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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

CData Python Connectors make it easy for Python users to connect to SaaS and Big Data, NoSQL and relational data sources. Our Python Connectors provide simple Python database interfaces to (DB-API), making them easy to connect to popular tools like Jupyter Notebook and SQLAlchemy. CData Python Connectors wrap SQL around APIs and data protocol, making it easier to access data from Python. It also allows Python users to connect more than 150 SaaS and Big Data data sources with advanced Python processing. The CData Python Connectors bridge a critical gap in Python tooling, providing consistent connectivity with data-centric interfaces for hundreds of SaaS/Cloud, NoSQL and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/

Description

This desktop application integrates Jupyter Notebook and Python, allowing for a seamless one-click installation. It features engaging code snippets alongside an AI assistant that enhances coding efficiency, making it an ideal tool for data science endeavors. We have meticulously developed over 100 interactive code recipes tailored for your Data Science projects, which can identify available packages within your current environment. With a single click, you can install any required modules, streamlining your workflow significantly. Users can easily create and manipulate all variables present in their Python session, while these interactive recipes expedite the completion of tasks. The AI Assistant, equipped with knowledge of your active Python session, variables, and modules, is designed to address data challenges using the Python programming language. It offers support for various tasks, including plotting, data loading, data wrangling, and machine learning. If you encounter code issues, simply click the Fix button, and the AI assistant will analyze the problem and suggest a viable solution, making your coding experience smoother and more productive. Additionally, this innovative tool not only simplifies coding but also enhances your learning curve in data science.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acumatica Cloud ERP Yes 
Airtable Yes 
Apache Cassandra Yes 
Apache Parquet No 
Athena Yes 
Freshdesk Yes 
GitHub No 
Google Sheets No 
Jupyter Notebook No 
Mailchimp Yes 
Matplotlib No 
OpenAI No 
Paddle No 
PayPal No 
Pickle No 
PostgreSQL No 
Python No 
Stata No 
XML No 
Xero Yes 

Integrations

Acumatica Cloud ERP No 
Airtable No 
Apache Cassandra No 
Apache Parquet Yes 
Athena No 
Freshdesk No 
GitHub Yes 
Google Sheets Yes 
Jupyter Notebook Yes 
Mailchimp No 
Matplotlib Yes 
OpenAI Yes 
Paddle Yes 
PayPal Yes 
Pickle Yes 
PostgreSQL Yes 
Python Yes 
Stata Yes 
XML Yes 
Xero No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$20 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

CData Software

Country

United States

Website

cdata.com

Vendor Details

Company Name

MLJAR

Founded

2016

Country

Poland

Website

mljar.com

Product Features

API Management

API Design No 
API Lifecycle Management Yes 
Access Control Yes 
Analytics Yes 
Dashboard No 
Developer Portal No 
Testing Management No 
Threat Protection No 
Traffic Control No 
Version Control No 

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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