Python PCEP Lists Collections of Data

May 17, 20210 likes94 views

This document discusses lists in Python. It begins by explaining that lists are collections of data that allow declaring multiple value variables. It then discusses how lists can be indexed and updated, with elements accessed using their integer index. Methods like append(), insert(), delete(), and len() are demonstrated for modifying and accessing lists. The document concludes by showing how lists can be iterated over using for loops and some examples of swapping elements to reorder lists.

Module 2
Data Collections – Lists, Tuples,
and Dictionaries
Lists - collections of data

Module 2 Lists - collections of data
Why do we need lists?
var1 = int(input())
var2 = int(input())
var3 = int(input())
var4 = int(input())
var5 = int(input())
var6 = int(input())
:
:
declare such
multi-value variables
numbers = [10, 5, 7, 2, 1]
List is a collection of elements, but each element is a scalar;
the elements in a list are always numbered starting from zero.

Module 2 Lists - collections of data
Indexing lists
numbers = [10, 5, 7, 2, 1]
print("Original list content:", numbers) # Printing original list content.
numbers[0] = 111
print("nPrevious list content:", numbers) # Printing previous list content.
numbers[1] = numbers[4] # Copying value of the fifth element to the second.
print("New list content:", numbers) # Printing current list content.
Original list content: [10, 5, 7, 2, 1]
Previous list content: [111, 5, 7, 2, 1]
New list content: [111, 1, 7, 2, 1]

Module 2 Lists - collections of data
Accessing list content
numbers = [10, 5, 7, 2, 1]
# Accessing the list's first element.
print(numbers[0])
numbers = [10, 5, 7, 2, 1]
# Printing the list's length.
print("List length:", len(numbers))
Each of the list's elements may be accessed separately.
List length: 5

Module 2 Lists - collections of data
Removing elements from a list
numbers = [10, 5, 7, 2, 1]
print("Original list content:", numbers) # Printing original list content.
numbers[0] = 111
print("nPrevious list content:", numbers) # Printing previous list content.
numbers[1] = numbers[4] # Copying value of the fifth element to the second.
print("Previous list content:", numbers) # Printing previous list content.
print("nList's length:", len(numbers)) # Printing previous list length.
###
del numbers[1] # Removing the second element from the list.
print("New list's length:", len(numbers)) # Printing new list length.
print("nNew list content:", numbers) # Printing current list content.
###
del: Any of the list's elements may be removed

Module 2 Lists - collections of data
Negative indices are legal
numbers = [111, 7, 2, 1]
print(numbers[-1])
print(numbers[-2])
1
2
an index -1 -> last one element in the list

Module 2 Lists - collections of data
Functions vs. methods
Function method
A method is a specific kind
of function;
Invocvation:
result =
function(arg)
Doesn't belong
to any data
Is owned by the
whole code
Function
Invocation:
result =
data.method(arg)
Is able to change
the state of a
selected entity
Is owned by the
data it works for
Method

Module 2 Lists - collections of data
append(), insert()
numbers = [111, 7, 2, 1]
print(len(numbers))
print(numbers)
numbers.append(4)
print(len(numbers))
print(numbers)
numbers.insert(0, 222)
print(len(numbers))
print(numbers)
my_list = [] # Creating an empty list.
for i in range(5):
my_list.append(i + 1)
print(my_list)
• new element
to the end of
the existing list
list.append(value)
• add a new
element at any
place
list.insert(location,
value)

Module 2 Lists - collections of data
Making use of lists
my_list = [10, 1, 8, 3, 5]
total = 0
for i in range(len(my_list)):
total += my_list[i]
print(total)
my_list = [10, 1, 8, 3, 5]
total = 0
for i in my_list:
total += i
print(total)
27 27

Module 2 Lists - collections of data
Lists in action
variable_1 = 1
variable_2 = 2
variable_2 = variable_1
variable_1 = variable_2
1 1
variable_1 = 1
variable_2 = 2
auxiliary = variable_1
variable_1 = variable_2
variable_2 = auxiliary
2 1
my_list = [10, 1, 8, 3, 5]
my_list[0], my_list[4] = my_list[4], my_list[0]
my_list[1], my_list[3] = my_list[3], my_list[1]
print(my_list)
[5, 3, 8, 1, 10]
my_list = [10, 1, 8, 3, 5]
length = len(my_list)
for i in range(length // 2):
my_list[i], my_list[length - i - 1] = my_list[length - i - 1], my_list[i]
[5, 3, 8, 1, 10]

