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.

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.

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.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Component Library solution for DevOps teams

Audience

Companies and individuals in search of a solution to develop Windows desktop applications

Audience

Python developers seeking a tool to build applications

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

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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 3.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 1.0 / 5
support 4.0 / 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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NumPy
numpy.org

Company Information

PascalABC.NET
pascalabc.net/en/

Company Information

Wingware
Founded: 1999
United States
wingware.com

Company Information

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

Alternatives

Alternatives

Alternatives

Alternatives

h5py

h5py

HDF5
Oxygene

Oxygene

RemObjects Software
Pascal

Pascal

Vartion
PyCharm

PyCharm

JetBrains

Categories

Categories

Categories

Categories

Application Development Features

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Integrations

Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
Mercurial
Python
Raspberry Pi OS
Spyder
Train in Data
Vagrant
Visual Studio
Wing
Yamak.ai
h5py

Integrations

Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
Mercurial
Python
Raspberry Pi OS
Spyder
Train in Data
Vagrant
Visual Studio
Wing
Yamak.ai
h5py

Integrations

Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
Mercurial
Python
Raspberry Pi OS
Spyder
Train in Data
Vagrant
Visual Studio
Wing
Yamak.ai
h5py

Integrations

Amazon Web Services (AWS)
Coiled
Dash
Docker
Emacs
Flask
Gensim
Git
JAX
MPI for Python (mpi4py)
Mercurial
Python
Raspberry Pi OS
Spyder
Train in Data
Vagrant
Visual Studio
Wing
Yamak.ai
h5py
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim PascalABC.NET and update features and information
Claim PascalABC.NET and update features and information
Claim Wing Python IDE and update features and information
Claim Wing Python IDE and update features and information
Claim statsmodels and update features and information
Claim statsmodels and update features and information