VBScript

VBScript

Microsoft
Zorro

Zorro

oP group Germany GmbH

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.

About

VBScript is a programming language included with Microsoft Internet Explorer. For other browsers, contact your vendor about support. VBScript 2.0 (or later) is recommended for use with Agent. Although earlier versions of VBScript may work with Agent, they lack certain functions that you may want to use. You can download VBScript 2.0 and obtain further information on VBScript at the Microsoft Downloads site and the Microsoft VBScript site. With VBScript (2.0 or later), you can verify whether Microsoft Agent is installed by trying to create the object and checking to see if it exists. The following sample demonstrates how to check for the Agent control without triggering an auto-download of the control.

About

Zorro is a free institutional-grade software tool specialized on financial research and algorithmic trading. It's compact, easy to learn, and magnitudes faster than R or Python. It can do anything that automated trading platforms do - only better. Zorro offers extreme flexibility and features otherwise not found in consumer trading software. Any trading system, research project, or analysis tool can be realized with a small script in simplified C or C++ (see script examples). R and Python are also supported. Tutorials and video courses get you quickly started, even with no prior coding knowledge.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

IoT Operating System for developers wanting to run microcontrollers

Audience

Programming Language solution for developers

Audience

Traders

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

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

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

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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 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

Training

Documentation
Webinars
Live Online
In Person

Company Information

MicroPython
United Kingdom
micropython.org

Company Information

Microsoft
docs.microsoft.com/en-us/windows/win32/lwef/using-vbscript

Company Information

oP group Germany GmbH
Founded: 2005
Germany
zorro-project.com

Company Information

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

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Keepsake

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Categories

Categories

Categories

Categories

Algorithmic Trading Features

2-Click Trading
Analyst on Demand
Auto Fibs
Auto Trend Lines
Backtesting
Basket Trading
Drawing Tools
Pattern Tools
Stock Screener
Trading From Charts

Integrations

Advanced Email Parser
Altap Salamander
CodePal
CodeSession
Databricks Data Intelligence Platform
EmEditor
Flower
Guild AI
Intel Tiber AI Studio
Keras
MLJAR Studio
Matplotlib
NumPy
Python
RT-Thread
SmartBear AQTime Pro
System Frontier
Train in Data

Integrations

Advanced Email Parser
Altap Salamander
CodePal
CodeSession
Databricks Data Intelligence Platform
EmEditor
Flower
Guild AI
Intel Tiber AI Studio
Keras
MLJAR Studio
Matplotlib
NumPy
Python
RT-Thread
SmartBear AQTime Pro
System Frontier
Train in Data

Integrations

Advanced Email Parser
Altap Salamander
CodePal
CodeSession
Databricks Data Intelligence Platform
EmEditor
Flower
Guild AI
Intel Tiber AI Studio
Keras
MLJAR Studio
Matplotlib
NumPy
Python
RT-Thread
SmartBear AQTime Pro
System Frontier
Train in Data

Integrations

Advanced Email Parser
Altap Salamander
CodePal
CodeSession
Databricks Data Intelligence Platform
EmEditor
Flower
Guild AI
Intel Tiber AI Studio
Keras
MLJAR Studio
Matplotlib
NumPy
Python
RT-Thread
SmartBear AQTime Pro
System Frontier
Train in Data
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