Module 2 Lists - collections of data
Key takeaways
The list is a type of
data used to store
multiple objects.
Lists can be indexed
and updated.
List elements and lists
can be deleted.
Lists can be iterated
through using the
for loop.
The len() function: to
check the list's length Function, Method

Module 2 Lists - collections of data
21. The basics of lists
22. The basics of lists - the Beatles
LAB Practice

METHODS DESCRIPTION copy() They copy() method returns a shallow copy of the dictionary. clear() The clear() method removes all items from the dictionary. pop() Removes and returns an element from a dictionary having the given key. popitem() Removes the arbitrary key-value pair from the dictionary and returns it as tuple. get() It is a conventional method to access a value for a key. dictionary_name.values() returns a list of all the values available in a given dictionary. str() Produces a printable string representation of a dictionary. update() Adds dictionary dict2’s key-values pairs to dict setdefault() Set dict[key]=default if key is not already in dict keys() Returns list of dictionary dict’s keys items() Returns a list of dict’s (key, value) tuple pairs has_key() Returns true if key in dictionary dict, false otherwise fromkeys() Create a new dictionary with keys from seq and values set to value. type() Returns the type of the passed variable. cmp() Compares elements of both dict.

Sets in pythonbaabtra.com - No. 1 supplier of quality freshers

This document contains information about a mentoring program run by Baabtra-Mentoring Partner. It includes: - A disclaimer that this is not an official Baabtra document - A table showing a mentee's typing speed progress over 5 weeks - An empty table to track jobs applied to by the mentee - An explanation of sets in Python, including how to construct, manipulate, perform operations on, and iterate over sets - Contact information for Baabtra

List in PythonSiddique Ibrahim

Python listArchanaBhumkar

LIST IN PYTHONvikram mahendra

A list in Python is a collection of values or ordered sequence of values enclosed in square brackets and separated by commas. There are multiple ways to declare and initialize a list, including assigning values like [1,2,3] or using the list() constructor to create a list from other data types like strings. Lists can store heterogeneous data types like integers, strings, floats. Users can input values into lists at runtime using input() and eval() to properly identify the data types.

Python List ComprehensionsYos Riady

This document discusses Python list comprehensions as a more concise way to construct lists compared to traditional for loops. It provides an example of constructing a list of squares of even numbers using a for loop that appends to an empty list, and compares it to using a list comprehension with the same condition in one line. The list comprehension approach is described as cleaner and faster than the traditional method.

Unit 4 python -list methodsnarmadhakin

The document provides information on various list methods in Python like list creation, accessing items from lists, slicing lists, and common list methods like append(), count(), extend(), index(), insert(), pop(), copy(), remove(), reverse(), and sort(). It includes the syntax and examples to demonstrate how each method works on lists. Various programs are given to showcase inserting, removing, sorting, copying and reversing elements in lists using the different list methods.

Python listMohammed Sikander

Data type list_methods_in_pythondeepalishinkar1

Python list conceptDrJSaiGeetha

A list in Python is a mutable ordered collection of items. Lists allow duplicate elements and elements of any data type. Elements in a list are accessed using integers (indices) and operations on lists include appending, inserting, removing, sorting, and traversing elements. Common built-in list methods include append(), insert(), remove(), clear(), reverse(), sort(), and len() to get the length of the list.

List , tuples, dictionaries and regular expressions in pythonchanna basava

Python programming -Tuple and Set Data typeMegha V

This document discusses tuples, sets, and frozensets in Python. It provides examples and explanations of: - The basic properties and usage of tuples, including indexing, slicing, and built-in functions like len() and tuple(). - How to create sets using braces {}, that sets contain unique elements only, and built-in functions for sets like len(), max(), min(), union(), intersection(), etc. - Frozensets are immutable sets that can be used as dictionary keys, and support set operations but not mutable methods like add() or remove().

ListsLakshmi Sarvani Videla

This document provides an overview of lists in Python. It defines lists as ordered and changeable collections that allow duplicate elements. It describes how to create, access, modify, loop through, add and remove elements from lists. Built-in list methods like append(), pop(), sort(), count() and their usage are explained. The document also shows examples of sorting lists, removing failed grades, shuffling words to create anagrams, and reading/writing lists from user input.

Set methods in pythondeepalishinkar1

Sets are unordered collections of unique elements. Elements within a set cannot be accessed by index since sets are unordered. Common set operations include union, intersection, difference, and symmetric difference. Sets can be created using curly brackets or the set() function. Items can be added and removed from sets using methods like add(), remove(), discard(), and clear(). The length of a set can be determined using len(). Mathematical set relationships like subset, superset, and disjointness can be tested using methods like issubset(), issuperset(), and isdisjoint().

