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Description
Avanzai accelerates your financial data analysis by allowing you to generate production-ready Python code through natural language commands. This innovative tool streamlines the financial analysis process for novices and seasoned professionals alike, utilizing simple English for interaction. You can effortlessly plot time series data, equity index components, and stock performance metrics with straightforward prompts. Eliminate tedious aspects of financial analysis by using AI to produce code with the necessary Python libraries pre-installed. Once the code is generated, you can modify it as needed, then easily transfer it into your local setup to dive right into your projects. Benefit from popular Python libraries tailored for quantitative analysis, including Pandas and Numpy, all while communicating in plain English. Elevate your financial analysis capabilities by swiftly accessing fundamental data and assessing the performance of nearly every US stock. With Avanzai, you can enhance your investment strategies using precise and timely information, empowering you to write the same Python scripts that quantitative analysts rely on for dissecting intricate financial datasets. This revolutionary approach not only simplifies the coding process but also enriches your understanding of data-driven investment decisions.
Description
Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.
API Access
Has API
API Access
Has API
Integrations
3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
ApertureDB
Dagster
Flower
Flyte
Kedro
MLJAR Studio
Netdata
Integrations
3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
ApertureDB
Dagster
Flower
Flyte
Kedro
MLJAR Studio
Netdata
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Avanzai
Country
United States
Website
avanz.ai/
Vendor Details
Company Name
pandas
Founded
2008
Website
pandas.pydata.org
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Financial Reporting
"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
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics