# CloudQuant Documentation

## Docs

- [Example Queries](https://knowledge.cloudquant.com/api-reference/concepts/example-queries.md): Practical examples of CloudQuant Data Liberator queries including last known value, time series, all symbols, live datasets, and stats.
- [Listing Datasets](https://knowledge.cloudquant.com/api-reference/concepts/listing-datasets.md): How to list, filter, and inspect available datasets using the CloudQuant Data Liberator API across all supported languages.
- [Queries & Working with Large Datasets](https://knowledge.cloudquant.com/api-reference/concepts/queries-large-datasets.md): Best practices for querying large datasets with the CloudQuant Data Liberator API, including point-in-time and time series query patterns.
- [Query Parameters Reference](https://knowledge.cloudquant.com/api-reference/concepts/query-parameters.md): Complete reference for all parameters accepted by the CloudQuant Data Liberator query function across all SDKs.
- [C++ SDK Getting Started](https://knowledge.cloudquant.com/api-reference/cpp/getting-started.md): Installation guide and prerequisites for using the CloudQuant Data Liberator C++ API.
- [C# SDK Getting Started](https://knowledge.cloudquant.com/api-reference/csharp/getting-started.md): Installation guide and prerequisites for using the CloudQuant Data Liberator C# API.
- [Configuring Your Account](https://knowledge.cloudquant.com/api-reference/excel-plugin/configuring-account.md): How to set up your CloudQuant account credentials in the Excel Plug-In.
- [Creating a Query Using the Ribbon Bar Wizard](https://knowledge.cloudquant.com/api-reference/excel-plugin/ribbon-bar-wizard.md): Step-by-step guide to creating queries in the Excel Plug-In using the Ribbon Bar Wizard.
- [Creating a Query Using the Pop Out Task Pane](https://knowledge.cloudquant.com/api-reference/excel-plugin/task-pane.md): How to use the Excel Plug-In task pane to create, manage, and run queries.
- [Understanding Queries](https://knowledge.cloudquant.com/api-reference/excel-plugin/understanding-queries.md): Overview of point-in-time and time series query types in the Excel Plug-In.
- [Java SDK Getting Started](https://knowledge.cloudquant.com/api-reference/java/getting-started.md): Prerequisites and setup guide for using the Java CloudQuant Data Liberator External API.
- [JavaScript SDK Getting Started](https://knowledge.cloudquant.com/api-reference/javascript/getting-started.md): Installation guide and prerequisites for using the CloudQuant Data Liberator NodeJS module.
- [Advanced - Query Data Using requests.post RESTful API](https://knowledge.cloudquant.com/api-reference/python/advanced-rest-api.md): How to query CloudQuant Data Liberator data directly using Python's requests.post method with the RESTful API.
- [CloudQuant Charting](https://knowledge.cloudquant.com/api-reference/python/charting.md): Python library for creating branded financial visualizations including candlestick charts, histograms, line charts, bar charts, and more.
- [Python SDK Getting Started](https://knowledge.cloudquant.com/api-reference/python/getting-started.md): Installation guide and prerequisites for using the CloudQuant Data Liberator Python API from your own environment.
- [R SDK Getting Started](https://knowledge.cloudquant.com/api-reference/r-language/getting-started.md): Installation guide and prerequisites for using the CloudQuant Data Liberator R API.
- [RESTful API Getting Started](https://knowledge.cloudquant.com/api-reference/restful/getting-started.md): Complete guide to querying the CloudQuant Data Liberator RESTful API using curl and standard HTTP tools.
- [Data Catalog](https://knowledge.cloudquant.com/data-catalog/overview.md): Browse 70+ integrated financial, alternative, and economic datasets available through CloudQuant Data Liberator
- [Aligning Two Datasets Into One](https://knowledge.cloudquant.com/data-science-recipes/aligning-datasets.md): Strategies for merging two different time series datasets, handling timestamp misalignment, symbol mismatches, and frequency differences.
- [Extracting Parts of a Date or Time from a Timestamp](https://knowledge.cloudquant.com/data-science-recipes/date-time-extraction.md): Efficiently extract date and time components from timestamp strings in Python DataFrames using string slicing and pandas methods.
- [Downloading Very Large Datasets](https://knowledge.cloudquant.com/data-science-recipes/large-datasets.md): Chunk large time series queries into smaller segments to handle network instability and avoid timeouts when downloading market data.
- [Using Market Calendar (mcal) to Identify Trading Dates](https://knowledge.cloudquant.com/data-science-recipes/market-calendar.md): Programmatically determine trading dates using the pandas_market_calendars library for NYSE, CME, CBOE, NASDAQ, and other exchanges.
- [Melt and Wide to Long - Unpivoting a Pivot](https://knowledge.cloudquant.com/data-science-recipes/melt-and-unpivot.md): Convert DataFrames from wide to long format using pandas melt and wide_to_long methods.
- [A Merge or Join](https://knowledge.cloudquant.com/data-science-recipes/merge-and-join.md): Combine two DataFrames by columns using pandas merge, join, and merge_asof operations.
- [Summarizing Data with a Pivot Table](https://knowledge.cloudquant.com/data-science-recipes/pivot-tables.md): Use pandas pivot tables to summarize, reorganize, and explore large market datasets by aggregating data into meaningful categories.
- [Python Data Science Shortcuts and Snippets](https://knowledge.cloudquant.com/data-science-recipes/shortcuts-and-snippets.md): Practical Python solutions for common data science challenges when working with DataFrames and market data.