Arrays in pythonmoazamali28

Arrays in Python can hold multiple values and each element has a numeric index. Arrays can be one-dimensional (1D), two-dimensional (2D), or multi-dimensional. Common operations on arrays include accessing elements, adding/removing elements, concatenating arrays, slicing arrays, looping through elements, and sorting arrays. The NumPy library provides powerful capabilities to work with n-dimensional arrays and matrices.

Python setMohammed Sikander

Dictionaries and Sets in PythonRaajendra M

Arrays in pythonLifna C.S

Arrays in Python can be used to store collections of homogeneous data elements. There are two main ways to work with arrays in Python: using the array module or using NumPy. The array module allows users to create arrays of basic data types like integers while NumPy provides a more powerful N-dimensional array object and tools for scientific computing. Both support common array operations like accessing elements, slicing, concatenation, and more. NumPy arrays can also represent matrices and support linear algebra operations.

List,tuple,dictionarynitamhaske

The document discusses Python's four main collection data types: lists, tuples, sets, and dictionaries. It provides details on lists, including that they are ordered and changeable collections that allow duplicate members. Lists can be indexed, sliced, modified using methods like append() and insert(), and have various built-in functions that can be used on them. Examples are provided to demonstrate list indexing, slicing, changing elements, adding elements, removing elements, and built-in list methods.

Python Programming Essentials - M12 - ListsP3 InfoTech Solutions Pvt. Ltd.

The document discusses Python lists, which are ordered collections of items of any data type. It describes how to create, access, and modify lists using various functions and operations like append, insert, remove, sort, and slice. These include adding/removing elements, sorting/reversing lists, using lists as stacks with push/pop, and extracting sublist sections. The document provides examples of creating lists with different syntax, accessing elements by index, and using common list methods for operations.

Python programming : List and tuplesEmertxe Information Technologies Pvt Ltd

Python Workshop Part 2. LUG ManiaplAnkur Shrivastava

This document provides an introduction to Python data structures including lists, tuples, sets, and dictionaries. It describes how to define, access, and modify each type of data structure. It also covers file handling, string functions, exceptions, and other Python concepts. The key points are: - Lists are the most versatile data type and can contain elements of different types. They can be accessed by index, sliced, modified via assignments to slices. - Tuples are immutable sequences that are useful for grouping related data. They allow packing and unpacking of elements. - Sets store unique elements and support mathematical operations like union and intersection. - Dictionaries store mappings of unique keys to values. They allow

Arrays In Python | Python Array Operations | EdurekaEdureka!

** Python Certification Training: https://www.edureka.co/python ** This Edureka PPT on 'Arrays in Python' will help you establish a strong hold on all the fundamentals in the Python programming language. Below are the topics covered in this PPT: What is an array? Is python list same as an array? How to create arrays in python? Accessing array elements Basic array operations - Finding the length of an array - Adding Elements - Removing elements - Array concatenation - Slicing - Looping Python Tutorial Playlist: https://goo.gl/WsBpKe Blog Series: http://bit.ly/2sqmP4s Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

Python programming Part -6Megha V

Joc live sessionSIT Tumkur

Chapter 15 ListsPraveen M Jigajinni

The document discusses lists in Python. It begins by defining lists as mutable sequences that can contain elements of any data type. It describes how to create, access, manipulate, slice, traverse and delete elements from lists. It also explains various list methods such as append(), pop(), sort(), reverse() etc. and provides examples of their use. The document concludes by giving some programs on lists including finding the sum and maximum of a list, checking if a list is empty, cloning lists, checking for common members between lists and generating lists of square numbers.

Basic data structures in pythonCeline George

Basic data structures in pythonLifna C.S

This document provides an overview of basic data structures in Python including stacks, queues, deques, and linked lists. It describes each data structure as an abstract data type with common operations. Implementations of each data structure are provided using Python classes. The stack, queue, and deque classes implement the respective data structures using Python lists. The linked list class implements nodes to link elements and allow for traversal. Examples are given demonstrating usage of each data structure implementation.

