Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Lære Using Modules | Functions and Modules
Introduction to Data Analysis in Python
course content

Kursusindhold

Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
What is Python?Hello, Python!CommentsChallengeMath SkillsVariablesNaming Rules and Conventions
2. Data Types
Data Types in PythonNumeric TypesWhat is a String?Multiline StringsConcatenationAccessing String ElementsWhat is a List?Updating Lists
3. Control Flow
Boolean TypeIf/else StatementsIndentationIf/elif/elseChallenge 1Challenge 2For LoopIncrementing and DecrementingWhile Loop
4. Functions and Modules
Built-in FunctionsImporting ModulesUsing ModulesChallengeDefining FunctionsChallengeLambda Functions
5. Introduction to NumPy
What is the NumPy?NumPy ArraysArrays OperationsAggregate Functions2-D ArraysAggregating in 2-D Arrays

book
Using Modules

Libraries that you will use provide creating objects of new types with new properties, methods, attributes. Each library has specific documentation with explanations on methods/attrbites/classes provided. Let's remind what methods and objects are.

A method is a function that 'belongs to' an object.

An object is simply a collection of data (variables) and methods (functions) that act on those data.

Some libraries may also export constants - values that don't change during a program's execution. For example,


              
12345678910

            
# Importing library
from datetime import date
# Create new 'date' object
d = date(2022, 10, 10)
# Applying method to object
print(d.isoformat())
# Object attribute
print(d.month)
# Library constant
print(datetime.UTC)
copy

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 3

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
What is Python?Hello, Python!CommentsChallengeMath SkillsVariablesNaming Rules and Conventions
2. Data Types
Data Types in PythonNumeric TypesWhat is a String?Multiline StringsConcatenationAccessing String ElementsWhat is a List?Updating Lists
3. Control Flow
Boolean TypeIf/else StatementsIndentationIf/elif/elseChallenge 1Challenge 2For LoopIncrementing and DecrementingWhile Loop
4. Functions and Modules
Built-in FunctionsImporting ModulesUsing ModulesChallengeDefining FunctionsChallengeLambda Functions
5. Introduction to NumPy
What is the NumPy?NumPy ArraysArrays OperationsAggregate Functions2-D ArraysAggregating in 2-D Arrays

book
Using Modules

Libraries that you will use provide creating objects of new types with new properties, methods, attributes. Each library has specific documentation with explanations on methods/attrbites/classes provided. Let's remind what methods and objects are.

A method is a function that 'belongs to' an object.

An object is simply a collection of data (variables) and methods (functions) that act on those data.

Some libraries may also export constants - values that don't change during a program's execution. For example,


              
12345678910

            
# Importing library
from datetime import date
# Create new 'date' object
d = date(2022, 10, 10)
# Applying method to object
print(d.isoformat())
# Object attribute
print(d.month)
# Library constant
print(datetime.UTC)
copy

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 3
Vi beklager, at noget gik galt. Hvad skete der?
some-alt