Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lære What is the NumPy? | Introduction to NumPy
Introduction to Data Analysis in Python
course content

Kursusindhold

Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
2. Data Types
3. Control Flow
4. Functions and Modules
5. Introduction to NumPy

book
What is the NumPy?

NumPy (Numerical Python) is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects, and many fast operations on arrays (including statistics, linear algebra, sorting, transforming, and much more).

To get started with NumPy, you need to import this library. A common convention is to use the np alias: import numpy as np.

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 5. Kapitel 1

Spørg AI

expand
ChatGPT

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

course content

Kursusindhold

Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
2. Data Types
3. Control Flow
4. Functions and Modules
5. Introduction to NumPy

book
What is the NumPy?

NumPy (Numerical Python) is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects, and many fast operations on arrays (including statistics, linear algebra, sorting, transforming, and much more).

To get started with NumPy, you need to import this library. A common convention is to use the np alias: import numpy as np.

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 5. Kapitel 1
Vi beklager, at noget gik galt. Hvad skete der?
some-alt