Python-List.pptxAnitaDevi158873

This document provides information about Python lists. Some key points: - Lists can store multiple elements of any data type. They are versatile for working with multiple elements. - Lists maintain element order and allow duplicate elements. Elements are accessed via indexes. - Lists support operations like concatenation, membership testing, slicing, and methods to add/remove elements. - Nested lists allow lists within lists, for representing matrices and other complex data structures.

lists8.pptx of chapter 12 IP Basic Pythonkvpv2023

This document discusses lists in Python. It begins by defining lists as collections of items indexed from 0 to n-1, where n is the number of items. It then covers creating and initializing lists, accessing list items using indexes and slicing, updating and manipulating lists, adding and deleting items from lists, basic list operations, and important list methods. It provides examples for each topic and ends with some example programs involving lists like finding the largest/mean value in a list and linear search.

More Related Content

What's hot (20)

Data type list_methods_in_pythondeepalishinkar1

Python list conceptDrJSaiGeetha

List , tuples, dictionaries and regular expressions in pythonchanna basava

Python programming -Tuple and Set Data typeMegha V

ListsLakshmi Sarvani Videla

Set methods in pythondeepalishinkar1

Arrays in pythonmoazamali28

Python setMohammed Sikander

Dictionaries and Sets in PythonRaajendra M

Arrays in pythonLifna C.S

List,tuple,dictionarynitamhaske

Python Programming Essentials - M12 - ListsP3 InfoTech Solutions Pvt. Ltd.

Python programming : List and tuplesEmertxe Information Technologies Pvt Ltd

Python Workshop Part 2. LUG ManiaplAnkur Shrivastava

Arrays In Python | Python Array Operations | EdurekaEdureka!

Python programming Part -6Megha V

Joc live sessionSIT Tumkur

Chapter 15 ListsPraveen M Jigajinni

Basic data structures in pythonCeline George

Basic data structures in pythonLifna C.S

Data type list_methods_in_pythondeepalishinkar1

Python list conceptDrJSaiGeetha

List , tuples, dictionaries and regular expressions in pythonchanna basava

Python programming -Tuple and Set Data typeMegha V

ListsLakshmi Sarvani Videla

Set methods in pythondeepalishinkar1

Arrays in pythonmoazamali28

Python setMohammed Sikander

Dictionaries and Sets in PythonRaajendra M

Arrays in pythonLifna C.S

List,tuple,dictionarynitamhaske

Python Programming Essentials - M12 - ListsP3 InfoTech Solutions Pvt. Ltd.

Python programming : List and tuplesEmertxe Information Technologies Pvt Ltd

Python Workshop Part 2. LUG ManiaplAnkur Shrivastava

Arrays In Python | Python Array Operations | EdurekaEdureka!

Python programming Part -6Megha V

Joc live sessionSIT Tumkur

Chapter 15 ListsPraveen M Jigajinni

Basic data structures in pythonCeline George

Basic data structures in pythonLifna C.S

Similar to Python PCEP Lists Collections of Data (20)

Python-List.pptxAnitaDevi158873

lists8.pptx of chapter 12 IP Basic Pythonkvpv2023

Python _dataStructures_ List, Tuples, its functionsVidhyaB10

listppt.pptx h4wtgesvzdfvgsrbyhrrtgsvefcdefrajpalyadav13052024

Python lists & setsAswini Dharmaraj

The document discusses lists in Python. Some key points: - A list is a mutable ordered sequence of elements of any data type. Lists can be created using square brackets or the list() constructor. - List elements can be accessed using indexes and sliced. Methods like append(), insert(), pop() etc. are used to modify lists. - Lists support operations like membership testing, repetition, concatenation etc. Functions like len(), max(), min() etc. operate on lists. - Lists can be passed to and returned from functions. List comprehension provides a concise way to create lists. - Searching and sorting algorithms like linear search, binary search, bubble sort, selection sort can be

Module-2.pptxGaganRaj28

This document discusses lists and tuples in Python. It explains that lists are mutable containers that can hold heterogeneous data types and grow or shrink in size dynamically. Tuples are immutable containers that can also hold heterogeneous data types but have a fixed size after creation. The document covers how to define, access, slice, loop through and perform common operations on elements in lists and tuples. It also discusses built-in functions like len(), max(), min() that can operate on lists and tuples.

