Basic Data Types in Python

Lesson 3 of 64 · Part 1 · Python & Data Basics · Python Fundamentals · bilingual notes (English + සිංහල)

Key principles

• Types decide what an operator means. "3" + "3" gives "33", but 3 + 3 gives 6. Same symbol, completely different result — because the types differ.
  Type එක තමයි operator එකේ තේරුම තීරණය කරන්නෙ

Walkthrough

Basic Data Types in Python:

1. Integer
2. Floating Point
3. Complex
4. Boolean
5. String

# integers
a = 8
print(a)

Output

8

type(a)

Output

int

# floating point
b = 2.3
print(b)
type(b)

Output

2.3

Output

float

# complex numbers
c = 1 + 3j
print(c)
type(c)

Output

(1+3j)

Output

complex

Conversion of one data type to another

# int to float
x = 10
print(x)
type(x)

Output

10

Output

int

y = float(x)
print(y)
type(y)

Output

10.0

Output

float

# float to int
x = 5.88
print(x)
type(x)

Output

5.88

Output

float

y = int(x)
print(y)
type(y)

Output

5

Output

int

Boolean

1. True
2. False

a = True
print(a)
type(a)

Output

True

Output

bool

b = False
print(b)
type(b)

Output

False

Output

bool

a = 7 < 3
print(a)
type(a)

Output

False

Output

bool

a = 7 > 3
print(a)
type(a)

Output

True

Output

bool

String

print("Machine Learning")

Output

Machine Learning

print('Machine Learning')

Output

Machine Learning

my_string = "Machine Learning"
print(my_string)
type(my_string)

Output

Machine Learning

Output

str

print("Hello"*5)

Output

HelloHelloHelloHelloHello

Slicing

my_string = "Programming"

print(my_string[1:5])    # values from index 1 to 5-1 will be sliced

Output

rogr

# step
print(my_string[0:10:2])

Output

Pormi

String Concatenation

word_1 = 'Machine '
word_2 = 'Learning'

print(word_1+word_2)

Output

Machine Learning

Keep going: ← Lesson 2 · Lesson 4 → · Track it in the Self Guide