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PyQuery

Definition updated on November 2023

What is PyQuery?

An HTML and XML document can be altered and its data extracted using the Python package PyQuery. It offers a jQuery-like API and syntax, which makes working with online content in Python simple. Using CSS selectors, PyQuery enables you to pick out certain elements from an XML or HTML page and change or extract data from them. As a result, PyQuery is frequently used for manipulating XML and HTML, parsing, and extracting data from web APIs.

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Multi-Dimensional Analysis
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M
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Metadata Harvesting
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M
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Machine Data
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M
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Logical Data Model
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Legacy Data Integration
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Linked Data
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Lagrangian Data Analysis
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Information Architecture
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Knowledge Graph
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Key Performance Indicators (KPI)
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JSON Data Interchange Format
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In-Memory Computing
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Internet of Things (IoT) Data
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Information Theory
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Feature Extraction
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F
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Indexing and Searching
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Incremental Learning
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Hybrid Data Models
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Homomorphic Encryption
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High-Performance Computing
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Heuristic Analysis
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Hierarchical Data Format
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Differential Privacy
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D
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Graph Databases
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Forensic Data Analysis
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File Format Conversion
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Field-Level Encryption
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F
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Federated Learning
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F
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Extract, Load, Transform (ELT)
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Enterprise Data Management
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Entity Resolution
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E
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Edge Computing
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E
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Document Storage
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D
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Dimensional Modeling
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D
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Diagnostic Analytics
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D
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Digital Forensics
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D
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Descriptive Analytics
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D
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Data Visualization Tools
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D
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Decision Support Systems
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D
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Database Design
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D
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Database Indexing
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D
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Data Value Chain
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D
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Data Utilization
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D
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Data Traffic Analysis
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D
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Data Transformation Services
What are data transformation services?
D
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Data Transmutation
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D
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Data Taxonomy
What is data taxonomy?
D
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Data Tracing
What is data tracing?
D
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Data Subsetting
What is data subsetting?
D
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Data Structuring
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D
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Data Streaming
What is data streaming?
D
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Data Steward
Who is a data steward?
D
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Data Serialization
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D
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Data Semantics
What are data semantics?
D
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Data Science Platforms
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D
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Data Retention
What is data retention?
D
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Data Reconciliation
What is data reconciliation?
D
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Data Resilience
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D
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Data Recovery
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D
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Data Readiness Levels
What are Data Readiness Levels?
D
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Data Refinement
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D
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Data Registries
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D
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Data Reduction
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D
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Data Quality Assurance
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D
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Data Orchestration
What is data orchestration?
D
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Data Operations (DataOps)
What are Data Operations (DataOps)?
D
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Data Obfuscation
What is data obfuscation?
D
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Data Literacy
What is data literacy?
D
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Data Discovery
What is data discovery?
D
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Data Curation
What is data curation?
D
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Data Blending
What is data blending?
D
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Data Migration
What is data migration?
D
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Data Normalization
What is data normalization?
D
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Data Deduplication
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D
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Data Profiling
What is data profiling?
D
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Data Mashup
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D
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Data Enrichment
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D
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Master Data Management
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M
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Data Staging
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D
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Data Cleansing
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D
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Data Lifecycle Management
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D
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Data Standards
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D
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Quantitative Analysis
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Q
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Metadata Management
What is metadata management?
M
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Data Federation
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D
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Knowledge Discovery
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K
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Data Provenance
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D
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Information Retrieval
What is information retrieval?
I
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Data Marts
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D
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Data Modeling
What is data modeling?
D
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Open-Source Software Licensing
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Patent Filings
What are patent filings?
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Terms of Use and Privacy Policies
What are terms of use and privacy policies?
T
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API Terms of Service
What are API terms of service?
A
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Copyright Infringement Detection
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Trademark Protection
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DMCA Takedown Notices
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Anti-Piracy Measures
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A
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Digital Rights Management
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D
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Software Licensing
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