Python Programming Training Certification
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100 Assignments
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Course Overview
Python is one of the world’s top programming languages used today and Python training has become the most popular training across individuals. Training Basket’s Python Training & Certification course covers basic and advanced Python concepts and how to apply them in real-world applications.Python is a flexible and powerful open-source language that is easy to learn and consists of powerful libraries for data analysis and manipulation. Our Python training course content is curated by experts as per the standard Industry curriculum. The curriculum, coding challenges and real-life problems cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django. Take this Python training and certification course and become job-ready now.
Python Literals
Python supports the following literals:
1. String literals:
String literals can be formed by enclosing a text in the quotes. We can use both single as well as double quotes to create a string.
Example:
- “Aman” , ‘12345’
Types of Strings:
There are two types of Strings supported in Python:
a) Single-line String- Strings that are terminated within a single-line are known as Single line Strings.
Example:
- “Aman” , ‘12345’
Types of Strings:
There are two types of Strings supported in Python:
a) Single-line String- Strings that are terminated within a single-line are known as Single line Strings.
Example:
- text1=’hello’
b) Multi-line String – A piece of text that is written in multiple lines is known as multiple lines string.
There are two ways to create multiline strings:
1) Adding black slash at the end of each line.
Example:
- text1=’hello\
user’
print(text1)
- ‘hellouser’
2) Using triple quotation marks:-
Example:
- str2=””’welcome
to
SSSIT”’
print str2
Output:
- welcome
to
SSSIT
II. Numeric literals:
Numeric Literals are immutable. Numeric literals can belong to following four different numerical types.
| Int(signed integers) | Long(long integers) | float(floating point) | Complex(complex) |
|---|---|---|---|
| Numbers( can be both positive and negative) with no fractional part.eg: 100 | Integers of unlimited size followed by lowercase or uppercase L eg: 87032845L | Real numbers with both integer and fractional part eg: -26.2 | In the form of a+bj where a forms the real part and b forms the imaginary part of the complex number. eg: 3.14j |
Example – Numeric Literals
- x = 0b10100 #Binary Literals
y = 100 #Decimal Literal
z = 0o215 #Octal Literal
u = 0x12d #Hexadecimal Literal#Float Literal
float_1 = 100.5
float_2 = 1.5e2#Complex Literal
a = 5+3.14jprint(x, y, z, u)
print(float_1, float_2)
print(a, a.imag, a.real)
Output:
- 20 100 141 301
100.5 150.0
(5+3.14j) 3.14 5.0
III. Boolean literals:
A Boolean literal can have any of the two values: True or False.
Example – Boolean Literals
- x = (1 == True)
y = (2 == False)
z = (3 == True)
a = True + 10
b = False + 10print(“x is”, x)
print(“y is”, y)
print(“z is”, z)
print(“a:”, a)
print(“b:”, b)
Output:
- x is True
y is False
z is False
a: 11
b: 10
IV. Special literals.
Python contains one special literal i.e., None.
None is used to specify to that field that is not created. It is also used for the end of lists in Python.
Example – Special Literals
- val1=10
val2=None
print(val1)
print(val2)
Output:
- 10
None
V. Literal Collections.
Python provides the four types of literal collection such as List literals, Tuple literals, Dict literals, and Set literals.
List:
- List contains items of different data types. Lists are mutable i.e., modifiable.
- The values stored in List are separated by comma(,) and enclosed within square brackets([]). We can store different types of data in a List.
Example – List literals
- list=[‘John’,678,20.4,’Peter’]
list1=[456,’Andrew’]
print(list)
print(list + list1)
Output:
- [‘John’, 678, 20.4, ‘Peter’]
[‘John’, 678, 20.4, ‘Peter’, 456, ‘Andrew’]
Dictionary:
- Python dictionary stores the data in the key-value pair.
- It is enclosed by curly-braces {} and each pair is separated by the commas(,).
Example
- dict = {‘name’: ‘Pater’, ‘Age’:18,’Roll_nu’:101}
print(dict)
Output:
- {‘name’: ‘Pater’, ‘Age’: 18, ‘Roll_nu’: 101}
Tuple:
- Python tuple is a collection of different data-type. It is immutable which means it cannot be modified after creation.
- It is enclosed by the parentheses () and each element is separated by the comma(,).
Example
- tup = (10,20,”Dev”,[2,3,4])
print(tup)
Output:
- (10, 20, ‘Dev’, [2, 3, 4])
Set:
- Python set is the collection of the unordered dataset.
- It is enclosed by the {} and each element is separated by the comma(,).
Example: – Set Literals
- set = {‘apple’,’grapes’,’guava’,’papaya’}
print(set)
Output:
- {‘guava’, ‘apple’, ‘papaya’, ‘grapes’}
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