Learn NumPy Fundamentals (Python Library for Data Science)

All the basics to start using the python library NumPy
Rating: 4.4 out of 5 (774 ratings)
13,993 students
Learn NumPy Fundamentals (Python Library for Data Science)
Rating: 4.4 out of 5 (774 ratings)
14,004 students
Python
NumPy

Requirements

  • None
Description

Hello Everyone! In this course I'll cover the basics of using number and have several interactive course videos that will challenge you to learn how to use NumPy. I've always included a python course as well, but that's just bonus content (in case you haven't used python before.)


We'll cover:

- Why use NumPy?

- NumPy Arrays

-Array Math

- Array Indexing

- Advanced Indexing

- Broadcasting


& much more!

Who this course is for:
  • Beginner Python Students interested in NumPy
  • Beginner Data Scientists
Course content
3 sections • 30 lectures • 1h 49m total length
  • Introduction
    01:09
  • NumPy Overview
    00:59
  • Array Creation
    05:39
  • Array Creation (Optional Practice)
    03:50
  • Reshaping & Indexing
    04:25
  • Reshaping & Indexing (Optional Practice)
    04:28
  • Default Arrays
    03:54
  • Default Arrays (Optional Practice)
    04:45
  • Advanced Indexing
    06:31
  • Advanced Indexing (Optional Practice)
    07:26
  • Array Math
    04:59
  • Array Math (Optional Practice )
    05:00
  • Broadcasting
    03:12
  • Broadcasting (Optional Practice)
    03:13
  • Finishing Up & Next Steps
    01:15
  • Download & Set Up
    03:58
  • Syntax & Commenting
    03:32
  • Variables & Data Types
    04:12
  • Composite Data Types
    04:48
  • Numbers
    02:50
  • Lists
    04:23
  • Strings
    02:32
  • Tuples
    01:30
  • Sets
    03:27
  • Dictionaries
    03:01
  • If Statements
    03:06
  • While loops
    02:01
  • For Loops
    02:48
  • Functions
    02:19
  • Class Objects
    04:07

Instructor
Coffee Powered Coder
Derrick Sherrill
  • 4.3 Instructor Rating
  • 2,067 Reviews
  • 33,575 Students
  • 3 Courses

Experience across various industries and roles. I'm a passionate programmer and have a love of python, web design, and anything tech.

My online presence is to help other learn and I really enjoy making content that others enjoy - let me know what I can do to help you on your journey and I'll be happy to help you. Happy coding!