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Introduction to Data Analysis in Python
course content

Kursinhalt

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
Arrays Operations

NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.

For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.


              
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# Import the library
import numpy as np
# Creating two arrays
arr1 = np.array([1, 2, 3])
arr2 = np.array([10, 20, 30])

# Perform some arrays operations
print(arr1 + 3)
print(arr1 * arr2)
copy

War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 5. Kapitel 3

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course content

Kursinhalt

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
Arrays Operations

NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.

For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.


              
123456789

            
# Import the library
import numpy as np
# Creating two arrays
arr1 = np.array([1, 2, 3])
arr2 = np.array([10, 20, 30])

# Perform some arrays operations
print(arr1 + 3)
print(arr1 * arr2)
copy

War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 5. Kapitel 3
Wir sind enttäuscht, dass etwas schief gelaufen ist. Was ist passiert?
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