Ravindra BagaleCourses & study guides

4. NumPy Essentials

Chala mitrano, aaj aapan NumPy arrays thodkat baghuya. pandas DataFrame khali NumPy asto — mhanun dtypes, vectorised ops aani shape samjne important aahe. Deep NumPy course nahi; fakt data work sathi.

What you will learn in this chapter

  • Create 1-D and 2-D NumPy arrays
  • dtypes and why they matter for money columns
  • Vectorised math vs Python for-loops
  • How pandas uses NumPy under the hood

Fictional data

Blinkit / Amazon Now figures in this chapter are fictional sample data for learning only. They do not show real company numbers.

Concepts in this chapter

  1. 4.1Arrays and Shape
  2. 4.2dtypes
  3. 4.3Why pandas Sits on NumPy

The chapter recap is at the end of the last concept page.