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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.
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About
QBasic as well as QuickBasic is an easy-to-learn programming language (and therefore ideal for beginners), based on DOS operating system, but also executable on Windows. QBasic is the slimmed-down version of QuickBasic. Compared to QuickBasic, QBasic is limited as it lacks a compiler. Therefore QBasic cannot be used to produce executables (.exe files). The source code (usual files with .bas extension) can only be executed immediately by the built-in QBasic interpreter. Furthermore, QuickBasic has a more extensive command set than QBasic. The best way to learn to program is to start with a lightweight programming language and a simple compiler. Qbasic (short: QB) has great advantages for pros and beginners that other compilers can't offer. Back then, when DOS was the most widely used operating system, QB IDE enjoyed great popularity. On current Windows systems, QBasic/QuickBASIC requires a DOS emulator, e.g. DOSBox.
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About
scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
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Audience
Developers interested in a beautiful but advanced programming language
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Audience
Anyone in need of an neasy-to-learn programming language that is executable on Windows
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Audience
Developers and professionals requiring a free solution offering algorithms for their image processing projects
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationPython
Founded: 1991
www.python.org
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Company InformationQBasic
Germany
www.qbasic.net
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Company Informationscikit-image
United States
scikit-image.org
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Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Integrations
Amazon SageMaker Model Building
Android Studio
Better Stack
DecisionRules
FastAPI
GPT-5 mini
Google Cirq
JetBrains DataSpell
MLJAR Studio
Mailman
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Integrations
Amazon SageMaker Model Building
Android Studio
Better Stack
DecisionRules
FastAPI
GPT-5 mini
Google Cirq
JetBrains DataSpell
MLJAR Studio
Mailman
|
Integrations
Amazon SageMaker Model Building
Android Studio
Better Stack
DecisionRules
FastAPI
GPT-5 mini
Google Cirq
JetBrains DataSpell
MLJAR Studio
Mailman
|
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