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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.

About

Year-to-year comparisons can highlight trends and point up the need for action. Trend ratio analysis works best with VentureLine's five-year accounting ratios married with a common size analysis. With time period to time period in financial analysis, good or poor performance becomes obvious. VentureLine provides cross-sectional financial analysis tools, comparing industry financial ratios to any company or comparing two companies in similar lines of business. Highly recommended by expert analysts is the most effective form of cross-sectional financial analysis: comparing a company's financial ratios and common size percentages to industry ratios and percentages in which the company competes. One way to visually zero in on potential problems and missteps taking place within a business is to prepare and study common size financial statements. Common size financial statements get rid of the dollars and cents, reflecting account balances as percentages only.

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.

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

Developers interested in a beautiful but advanced programming language

Audience

Companies searching for a financial analysis solution to manage and improve their operations

Audience

Developers and professionals requiring a free solution offering algorithms for their image processing projects

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

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

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:

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Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 5.0 / 5
design 5.0 / 5
support 3.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Python
Founded: 1991
www.python.org

Company Information

VentureLine
www.ventureline.com

Company Information

scikit-image
United States
scikit-image.org

Alternatives

Alternatives

Alternatives

Juris Analyst

Juris Analyst

Juris Technologies
Lambda

Lambda

Lambda Finance

Categories

Categories

Categories

Financial Reporting Features

"What If" Scenarios
Audit Trail
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
General Ledger
Income Statements
Multi-Company
Multi-Department / Project
Profit / Loss Statement

Integrations

Apache NetBeans
Arm Forge
AssemblyAI
DagsHub
Dash0
EmEditor
Kedro
Kiuwan Code Security
MeVisLab
Meya
Qwen
Rebuff AI
Reinforz
Rollup
Studio 3T
Tecton
WordPad
gopaddle
sbomify
txtai

Integrations

Apache NetBeans
Arm Forge
AssemblyAI
DagsHub
Dash0
EmEditor
Kedro
Kiuwan Code Security
MeVisLab
Meya
Qwen
Rebuff AI
Reinforz
Rollup
Studio 3T
Tecton
WordPad
gopaddle
sbomify
txtai

Integrations

Apache NetBeans
Arm Forge
AssemblyAI
DagsHub
Dash0
EmEditor
Kedro
Kiuwan Code Security
MeVisLab
Meya
Qwen
Rebuff AI
Reinforz
Rollup
Studio 3T
Tecton
WordPad
gopaddle
sbomify
txtai
Claim Python and update features and information
Claim Python and update features and information
Claim VentureLine and update features and information
Claim VentureLine and update features and information
Claim scikit-image and update features and information
Claim scikit-image and update features and information