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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Conda serves as an open-source solution for managing packages, dependencies, and environments across various programming languages, including Python, R, Ruby, Lua, Scala, Java, JavaScript, C/C++, Fortran, and others. This versatile system operates seamlessly on multiple platforms such as Windows, macOS, Linux, and z/OS. With the ability to swiftly install, execute, and upgrade packages alongside their dependencies, Conda enhances productivity. It simplifies the process of creating, saving, loading, and switching between different environments on your device. Originally designed for Python applications, Conda's capabilities extend to packaging and distributing software for any programming language. Acting as an efficient package manager, it aids users in locating and installing the packages they require. If you find yourself needing a package that depends on an alternate Python version, there’s no need to switch to a different environment manager; Conda fulfills that role as well. You can effortlessly establish an entirely separate environment to accommodate that specific version of Python, while still utilizing your standard version in your default environment. This flexibility makes Conda an invaluable tool for developers working with diverse software requirements.

Description

IronPython serves as an open-source version of the Python language, seamlessly integrated with the .NET framework. This enables IronPython to access both .NET and Python libraries, allowing other .NET languages to effortlessly invoke Python code. Enhance your development process with the interactive features of Python Tools for Visual Studio, which provide a more engaging environment for .NET and Python development. As a valuable asset to the .NET ecosystem, IronPython empowers Python developers to leverage the extensive capabilities of .NET. Additionally, .NET developers can utilize IronPython as a dynamic and efficient scripting language for embedding, testing, or developing new applications from the ground up. The Common Language Runtime (CLR) is an excellent foundation for programming language creation, and the Dynamic Language Runtime (DLR) further enhances its suitability for dynamic languages. Moreover, the extensive .NET base class libraries and presentation foundation offer developers a wealth of functionality and power. However, to take full advantage of IronPython, it's essential that your existing Python code is adjusted to align with IronPython's syntax and standard libraries. By doing so, developers can fully harness the benefits of this powerful integration.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Studio Lab Yes 
Arize Phoenix Yes 
CodeQwen Yes 
Coiled Yes 
Fortran Package Manager Yes 
JetBrains DataSpell Yes 
Nyala Yes 
Python No 
Reo.Dev Yes 
Seeker Yes 
Sonatype Nexus Repository Yes 
Spark NLP Yes 
Thunder Compute Yes 
Travis CI Yes 
Ultralytics Yes 
Visual Studio No 
garak Yes 

Integrations

Amazon SageMaker Studio Lab No 
Arize Phoenix No 
CodeQwen No 
Coiled No 
Fortran Package Manager No 
JetBrains DataSpell No 
Nyala No 
Python Yes 
Reo.Dev No 
Seeker No 
Sonatype Nexus Repository No 
Spark NLP No 
Thunder Compute No 
Travis CI No 
Ultralytics No 
Visual Studio Yes 
garak No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Conda

Website

docs.conda.io

Vendor Details

Company Name

IronPython

Website

ironpython.net

Product Features

Product Features

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