PYTHON-PROGRAMMING-UNIT-III.pptx kghbg kfhjf jruufg jtuufDeepakRattan3

Python Unit 5 Questions n Notes.pdfMCCMOTOR

The document discusses various concepts related to lists in Python including: - What lists are and their main properties like being ordered, containing arbitrary objects that can be accessed by index, and being nestable and mutable. - Common list methods like insert(), remove(), sort(), etc. - How to define and assign lists, access list elements, and modify lists. - List slicing and how it allows accessing a subset of list elements. - Passing lists to functions and how lists are mutable. - Algorithms for generating prime numbers and sorting lists like selection sort. - Basic searching algorithms like linear search and binary search and how they work. - The concept of list

The Ring programming language version 1.6 book - Part 24 of 189Mahmoud Samir Fayed

Introduction To Programming with Python-4Syed Farjad Zia Zaidi

This document provides an introduction to using lists in Python. It defines what lists are in Python, how to create, access, update, and delete list elements, and some common list operations. It also provides examples of creating lists, accessing values at different indices, updating and deleting elements, and using basic operators like addition and multiplication. Finally, it proposes three exercises involving lists to practice these concepts.

Chapter 3-Data structure in python programming.pptxatharvdeshpande20

GE3151_PSPP_UNIT_4_NotesGuru Nanak Technical Institutions

The document provides information about the course GE3151 Problem Solving and Python Programming. It includes the objectives of the course, which are to understand algorithmic problem solving and learn to solve problems using Python constructs like conditionals, loops, functions, and data structures. It also outlines the 5 units that will be covered in the course, which include computational thinking, Python basics, control flow and functions, lists/tuples/dictionaries, and files/modules. Example problems and programs are provided for different sorting algorithms, quadratic equations, and list operations.

Python PRACTICAL NO 6 for your Assignment.pptxNeyXmarXd

The document discusses various operations that can be performed on lists in Python. It includes: 1. Creating a list, accessing list items using indexes, adding and removing items to update lists, and deleting lists. 2. Examples of built-in list methods like sort(), count(), pop(), and operations like concatenation using +. 3. Justifications for lists being mutable - that list items can be changed in place and accessed using indexes. It then provides examples of Python programs to: sum all items in a list, multiply all items, find the largest/smallest item, reverse a list, find common items between two lists, and select even items from a list.

Brief Explanation On List and Dictionaries of Pythonnikhita4775

list in python and traversal of list.pptxurvashipundir04

Python Array Power Point Presentation.pptxMeowTwo2

Python for the data science most in cse.pptxRajasekhar364622

Python ListSoba Arjun

The Ring programming language version 1.8 book - Part 27 of 202Mahmoud Samir Fayed

The document discusses various methods for working with lists in Ring programming language. It covers creating, accessing, modifying, sorting and nested lists. Key points include using square brackets to define lists, the len() function to get list size, index starting from 1, and lists being mutable with elements modifiable by reference. Lists can also contain other lists to form multi-dimensional structures.

python_avw - Unit-03.pdfAshaWankar1

This document provides information about data structures in Python. It discusses lists, tuples, sets, and dictionaries. For lists and tuples, it covers defining, indexing, slicing, unpacking, methods, built-in functions, and list comprehensions. Lists can contain heterogeneous elements and support methods like append(), pop(), sort(), and reverse(). Tuples are similar to lists but are immutable ordered sequences. They also support indexing, slicing, and unpacking. This document serves as a guide to working with common Python data structures.

Python-List.pptxAnitaDevi158873

lists8.pptx of chapter 12 IP Basic Pythonkvpv2023

Python _dataStructures_ List, Tuples, its functionsVidhyaB10

listppt.pptx h4wtgesvzdfvgsrbyhrrtgsvefcdefrajpalyadav13052024

Python lists & setsAswini Dharmaraj

Module-2.pptxGaganRaj28

PYTHON-PROGRAMMING-UNIT-III.pptx kghbg kfhjf jruufg jtuufDeepakRattan3

Python Unit 5 Questions n Notes.pdfMCCMOTOR

The Ring programming language version 1.6 book - Part 24 of 189Mahmoud Samir Fayed

Introduction To Programming with Python-4Syed Farjad Zia Zaidi

Chapter 3-Data structure in python programming.pptxatharvdeshpande20

GE3151_PSPP_UNIT_4_NotesGuru Nanak Technical Institutions

Python PRACTICAL NO 6 for your Assignment.pptxNeyXmarXd

Brief Explanation On List and Dictionaries of Pythonnikhita4775

list in python and traversal of list.pptxurvashipundir04

Python Array Power Point Presentation.pptxMeowTwo2

Python for the data science most in cse.pptxRajasekhar364622

Python ListSoba Arjun

The Ring programming language version 1.8 book - Part 27 of 202Mahmoud Samir Fayed

python_avw - Unit-03.pdfAshaWankar1

More from IHTMINSTITUTE (19)

Python PCEP Tuples and DictionariesIHTMINSTITUTE

This document discusses tuples and dictionaries in Python. It begins by explaining that tuples and lists are sequence types that can be iterated over with a for loop, but that tuples are immutable while lists are mutable. It then defines tuples as ordered, unchangeable collections of data that can be created, accessed, and looped through. Dictionaries are described as unordered, mutable collections that contain key-value pairs and support operations like adding, removing, and accessing items. The document provides examples of creating, modifying, and looping through both tuples and dictionaries.

