including the foreach operator, in-block variable definitions, auto type deduction in variable definitions, simplified syntax of units, method implementations inside classes and records, a new operator for object construction, anonymous classes, auto-classes, BigIntegers, etc. The most modern features of programming languages like n-dimensional dynamic arrays, generics, interfaces, operator overloading, exceptions, garbage collection, and lambda expressions. IDE with integrated debugger, IntelliSense system, code templates, and code auto-formatting.
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About
Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.
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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
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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
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Audience
Component Library solution for DevOps teams
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Audience
Companies and individuals in search of a solution to develop Windows desktop applications
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Audience
Python developers seeking a tool to build applications
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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
No information available.
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 InformationPascalABC.NET
pascalabc.net/en/
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Company InformationWingware
Founded: 1999
United States
wingware.com
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Company Informationstatsmodels
www.statsmodels.org/stable/index.html
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Application Development Features
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
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Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
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Integrations
Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
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Integrations
Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
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Integrations
Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
|
Integrations
Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
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