- [SuperQuery](https://knowledge.cloudquant.com/data-science-recipes/superquery.md): Resample pandas DataFrames from CloudQuant Data Liberator into a common time axis by querying multiple datasets simultaneously.
- [Azure Blob Storage](https://knowledge.cloudquant.com/datasource-config/azure-blob.md): Configure Azure Blob Storage datasources
- [CIFS/SMB](https://knowledge.cloudquant.com/datasource-config/cifs.md): Configure Windows/Samba network share datasources
- [FTPS](https://knowledge.cloudquant.com/datasource-config/ftps.md): Configure FTP over TLS/SSL datasources
- [Local File (CSV/TSV)](https://knowledge.cloudquant.com/datasource-config/local-file.md): Configure local or mounted file datasources for CloudQuant Data Liberator
- [SQL Server (MSSQL)](https://knowledge.cloudquant.com/datasource-config/mssql.md): Configure Microsoft SQL Server datasources with ODBC support
- [MySQL](https://knowledge.cloudquant.com/datasource-config/mysql.md): Configure MySQL datasources with ODBC support
- [Oracle](https://knowledge.cloudquant.com/datasource-config/oracle.md): Configure Oracle Database datasources with Oracle database driver thin mode
- [Datasource Configuration Overview](https://knowledge.cloudquant.com/datasource-config/overview.md): Guide to configuring datasource connections in CloudQuant Data Liberator
- [PostgreSQL](https://knowledge.cloudquant.com/datasource-config/postgresql.md): Configure PostgreSQL datasources with high-performance native driver support
- [Amazon S3](https://knowledge.cloudquant.com/datasource-config/s3.md): Configure S3 or S3-compatible object storage datasources
- [SFTP](https://knowledge.cloudquant.com/datasource-config/sftp.md): Configure SFTP datasources
- [Snowflake](https://knowledge.cloudquant.com/datasource-config/snowflake.md): Configure Snowflake datasources with native high-performance driver
- [Azure Blob Storage](https://knowledge.cloudquant.com/integrations/azure-blob-storage.md): Retrieving access keys for Azure Blob Storage connections with CloudQuant Data Liberator
- [S3 Bucket Setup](https://knowledge.cloudquant.com/integrations/s3-bucket-setup.md): How to set up your S3 bucket so that CloudQuant Data Liberator can connect and read data from it
- [Introduction](https://knowledge.cloudquant.com/introduction.md): Welcome to the CloudQuant Documentation - your comprehensive guide to the CloudQuant Data Liberator data platform
- [Network Configuration](https://knowledge.cloudquant.com/network-configuration.md): Configure your network environment for CloudQuant Data Liberator access
- [CloudQuant Data Liberator Overview](https://knowledge.cloudquant.com/overview.md): Understanding the CloudQuant Data Liberator data platform architecture and capabilities
- [Understanding as_of and back_to](https://knowledge.cloudquant.com/python-guide/as-of-and-back-to.md): Learn how the as_of and back_to parameters work with point-in-time datasets in CloudQuant Data Liberator.
- [Usage of the as_of Parameter](https://knowledge.cloudquant.com/python-guide/as-of-parameter.md): How to use the as_of parameter to retrieve data as it was known at a particular point in time.
- [Usage of the back_to Parameter](https://knowledge.cloudquant.com/python-guide/back-to-parameter.md): How to use the back_to parameter to define the start of a time range in CloudQuant Data Liberator queries.
- [Batch Downloading Data](https://knowledge.cloudquant.com/python-guide/batch-downloading.md): How to efficiently download large datasets from CloudQuant Data Liberator using batch processing and chunked downloads.
- [Selecting Specific Columns](https://knowledge.cloudquant.com/python-guide/column-selection.md): How to use the fields parameter to restrict which columns are returned in CloudQuant Data Liberator query results.
- [Checking Dataset Access](https://knowledge.cloudquant.com/python-guide/dataset-access.md): How to discover which datasets you have access to and view their schemas and descriptions.
- [Getting Started with CloudQuant Data Liberator for Python](https://knowledge.cloudquant.com/python-guide/getting-started.md): Learn how to set up and configure the CloudQuant Data Liberator Python library to connect to CloudQuant's data platform.
- [Accessing Data from a Live Trading Environment](https://knowledge.cloudquant.com/python-guide/live-trading-environment.md): How to use CloudQuant Data Liberator data in live algorithmic trading environments, including data transfer strategies and live streaming.
- [Pulling Data into a Pandas DataFrame](https://knowledge.cloudquant.com/python-guide/pandas-dataframe.md): How to extract data from CloudQuant Data Liberator datasets into Python pandas DataFrames with practical examples.
- [Considerations When Submitting a Query](https://knowledge.cloudquant.com/python-guide/query-considerations.md): Important constraints, timestamp conventions, and best practices to understand before querying CloudQuant Data Liberator datasets.
- [Query Parameter Combinations](https://knowledge.cloudquant.com/python-guide/query-parameters.md): A summary of all CloudQuant Data Liberator query parameters and how different combinations affect the results you receive.
- [Symbols and Key Fields](https://knowledge.cloudquant.com/python-guide/symbols-and-key-fields.md): Understanding the symbol parameter in CloudQuant Data Liberator queries, how to discover available symbols, and how to query for all symbols in a dataset.
- [Security & Access](https://knowledge.cloudquant.com/security-and-access.md): CloudQuant Data Liberator security model, authentication, and access control

## OpenAPI Specs

- [openapi](https://knowledge.cloudquant.com/api-reference/openapi.json)

## Optional

- [Support](https://knowledge.cloudquant.com/tickets)