Introduction to Python for Data Analysis

Contenido del Curso

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2

First Step in Programming Deal with Variables Practice Math Skills Challenge Deal with Percents How to Attract One User?Challenge Learn Numbers Boolean Numbers Challenge Work with Strings Get Familiar with Lists How to Append New Element?

2. Introduction to Python 2/2

If/Else Challenge If/Elif/Else Challenge For Loop While Loop Challenge

3. Explore Dataset

Data Study Operations with the File How to Explore the Data Sorting Data Max, min, mean, median Challenge Group Data Dive Deeper into Grouping Data Group Data 2.0 Introduction to NumPy Pivot Tables Recall Loops .loc Function Deal with Several Conditions Challenge Visualization: First Steps Dive Deeper into Visualization

4. Becoming an Analyst

Data Study Examine Dataset Challenge СAC 1/2 CAC 2/2 Costly Customers Organic Traffic How Much Do We Earn Is Our Project Profitable? ROI 1/2 ROI 2/2 Visualize ROI

Work with Strings

Strings are the standard way to store text. We can use it for storing users' emails, names, etc. You can keep it in different ways.

The first way is:


              12
            
string = 'Strings are easy'
print(string)

The second way is:


              12
            
string = "Strings are easy"
print(string)

The third way is:


              1234
            
string = '''
Strings are easy
'''
print(string)

The fourth way is:


              1234
            
string = """
Strings are easy
"""
print(string)

The first two ways are the most common, and the third and the fourth are used for storing several lines of code.

If you want to put a quotation mark inside the quotes, you can put an ordinary quotation mark inside a double one or vice versa.


              1234
            
string_1 = "I've never learned Python"
string_2 = 'I"ve never learned Python'
print(string_1)
print(string_2)

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 1. Capítulo 11

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Contenido del Curso

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2

First Step in Programming Deal with Variables Practice Math Skills Challenge Deal with Percents How to Attract One User?Challenge Learn Numbers Boolean Numbers Challenge Work with Strings Get Familiar with Lists How to Append New Element?

2. Introduction to Python 2/2

If/Else Challenge If/Elif/Else Challenge For Loop While Loop Challenge

3. Explore Dataset

Data Study Operations with the File How to Explore the Data Sorting Data Max, min, mean, median Challenge Group Data Dive Deeper into Grouping Data Group Data 2.0 Introduction to NumPy Pivot Tables Recall Loops .loc Function Deal with Several Conditions Challenge Visualization: First Steps Dive Deeper into Visualization

4. Becoming an Analyst

Data Study Examine Dataset Challenge СAC 1/2 CAC 2/2 Costly Customers Organic Traffic How Much Do We Earn Is Our Project Profitable? ROI 1/2 ROI 2/2 Visualize ROI

Work with Strings

Strings are the standard way to store text. We can use it for storing users' emails, names, etc. You can keep it in different ways.

The first way is:


              12
            
string = 'Strings are easy'
print(string)

The second way is:


              12
            
string = "Strings are easy"
print(string)

The third way is:


              1234
            
string = '''
Strings are easy
'''
print(string)

The fourth way is:


              1234
            
string = """
Strings are easy
"""
print(string)

The first two ways are the most common, and the third and the fourth are used for storing several lines of code.

If you want to put a quotation mark inside the quotes, you can put an ordinary quotation mark inside a double one or vice versa.


              1234
            
string_1 = "I've never learned Python"
string_2 = 'I"ve never learned Python'
print(string_1)
print(string_2)

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 1. Capítulo 11

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