Do it yourself...

Python basics



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# TODO Create one string, int, float and boolean variable and print them out

Most basic Python string functions are:

len() - checks length of the string usage example:
```
len(string)
```
lower() - creates lower case string usage example:
```
string.lower()
```
upper() - creates upper case string usage example:
```
string.upper()
```
str() - creates string / implicit string conversion usage example:
```
str(string)
```



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# TODO Check what above given functions will produce from following variables:
a = 'Some test string...'
b = 'WE ARE LEARNING...'
c = 123



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# TODO Concatenate all variables a, b and c into one and print it out



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# TODO String formatting, usefull for logging and debugging
print "The %s who %s %s!" % ("Knights", "say", "Ni")



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string1 = ' embedded string '
string2 = ' This is one string {}'.format(string1)
string2



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import random
# TODO print the biggest number from the three given bellow num1, num2 and num3
num1 = random.randint(1, 100) 
num2 = random.randint(1, 100) 
num3 = random.randint(1, 100)



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# TODO if number1 is bigger, print "number1 is bigger"
# if number2 is bigger, print "number2 is bigger"
# if they are equal, print "Numbers are equal, you had 1% chance to get this..."
number1 = random.randint(1, 100) 
number2 = random.randint(1, 100)



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# TODO if you are German and n is greater than m 
# print upper case lc variable otherwise
# print lower case up variable
n = random.randint(1, 100) 
m = random.randint(1, 100) 
german = ? (True/False)
lc = 'lower case string'
up = 'UPPER CASE STRING'



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# TODO remove false Beatle form the list
beatles = ["john","paul","george","ringo","stuart"]



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# TODO print out all the beatles with the loop



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# TODO make John and Ringo switch their places in the list



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# TODO So as a reminder the Beatles are John Lennon, Paul McCartney, George Harrison and Ringo Starr
# in that respect attach proper last name to every Beatle in the list



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# Now just execute this...
%run man.py

Data - Titanic data set

From a sample of the RMS Titanic data, we can see the various features present for each passenger on the ship:

Survived: Outcome of survival (0 = No; 1 = Yes)
Pclass: Socio-economic class (1 = Upper class; 2 = Middle class; 3 = Lower class)
Name: Name of passenger
Sex: Sex of the passenger
Age: Age of the passenger (Some entries contain NaN)
SibSp: Number of siblings and spouses of the passenger aboard
Parch: Number of parents and children of the passenger aboard
Ticket: Ticket number of the passenger
Fare: Fare paid by the passenger
Cabin: Cabin number of the passenger (Some entries contain NaN)
Embarked: Port of embarkation of the passenger (C = Cherbourg; Q = Queenstown; S = Southampton)

More about this data set can be found on Kaggle website.



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# TODO import proper Python libraries to examine and investigate Titanic data set
import matplotlib.pyplot as plt



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# TODO load Titanic training set. File name is titanic_train.csv
import pandas as pd
df = pd.read_csv('titanic_train.csv')

Data investigation



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# TODO Check does any column in Titanic data set contains NaN values



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# TODO Plot Pclass and Fare data distribution



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# TODO Count how many passangers are over 40 years



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# TODO Count how many men among passangers are over 40 years



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# TODO Count how many men among passangers are over 40 years survived



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# TODO Plot data distribution



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# TODO if children are considered to be under the age of 16, how many children were in Titanic



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# TODO How many men named Edward were among the passangers



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# TODO experiment yourself a bit ;-)



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