Week 12: Closure

Contents

Week 12: Numpy and Matplotlib

Week 12: Closure#

Syllabus#

  • NumPy, a library for numeric computing in Python, especially when handling large arrays and matrices. By examples, we cover:

    • NumPy array, an \(n\)-dimensional array

    • Compact syntax

    • Vectorized NumPy operators, for example + , *

    • NumPy functions for element-wise operations: numpy.sqrt() , numpy.exp() , numpy.sin() , numpy.abs()

    • Other functions and methods: numpy.mean() , numpy.std()

    • Indexing, slicing, and boolean indexing

    • NumPy arrays are mutable

    • Preallocation

  • Matplotlib, a library for scientific visualization in Python. By examples, we cover:

    • Line plots

    • Bar plots

    • Labels

    • Legends

    • Titles

    • Text

Contents