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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.

About

StackWave's Laboratory Information Management System (LIMS), Electronic Laboratory Notebook (ELN), and Scientific Data Management System (SDMS) are modern, flexible, and innovative software solutions that will increase the overall efficiency of your laboratory. Let the team at StackWave help you automate all of your tedious scientific processes so your team can focus on what really matters. StackWave's laboratory software is the perfect fit for labs in any industry and of any size. Our solutions support a diverse range of processes. We've worked with teams at fledgling biotechs, large pharmaceutical companies, and everything in between. Leveraging the latest in web, database, and software technologies, the StackWave LIMS is the most modern laboratory information management system available. Built on StackWave’s proven software infrastructure, the StackWave LIMS provides the flexibility, reliability, and performance to meet your most demanding information management challenges.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

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

Developers interested in a beautiful but advanced programming language

Audience

Laboratories in search of a solution to manage their operations and increase their efficiency

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

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

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

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 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

Company Information

Python
Founded: 1991
www.python.org

Company Information

StackWave
Founded: 2011
United States
www.stackwave.com

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
Sapio LIMS

Sapio LIMS

Sapio Sciences
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
Labguru

Labguru

Cenevo
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

AWS Cloud9
Azure DevOps Labs
CodeLite
CodeRunner
DeviceID
Gemini Pro
GeniePy
Orchestra
Parallel
Qoder
Razorhost
ReportLab
Schematic
SigNoz
Snappytick
StackGen
TextBlob
UbiOps
Undrstnd
kcov

Integrations

AWS Cloud9
Azure DevOps Labs
CodeLite
CodeRunner
DeviceID
Gemini Pro
GeniePy
Orchestra
Parallel
Qoder
Razorhost
ReportLab
Schematic
SigNoz
Snappytick
StackGen
TextBlob
UbiOps
Undrstnd
kcov

Integrations

AWS Cloud9
Azure DevOps Labs
CodeLite
CodeRunner
DeviceID
Gemini Pro
GeniePy
Orchestra
Parallel
Qoder
Razorhost
ReportLab
Schematic
SigNoz
Snappytick
StackGen
TextBlob
UbiOps
Undrstnd
kcov
Claim Python and update features and information
Claim Python and update features and information
Claim StackWave and update features and information
Claim StackWave and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information