[pull] master from vinta:master

CODE_OF_CONDUCT.md

@@ -0,0 +1,40 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity and
+orientation.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment:
+
+- Using welcoming and inclusive language
+- Being respectful of differing viewpoints and experiences
+- Gracefully accepting constructive criticism
+- Focusing on what is best for the community
+- Showing empathy towards other community members
+
+Examples of unacceptable behavior:
+
+- The use of sexualized language or imagery
+- Trolling, insulting or derogatory comments
+- Public or private harassment
+- Publishing others' private information without permission
+- Other conduct which could reasonably be considered inappropriate
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the project maintainers. All complaints will be reviewed and
+investigated and will result in a response that is deemed necessary and
+appropriate to the circumstances.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org),
+version 2.0.

README.md

@@ -469,28 +469,29 @@ _Libraries for serializing complex data types._
 
 _Libraries for data analysis._
 
+- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
+- [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
+- [data-profiling](https://github.com/Data-Centric-AI-Community/data-profiling) - Generate detailed data profiling reports for pandas DataFrames.
+- [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
+- [ibis](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
+- [modin](https://github.com/modin-project/modin) - A drop-in pandas replacement that scales workflows by changing a single line of code.
+- [pandas](https://github.com/pandas-dev/pandas) - A library providing high-performance, easy-to-use data structures and data analysis tools.
+- [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows.
+- [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
+
+
+### Data Ingestion / ETL
+
+_Libraries for data extraction, transformation, and loading pipelines across multiple sources and destinations._
+
 - General
-  - [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
-  - [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
-  - [data-profiling](https://github.com/Data-Centric-AI-Community/data-profiling) - Generate detailed data profiling reports for pandas DataFrames.
-  - [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
-  - [ibis](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
-  - [modin](https://github.com/modin-project/modin) - A drop-in pandas replacement that scales workflows by changing a single line of code.
-  - [pandas](https://github.com/pandas-dev/pandas) - A library providing high-performance, easy-to-use data structures and data analysis tools.
-  - [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows.
-  - [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
+  - [dlt](https://github.com/dlt-hub/dlt) - A Python library for building data pipelines with automatic schema inference, incremental loading, and support for multiple sources and destinations.
 - Financial Data
   - [akshare](https://github.com/akfamily/akshare) - A financial data interface library, built for human beings!
   - [edgartools](https://github.com/dgunning/edgartools) - Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
   - [lumibot](https://github.com/Lumiwealth/lumibot) - Algorithmic trading framework for backtesting and live deployment across stocks, options, crypto, futures, and forex.
   - [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
   - [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
-
-### Data Ingestion / ETL
-
-_Libraries for extracting data from external sources and loading it into databases, warehouses, and lakehouses._
-
-- [dlt](https://github.com/dlt-hub/dlt) - A Python library for building data pipelines with automatic schema inference, incremental loading, and support for multiple sources and destinations.
 
 ### Data Validation