+

Related Products

  • Google Cloud Run
    286 Ratings
    Visit Website
  • Twilio
    1,319 Ratings
    Visit Website
  • Wiz
    1,062 Ratings
    Visit Website
  • Windsurf Editor
    148 Ratings
    Visit Website
  • Teradata VantageCloud
    975 Ratings
    Visit Website
  • TinyPNG
    46 Ratings
    Visit Website
  • Docmosis
    48 Ratings
    Visit Website
  • Building Logistics
    195 Ratings
    Visit Website
  • Stigg
    25 Ratings
    Visit Website
  • Notifii Track
    649 Ratings
    Visit Website

About

Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.

About

IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.

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.

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

IT professionals and users in need of a solution to find and install packages and set up environments

Audience

Developers requiring a scripting language for embedding, testing, or writing new applications

Audience

Component Library solution for DevOps teams

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

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Conda
docs.conda.io

Company Information

IronPython
ironpython.net

Company Information

NumPy
numpy.org

Alternatives

Alternatives

Alternatives

h5py

h5py

HDF5
Mojo

Mojo

Modular

Categories

Categories

Categories

Integrations

Amazon SageMaker Studio Lab
Arize Phoenix
Avanzai
Coiled
Cython
Dash
Fortran Package Manager
JetBrains DataSpell
Reo.Dev
Spark NLP
Spyder
Train in Data
Travis CI
Ultralytics
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
garak
scikit-learn

Integrations

Amazon SageMaker Studio Lab
Arize Phoenix
Avanzai
Coiled
Cython
Dash
Fortran Package Manager
JetBrains DataSpell
Reo.Dev
Spark NLP
Spyder
Train in Data
Travis CI
Ultralytics
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
garak
scikit-learn

Integrations

Amazon SageMaker Studio Lab
Arize Phoenix
Avanzai
Coiled
Cython
Dash
Fortran Package Manager
JetBrains DataSpell
Reo.Dev
Spark NLP
Spyder
Train in Data
Travis CI
Ultralytics
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
garak
scikit-learn
Claim Conda and update features and information
Claim Conda and update features and information
Claim IronPython and update features and information
Claim IronPython and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information