Related Products
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About
The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.
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About
Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.
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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.
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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
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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
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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
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Audience
IoT Operating System for developers wanting to run microcontrollers
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Audience
Python developers seeking a tool to build applications
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Audience
Engineers and data scientists requiring a solution to manage and improve their machine learning research
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMicroPython
United Kingdom
micropython.org
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Company InformationWingware
Founded: 1999
United States
wingware.com
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Company Informationscikit-learn
United States
scikit-learn.org/stable/
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Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Application Development Features
Access Controls/Permissions
Not Supported
Code Assistance
Not Supported
Code Refactoring
Supported
Collaboration Tools
Supported
Compatibility Testing
Not Supported
Data Modeling
Not Supported
Debugging
Supported
Deployment Management
Not Supported
Graphical User Interface
Not Supported
Mobile Development
Supported
No-Code
Not Supported
Reporting/Analytics
Not Supported
Software Development
Supported
Source Control
Supported
Testing Management
Not Supported
Version Control
Not Supported
Web App Development
Not Supported
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Integrations
C
Not Supported
C++
Not Supported
EEZ Studio
Supported
Flask
Not Supported
Flower
Not Supported
GLM-5.1
Not Supported
Google App Engine
Not Supported
Guild AI
Not Supported
LVGL
Supported
MATLAB
Not Supported
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Integrations
C
Supported
C++
Supported
EEZ Studio
Not Supported
Flask
Supported
Flower
Not Supported
GLM-5.1
Not Supported
Google App Engine
Supported
Guild AI
Not Supported
LVGL
Not Supported
MATLAB
Supported
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Integrations
C
Not Supported
C++
Not Supported
EEZ Studio
Not Supported
Flask
Not Supported
Flower
Supported
GLM-5.1
Supported
Google App Engine
Not Supported
Guild AI
Supported
LVGL
Not Supported
MATLAB
Not Supported
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