Series 16: Introduction to Data Science with NumPy and Pandas

This series covers the fundamentals of data science in Python using the NumPy and Pandas libraries.

Articles

• 121. Introduction to Data Science in Python
• 122. NumPy (Part 1): Introduction to NumPy arrays
• 123. NumPy (Part 2): Array indexing, slicing, and operations
• 124. Pandas (Part 1): Introduction to Series and DataFrames
• 125. Pandas (Part 2): Reading and writing data (CSV, Excel)
• 126. Pandas (Part 3): Data selection and indexing
• 127. Pandas (Part 4): Data cleaning and preparation
• 128. Pandas (Part 5): Grouping and aggregation