This document discusses strings and lists in Python. It covers:
- Strings are immutable sequences of characters that can be indexed and sliced.
- Lists are mutable sequences that can store multiple data types and be modified using methods like append(), insert(), and extend().
- Common string methods like isupper(), lower(), upper() are used to manipulate string cases.
This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
Slides for Lecture 3 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
Strings useful string operations.
This is presentation, that covers all the important topics related to strings in python. It covers storing, slicing, format, concatenation, modification, escape characters and string methods.
The file attatched also includes examples related to the slides shown.
Slides for Lecture 3 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
Strings useful string operations.
This is a power point presentation based on the entire concept of STRINGS IN PYTHON PROGRAMMING.
The presentation is proofread and error free. This is open sourced and free to use without any license. If it helpful let me know.... : )
In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.
Here we learn Python strings methods in the hope that it will meet your educational needs.
There are a number of Python built-in methods that can be used to manipulate strings.
There is one thing to keep in mind when using string methods: they all return new values. In other words, they do not change the original string in any way.
It is imperative to note that Python strings methods return rewritten values. The original string remains unchanged.
Python Strings Tutorial explains strings in more detail.
The following is an in-depth explanation of Python Strings Methods, with examples for each method.
Capitalize() method generates a string with the first character in upper case, and the remaining characters in lower case.
This is a power point presentation based on the entire concept of STRINGS IN PYTHON PROGRAMMING.
The presentation is proofread and error free. This is open sourced and free to use without any license. If it helpful let me know.... : )
In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.
Here we learn Python strings methods in the hope that it will meet your educational needs.
There are a number of Python built-in methods that can be used to manipulate strings.
There is one thing to keep in mind when using string methods: they all return new values. In other words, they do not change the original string in any way.
It is imperative to note that Python strings methods return rewritten values. The original string remains unchanged.
Python Strings Tutorial explains strings in more detail.
The following is an in-depth explanation of Python Strings Methods, with examples for each method.
Capitalize() method generates a string with the first character in upper case, and the remaining characters in lower case.
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2. String
A String is a data structure in Python that
represents a sequence of characters. It is an
immutable data type, meaning that once you
have created a string, you cannot change it.
Strings are used widely in many different
applications, such as storing and manipulating
text data, representing names, addresses, and
other types of data that can be represented as
text.
Example:
"Geeksforgeeks" or 'Geeksforgeeks' or "a"
3. Creating a String in Python
Strings in Python can be created using single
quotes or double quotes or even triple quotes. Let
us see how we can define a string in Python.
Example:
In this example, we will demonstrate different
ways to create a Python String. We will create a
string using single quotes (‘ ‘), double quotes (” “),
and triple double quotes (“”” “””). The triple
quotes can be used to declare multiline strings in
Python.
4. Accessing characters in
Python String
In Python, individual characters of a String
can be accessed by using the method of
Indexing. Indexing allows negative address
references to access characters from the back of
the String, e.g. -1 refers to the last character, -2
refers to the second last character, and so on.
While accessing an index out of the range
will cause an IndexError. Only Integers are allowed
to be passed as an index, float or other types that
will cause a TypeError.
5. Example
In this example, we will define a string in
Python and access its characters using positive
and negative indexing. The 0th element will be
the first character of the string whereas the -1th
element is the last character of the string.
6. String Slicing
In Python, the String Slicing method is used to
access a range of characters in the String. Slicing
in a String is done by using a Slicing operator, i.e.,
a colon (:). One thing to keep in mind while using
this method is that the string returned after slicing
includes the character at the start index but not
the character at the last index.
7. Reversing a Python String
By accessing characters from a string, we
can also reverse strings in Python. We can Reverse
a string by using String slicing method.
8. Updating Entire String
As Python strings are immutable in nature, we
cannot update the existing string. We can only
assign a completely new value to the variable
with the same name.
9. Formatting of Strings
Strings in Python can be formatted with the
use of format() method which is a very versatile
and powerful tool for formatting Strings. Format
method in String contains curly braces {} as
placeholders which can hold arguments
according to position or keyword to specify the
order.
10. # Python Program for
# Formatting of Strings
# Default order
String1 = "{} {} {}".format('Geeks', 'For', 'Life')
print("Print String in default order: ")
print(String1)
# Positional Formatting
String1 = "{1} {0} {2}".format('Geeks', 'For', 'Life')
print("nPrint String in Positional order: ")
print(String1)
# Keyword Formatting
String1 = "{l} {f} {g}".format(g='Geeks', f='For', l='Life')
print("nPrint String in order of Keywords: ")
print(String1)
11. isupper() in Python
In Python, isupper() is a built-in method used for
string handling. This method returns “True” if all
characters in the string are uppercase, otherwise,
returns “False”.
It returns “True” for whitespaces but if there is only
whitespace in the string then returns “False”.
It does not take any arguments, Therefore,
It returns an error if a parameter is passed.
Digits and symbols return “True” but if the
string contains only digits and numbers
then returns “False”
This function is used to check if the argument
contains any uppercase characters such as:
12. islower() in Python
In Python, islower() is a built-in method used
for string handling. The islower() method
returns True if all characters in the string are
lowercase, otherwise, returns “False”.
It returns “True” for whitespaces but if there is only
whitespace in the string then returns “False”.
It does not take any arguments, Therefore, It
returns an error if a parameter is passed.
Digits and symbols return “True” but if the string
contains only digits and numbers then returns
“False”.
This function is used to check if the argument
contains any lowercase characters such as :
13.
14. upper() in Python
In Python, upper() is a built-in method used
for string handling. The upper() method returns the
uppercased string from the given string. It
converts all lowercase characters to uppercase. If
no lowercase characters exist, it returns the
original string.
It does not take any arguments, Therefore, It
returns an error if a parameter is passed. Digits
and symbols return are returned as it is, Only a
lowercase letter is returned after converting to
uppercase.
15. List
In Python, the sequence of various data types is
stored in a list. A list is a collection of different kinds of
values or items. Since Python lists are mutable, we
can change their elements after forming. The
comma (,) and the square brackets [enclose the
List's items] serve as separators.
Although six Python data types can hold sequences,
the List is the most common and reliable form. A list,
a type of sequence data, is used to store the
collection of data. Tuples and Strings are two similar
data formats for sequences.
Lists written in Python are identical to dynamically
scaled arrays defined in other languages, such as
Array List in Java and Vector in C++. A list is a
collection of items separated by commas and
denoted by the symbol [].
17. Characteristics of Lists
The lists are in order.
The list element can be accessed via the index.
The mutable type of List is
The rundowns are changeable sorts.
The number of various elements can be stored in
a list.
18. Python List Operations
In Python, List is a sequence. Hence, we can
concatenate two lists with "+" operator and
concatenate multiple copies of a list with "*"
operator. The membership operators "in" and "not
in" work with list object.
19. List methods in Python
Python List Methods has multiple methods to
work with Python lists, Below we’ve explained all
the methods you can use with Python lists, for
example, append(), copy(), insert(), and more.
20. Adding Element in List
Python append()
Used for appending and adding elements to the
List. It is used to add elements to the last position
of the List in Python.
Syntax: list.append (element)
21. Python insert()
Inserts an element at the specified position.
Syntax:
list.insert(<position, element)
22. Python extend()
Adds contents to List2 to the end of List1.
Syntax: List1.extend(List2)
