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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

Powerful and affordable RPA platform. Use the flexibility of Python, the convenience of low code, and the potential of AI for intelligent automation. Python RPA is an easy-to-use platform for developing and managing bots in Python. The capabilities of Python make the platform an effective and powerful tool for automating business processes. Enterprise-grade orchestrator for managing Python scripts and low-code projects. Basic Python knowledge is enough to start your automation journey. Stay ahead with instant notifications and a status management board. Uninterrupted flow of process execution, keeping things running smoothly. Ensure secured and managed user access. Keep your credentials secured and ensure activities are being logged. Use any library or framework for creating your project. Develop your Python automation in any open-source Python development environment.

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 Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Component Library solution for DevOps teams

Audience

Enterprises interested in a tool to manage their business processes and automate routine tasks

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$275 per month
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

NumPy
numpy.org

Company Information

Python RPA
Founded: 2019
Kazakhstan
pythonrpa.org

Company Information

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

Alternatives

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5.0 out of 5 stars
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Categories

Categories

Categories

Integrations

3LC Supported
Anaconda Not Supported
Codédex Supported
Coiled Supported
Docker Not Supported
Flower Supported
Gensim Supported
JAX Supported
Java Not Supported
MPI for Python (mpi4py) Supported
Microsoft Azure Not Supported
OpenAI Not Supported
PaizaCloud Supported
PyCharm Supported
Python Not Supported
Spyder Supported
Train in Data Supported
Visual Studio Not Supported
h5py Supported
imageio Supported

Integrations

3LC Not Supported
Anaconda Not Supported
Codédex Not Supported
Coiled Not Supported
Docker Supported
Flower Not Supported
Gensim Not Supported
JAX Not Supported
Java Supported
MPI for Python (mpi4py) Not Supported
Microsoft Azure Supported
OpenAI Supported
PaizaCloud Not Supported
PyCharm Supported
Python Supported
Spyder Not Supported
Train in Data Not Supported
Visual Studio Supported
h5py Not Supported
imageio Not Supported

Integrations

3LC Not Supported
Anaconda Supported
Codédex Not Supported
Coiled Not Supported
Docker Not Supported
Flower Not Supported
Gensim Not Supported
JAX Not Supported
Java Not Supported
MPI for Python (mpi4py) Not Supported
Microsoft Azure Not Supported
OpenAI Not Supported
PaizaCloud Not Supported
PyCharm Not Supported
Python Supported
Spyder Not Supported
Train in Data Not Supported
Visual Studio Not Supported
h5py Not Supported
imageio Not Supported
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