Reuven Lerner

Reuven Lerner, a freelancer and Python educator, shares insights on the transformative power of PyArrow in data science. He discusses how PyArrow's columnar format speeds up data processing and its compatibility with robust file formats. The conversation also touches on merging data importation techniques in Pandas and PyArrow, the interplay between Pandas and NumPy, and the performance benefits of modern data storage options like Parquet. Reuven emphasizes community engagement and the evolving role of large language models in programming.

Join a powerhouse panel featuring Gregory Kapfhammer, an expert in software engineering, Thomas Wouters, a key figure in Python's core development, Jodie Burchell, a data scientist at JetBrains, Brett Cannon, a seasoned Python developer at Microsoft, Reuven Lerner, a Python trainer, and Barry Warsaw, a veteran core contributor. They discuss the future of Python in 2025, exploring AI's evolving role, the impact of lazy imports and free-threading, and the need for improved community funding. Get insights on user experience enhancements and the balance between simplicity and debugging challenges.

Reuven Lerner, author of Pandas Workout, shares strategies for learning Pandas and Python, including workout exercises. Topics include challenges with app store reviews, coding style in pandas, efficient data categorization, outliers, and the importance of programming skills in diverse fields.