Session on data manipulation with pandas.
talk-data.com
Topic
Pandas
data_manipulation
data_analysis
python
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Pandas basics, Series, and DataFrame structures, loading/saving data, data selection, and filtering.
In this hands-on workshop, you will build a complete machine learning pipeline—from raw data to model evaluation. You will learn to: Prepare and clean data using NumPy and Pandas; Handle missing values with imputation techniques; Apply data transformation methods for effective modeling; Train linear models with hyperparameter tuning; Use cross-validation to assess and improve model performance.
A beginner-friendly workshop exploring how Python and pandas can revolutionize data analysis. Learn to analyze data efficiently, automate repetitive tasks, and handle larger datasets. We'll replicate and surpass Excel functionality in Python, with an introduction to Pandas AI for querying datasets in natural language.
A hands-on tutorial for the Python pandas library covering data manipulation, cleaning, integration, and wrangling of tabular data.
Speaker: Aditya Parameswaran (Ponder, UC Berkeley) Slides: https://blobs.duckdb.org/events/duckcon3/aditya-parameswaran-ponder-pandas-on-duckdb-with-ponder.pdf