Python PCEP Tuples and DictionariesIHTMINSTITUTE

Python PCEP Creating Simple FunctionsIHTMINSTITUTE

The document discusses creating simple functions in Python. It provides examples of functions to calculate BMI, convert between units of measurement, check properties of triangles, calculate factorials and Fibonacci numbers, and evaluate triangles using Heron's formula. Recursive functions are also demonstrated, including a recursive implementation of the factorial function. Key takeaways are that functions can call other functions or themselves recursively, but recursive calls consume significant memory.

Python PCEP Functions And ScopesIHTMINSTITUTE

This document discusses functions and variable scopes in Python. It explains that a variable defined outside a function is accessible within the function but a variable defined inside a function is only accessible within the function's scope. It demonstrates how to extend the scope of a variable to the global scope using the global keyword. The key takeaways are that a variable outside a function is accessible inside unless redefined, a variable inside a function is only accessible within the function, and the global keyword makes a variable's scope global.

Python PCEP Function ParametersIHTMINSTITUTE

This document discusses function parameters and argument passing in Python. It explains that parameters exist only within the function they are defined in, and values are assigned when calling the function. It demonstrates positional, keyword, and mixed argument passing, and shows how default values can be set for parameters. Functions can be called by passing arguments in different orders or specifying keywords. Key points are that parameters transfer information to functions, and various argument passing techniques exist.

Python PCEP FunctionsIHTMINSTITUTE

Functions allow code to be reused, modularized, and organized. There are built-in, module, and user-defined functions. User-defined functions are defined using the def statement and consist of a function name followed by parentheses that can contain parameters. The function body is indented below the definition. When a function is called, its code is executed and returns to the caller. Functions allow breaking programs into smaller, reusable pieces of code.

Python PCEP Multidemensional ArraysIHTMINSTITUTE

This document discusses multidimensional arrays (lists) in Python. It shows how to create lists of lists to represent two-dimensional arrays like game boards. Nested for loops are used to initialize and populate these boards. Examples also demonstrate accessing elements in multidimensional lists using multiple indices. The document further explains how to represent three-dimensional arrays using lists of lists of lists, and concludes by emphasizing the use of nested lists to create matrices and n-dimensional arrays in Python.

Python PCEP Operations On ListsIHTMINSTITUTE

Python PCEP Sorting Simple ListsIHTMINSTITUTE

This document discusses sorting lists in Python. It provides an example of bubble sort to sort a sample list from [8, 10, 6, 2, 4] to increasing order. It then shows how to sort a list using a for loop to iterate through the list and swap adjacent elements if out of order. Finally, it notes that Python has a built-in .sort() method to easily sort lists from highest to lowest without needing to implement a bubble sort algorithm.

Python PCEP Logic Bit OperationsIHTMINSTITUTE

This document discusses logic and bitwise operations in computing. It introduces common logic operators like AND, OR, and NOT and their truth tables. It also covers bitwise operators like AND, OR, XOR, NOT, left and right shift. It provides examples of using these operators to check, set, reset, or negate single bits in binary representations. Finally, it reviews the priority of operators and key takeaways about using logical and bitwise operators to manipulate bits of data.

Python PCEP LoopsIHTMINSTITUTE

Python PCEP Comparison Operators And Conditional ExecutionIHTMINSTITUTE

This module covers comparison operators, conditional execution, and data structures in Python including lists, tuples, and dictionaries. It discusses Boolean logic, relational operators like equal and not equal, and conditional statements like if, if-else, and if-elif-else to make decisions in code. The module also covers looping constructs like while and for loops to repeat execution. Lists are discussed including constructing, indexing, slicing, and sorting lists. Multidimensional lists and their applications are also covered.

Python PCEP How To Talk To ComputerIHTMINSTITUTE

This document covers basic input and output in Python, including how to use the print() and input() functions. It discusses taking user input with input(), converting data types with functions like int() and float(), and string operators like concatenation and replication. The key takeaways are that print() sends output to the console, input() gets user input, and input() can optionally prompt the user. It concludes with congratulating the reader on completing the module objectives of learning Python's basic I/O, data types, variables, and operators.

