+
+

Related Products

  • Windsurf Editor
    155 Ratings
    Visit Website
  • Docmosis
    48 Ratings
    Visit Website
  • Teradata VantageCloud
    992 Ratings
    Visit Website
  • Google Cloud Run
    312 Ratings
    Visit Website
  • Twilio
    1,336 Ratings
    Visit Website
  • Device42
    173 Ratings
    Visit Website
  • TinyPNG
    47 Ratings
    Visit Website
  • JOpt.TourOptimizer
    8 Ratings
    Visit Website
  • SonarQube Cloud
    190 Ratings
    Visit Website
  • Toast POS
    871 Ratings
    Visit Website

About

Pexpect makes Python a better tool for controlling other applications. Pexpect is a pure Python module for spawning child applications; controlling them, and responding to expected patterns in their output. Pexpect works like Don Libes’ Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands. Pexpect can be used for automating interactive applications such as ssh, FTP, passwd, telnet, etc. It can be used to automate setup scripts for duplicating software package installations on different servers. It can be used for automated software testing. Pexpect is in the spirit of Don Libes’ Expect, but Pexpect is pure Python. Unlike other Expect-like modules for Python, Pexpect does not require TCL or Expect nor does it require C extensions to be compiled. It should work on any platform that supports the standard Python pty module. The Pexpect interface was designed to be easy to use.

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

Audience

Professional teams and individuals seeking a tool for managing and controlling other 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

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

Company Information

pexpect
pexpect.readthedocs.io/en/stable/

Company Information

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

Alternatives

Alternatives

yarl

yarl

Python Software Foundation

Categories

Categories

Integrations

Python
Anaconda

Integrations

Python
Anaconda
Claim pexpect and update features and information
Claim pexpect and update features and information
Claim statsmodels and update features and information
Claim statsmodels and update features and information