LEARN PANDAS Master Data Manipulation, Integration, and Automation in Real-World Projects

This book is intended for students and professionals seeking to master data manipulation, integration, and automation with Pandas and Python in productive environments, covering everything from environment setup to the delivery of reliable and scalable pipelines. It covers efficient reading and writing (CSV, Parquet, Excel, SQL, APIs), advanced data transformation, validation, profiling, performance optimization, versioning, automation, and integration with essential frameworks for data engineering, cloud, and machine learning, always focusing on governance and compliance.

Includes:

- Python, pandas, pyarrow, venv environment setup

- Data ingestion and export: CSV, Parquet, Excel, SQLAlchemy, APIs, cloud integration

- Advanced transformations: merge, groupby, pivot, rolling, reshape, optimized categoricals

- Optimization: vectorization, chunking, Dask, Modin, numexpr, memory profiling

- Validation and auditing: Pandera, Great Expectations, automated testing, DVC

- Pipeline integration: Airflow, Prefect, automation, monitoring, versioning

- Best practices for governance, compliance, and scalable operations

Expand your expertise by delivering professional and robust solutions for data automation, integration, and orchestration, enhancing the efficiency, security, and value of projects in corporate, cloud, and machine learning environments.

pandas, python, data engineering, data pipeline, pyarrow, parquet, dask, modin, sqlalchemy, airflow, prefect, great-expectations, dvc, etl, automation, cloud, data analysis, compliance, performance