Python PCEP VariablesIHTMINSTITUTE

This document covers variables in Python including: - What variables are and how to name them correctly using letters, digits and underscores while avoiding keywords - Creating variables by assigning a value using the equal sign - Reassigning values to existing variables and using shortcut operators - The key points that variables store values in memory, have unique names, Python is dynamically typed, and how to output text and variables.

Python PCEP OperatorsIHTMINSTITUTE

This document discusses operators and expressions in Python. It covers basic arithmetic operators like addition, subtraction, multiplication, division, and modulus. It also discusses exponentiation and how operators work with different data types, like integers and floats. Priority levels of operators are defined, with exponentiation having a higher priority than multiplication/division. Examples are provided to demonstrate how operators are used to evaluate expressions and how operator precedence impacts evaluation order.

Python PCEP LiteralsIHTMINSTITUTE

This document discusses Python literals including integers, floats, strings, Boolean values, and numerical representations. It covers: - Python literals represent fixed values in code like 123, 2.5, "string", True, and False. - Integers can also be represented in octal with a 0o prefix or hexadecimal with a 0x prefix. - Floats use a decimal point or exponent like 4.0, 3e8. - Strings are used to process text and can contain escape characters. - Boolean values represent true and false with True, False, 1 and 0. - Literals of different types are stored differently in memory.

IHTM Python PCEP Hello WorldIHTMINSTITUTE

This document introduces the print() function in Python for basic input and output operations, explaining that it takes arguments, converts them to a human-readable form, and sends the output to a device. It demonstrates how to use print() with strings, escape characters, multiple arguments, and keyword arguments like end and sep to format the output. The objective is to teach writing and running simple Python programs, using variables, operators, expressions, and performing basic I/O.

IHTM Python PCEP Introduction to PythonIHTMINSTITUTE

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It was created by Guido van Rossum and named after Monty Python. Python's goals include being easy to learn, read, and use for both simple and complex tasks. It is easy to understand, learn, obtain, teach, and use compared to other languages. While it is suitable for most tasks, it may not be the best choice for low-level programming or mobile applications. The main Python versions are Python 2 and Python 3, which are not compatible. Popular Python implementations include CPython, written in C; Cython to translate to C; Jython for the Java platform; and PyPy which uses a Python-like

Python PCEP Welcome OpeningIHTMINSTITUTE

This document outlines the syllabus for a Python certification preparation course. The course will cover universal programming concepts, the Python syntax and semantics, practical skills for implementing solutions, key elements of the Python standard library, and how to design, write, test and debug Python programs. It will introduce Python and cover topics like data types, I/O, loops, functions, tuples, dictionaries and data processing. The goal is to prepare students for several levels of Python certification.

Python PCEP Tuples and DictionariesIHTMINSTITUTE

Python PCEP Creating Simple FunctionsIHTMINSTITUTE

Python PCEP Functions And ScopesIHTMINSTITUTE

Python PCEP Function ParametersIHTMINSTITUTE

Python PCEP FunctionsIHTMINSTITUTE

Python PCEP Multidemensional ArraysIHTMINSTITUTE

Python PCEP Operations On ListsIHTMINSTITUTE

Python PCEP Sorting Simple ListsIHTMINSTITUTE

Python PCEP Logic Bit OperationsIHTMINSTITUTE

Python PCEP LoopsIHTMINSTITUTE

Python PCEP Comparison Operators And Conditional ExecutionIHTMINSTITUTE

Python PCEP How To Talk To ComputerIHTMINSTITUTE

Python PCEP VariablesIHTMINSTITUTE

Python PCEP OperatorsIHTMINSTITUTE

Python PCEP LiteralsIHTMINSTITUTE

IHTM Python PCEP Hello WorldIHTMINSTITUTE

IHTM Python PCEP Introduction to PythonIHTMINSTITUTE

Python PCEP Welcome OpeningIHTMINSTITUTE

Recently uploaded (19)

