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

Kursinnehåll

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 allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 5. Kapitel 1

Fråga AI

expand
ChatGPT

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

course content

Kursinnehåll

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 allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 5. Kapitel 1
Vi beklagar att något gick fel. Vad hände?
some-alt