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What is GeoPandas?

GeoPandas is an open-source project driven by the community, aimed at making geospatial data handling easier within the Python programming environment. By building upon the existing data types from pandas, GeoPandas allows for efficient spatial operations on geometric data types. This library employs shapely to perform geometric functions, while relying on fiona for managing files and matplotlib for creating visualizations. The core objective of GeoPandas is to enhance the user experience when working with geospatial data in Python. It merges the capabilities of both pandas and shapely, enabling users to execute geospatial operations effortlessly within the pandas ecosystem and offering a straightforward interface for various geometric functions through shapely. With GeoPandas, tasks that traditionally required a spatial database, such as PostGIS, can be accomplished directly in Python. The initiative is backed by a diverse and global community of contributors with different skill levels, ensuring continuous development and support. Furthermore, the commitment to remaining fully open-source and being available under the flexible BSD-3-Clause license fosters its ongoing accessibility and evolution. Hence, GeoPandas stands out as an invaluable tool for anyone interested in engaging with geospatial data in a practical and user-friendly manner, potentially transforming complex data analysis tasks into more manageable ones.

What is CData Python Connectors?

CData Python Connectors simplify the process for Python developers to link up with various data sources, including SaaS, Big Data, NoSQL, and relational databases. These connectors offer straightforward database interfaces compliant with DB-API, enabling seamless integration with popular platforms like Jupyter Notebook and SQLAlchemy. By encapsulating SQL within APIs and data protocols, CData Python Connectors facilitate effortless data access for Python applications. They empower users to connect to over 150 data sources from the realms of SaaS and Big Data while benefiting from robust Python processing capabilities. Serving as an essential tool for Python developers, the CData Python Connectors ensure consistent connectivity and provide user-friendly interfaces for a vast array of data sources, including those in the SaaS/Cloud and NoSQL domains. With these connectors, accessing and manipulating diverse datasets has never been easier. You can explore further or download a 30-day free trial at: https://www.cdata.com/python/.

Media

Media

Integrations Supported

Acumatica Cloud ERP
Airtable
Apache Cassandra
Athena
Basecamp
Box
DataRobot
Elasticsearch
Freshdesk
Google Earth Engine
Mailchimp
Union Pandera
Xero

Integrations Supported

Acumatica Cloud ERP
Airtable
Apache Cassandra
Athena
Basecamp
Box
DataRobot
Elasticsearch
Freshdesk
Google Earth Engine
Mailchimp
Union Pandera
Xero

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GeoPandas

Date Founded

2013

Company Website

geopandas.org/en/stable/

Company Facts

Organization Name

CData Software

Company Location

United States

Company Website

cdata.com

Categories and Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

Categories and Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

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