About
It provides a familiar, non-XML syntax that compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. As templates are ultimately compiled into Python bytecode, Mako's approach is extremely efficient and was originally written to be just as fast as Cheetah. Today, Mako is very close in speed to Jinja2, which uses a similar approach and for which Mako was an inspiration. Can access variables from their enclosing scope as well as the template's request context
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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
The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.
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About
dbForge Data Compare for SQL Server is a specialized GUI-based tool designed to compare table data in SQL Server without the necessity to write code.
Key Features:
- Support for SQL Server tables, views, data in backups, data in script folders, SQL Azure Cloud, and custom queries
- Direct results viewing with full-text data search, easy navigation, sorting, and filtering
- Restoration of missing or damaged data down to a single row from native backups
- Data synchronization through wizards, allowing for deployment of selected or all changes
- Generation of data deployment scripts which can be executed directly or saved for recurring use
- Deployment to SQL Server databases, SQL Azure cloud databases, and SQL Server on Amazon RDS
- Automation of routine data comparison and synchronization tasks via a command-line interface
- Accelerate routine tasks with integrated AI Assistant
dbForge Data Compare integrates with SQL Server Management Studio, enhancing its d
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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
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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
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Audience
Template library solution written in Python for developers
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Audience
Developers interested in a beautiful but advanced programming language
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Audience
Developers looking for a library for converting python numpy datastructures to the ROOT output format
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Audience
Database developers and administrators
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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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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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API
Offers API
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Screenshots and Videos |
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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Pricing
$219.95
Free Version
Free Trial
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Reviews/
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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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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMako
www.makotemplates.org
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Company InformationPython
Founded: 1991
www.python.org
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Company Informationbroot
pypi.org/project/broot/
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Company InformationDevart
Founded: 1997
United States of America
www.devart.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
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Integrations
Coverage.py
Coveralls
Doc Converter Pro
Einblick
Firebase Studio
Google Earth Engine
Grok 4 Fast
KeyCAPTCHA
LLM Gateway
LeaderGPU
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Integrations
Coverage.py
Coveralls
Doc Converter Pro
Einblick
Firebase Studio
Google Earth Engine
Grok 4 Fast
KeyCAPTCHA
LLM Gateway
LeaderGPU
|
Integrations
Coverage.py
Coveralls
Doc Converter Pro
Einblick
Firebase Studio
Google Earth Engine
Grok 4 Fast
KeyCAPTCHA
LLM Gateway
LeaderGPU
|
Integrations
Coverage.py
Coveralls
Doc Converter Pro
Einblick
Firebase Studio
Google Earth Engine
Grok 4 Fast
KeyCAPTCHA
LLM Gateway
LeaderGPU
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