White and Red Clean Car Business Pitch Presentation.pptxcanumatown

Perguntas dos animais - Slides ilustrados de múltipla escolhasocaslev

(Hosting PHising Sites) for Cryptography and network securityaluacharya169

5-Proses-proses Akuisisi Citra Digital.pptxandani26

project_based_laaaaaaaaaaearning,kelompok 10.pptxredzuriel13

Computers Networks Computers Networks Computers NetworksTito208863

APNIC -Policy Development Process, presented at Local APIGA Taiwan 2025APNIC

APNIC Update, presented at NZNOG 2025 by Terry SweetserAPNIC

DNS Resolvers and Nameservers (in New Zealand)APNIC

Top Vancouver Green Business Ideas for 2025 Powered by 4GoodHostingsteve198109

Vancouver in 2025 is more than scenic views, yoga studios, and oat milk lattes—it’s a thriving hub for eco-conscious entrepreneurs looking to make a real difference. If you’ve ever dreamed of launching a purpose-driven business, now is the time. Whether it’s urban mushroom farming, upcycled furniture sales, or vegan skincare sold online, your green idea deserves a strong digital foundation. The 2025 Canadian eCommerce landscape is being shaped by trends like sustainability, local innovation, and consumer trust. To stay ahead, eco-startups need reliable hosting that aligns with their values. That’s where 4GoodHosting.com comes in—one of the top-rated Vancouver web hosting providers of 2025. Offering secure, sustainable, and Canadian-based hosting solutions, they help green entrepreneurs build their brand with confidence and conscience. As eCommerce in Canada embraces localism and environmental responsibility, choosing a hosting provider that shares your vision is essential. 4GoodHosting goes beyond just hosting websites—they champion Canadian businesses, sustainable practices, and meaningful growth. So go ahead—start that eco-friendly venture. With Vancouver web hosting from 4GoodHosting, your green business and your values are in perfect sync.

OSI TCP IP Protocol Layers description fcbr49917

Mobile database for your company telemarketing or sms marketing campaigns. Fr...DataProvider1

IT Services Workflow From Request to Resolutionmzmziiskd

highend-srxseries-services-gateways-customer-presentation.pptxelhadjcheikhdiop

Understanding the Tor Network and Exploring the Deep Webnabilajabin35

While the Tor network, Dark Web, and Deep Web can seem mysterious and daunting, they are simply parts of the internet that prioritize privacy and anonymity. Using tools like Ahmia and onionland search, users can explore these hidden spaces responsibly and securely. It’s essential to understand the technology behind these networks, as well as the risks involved, to navigate them safely. Visit https://torgol.com/

Reliable Vancouver Web Hosting with Local Servers & 24/7 Supportsteve198109

Looking for powerful and affordable web hosting in Vancouver? 4GoodHosting offers premium Canadian web hosting solutions designed specifically for individuals, startups, and businesses across British Columbia. With local data centers in Vancouver and Toronto, we ensure blazing-fast website speeds, superior uptime, and enhanced data privacy—all critical for your business success in today’s competitive digital landscape. Our Vancouver web hosting plans are packed with value—starting as low as $2.95/month—and include secure cPanel management, free domain transfer, one-click WordPress installs, and robust email support with anti-spam protection. Whether you're hosting a personal blog, business website, or eCommerce store, our scalable cloud hosting packages are built to grow with you. Enjoy enterprise-grade features like daily backups, DDoS protection, free SSL certificates, and unlimited bandwidth on select plans. Plus, our expert Canadian support team is available 24/7 to help you every step of the way. At 4GoodHosting, we understand the needs of local Vancouver businesses. That’s why we focus on speed, security, and service—all hosted on Canadian soil. Start your online journey today with a reliable hosting partner trusted by thousands across Canada.

Smart Mobile App Pitch Deck丨AI Travel App Presentation Templateyojeari421237

🚀 Smart Mobile App Pitch Deck – "Trip-A" | AI Travel App Presentation Template This professional, visually engaging pitch deck is designed specifically for developers, startups, and tech students looking to present a smart travel mobile app concept with impact. Whether you're building an AI-powered travel planner or showcasing a class project, Trip-A gives you the edge to impress investors, professors, or clients. Every slide is cleanly structured, fully editable, and tailored to highlight key aspects of a mobile travel app powered by artificial intelligence and real-time data. 💼 What’s Inside: - Cover slide with sleek app UI preview - AI/ML module implementation breakdown - Key travel market trends analysis - Competitor comparison slide - Evaluation challenges & solutions - Real-time data training model (AI/ML) - “Live Demo” call-to-action slide 🎨 Why You'll Love It: - Professional, modern layout with mobile app mockups - Ideal for pitches, hackathons, university presentations, or MVP launches - Easily customizable in PowerPoint or Google Slides - High-resolution visuals and smooth gradients 📦 Format: - PPTX / Google Slides compatible - 16:9 widescreen - Fully editable text, charts, and visuals

Best web hosting Vancouver 2025 for you businesssteve198109

Determining Glass is mechanical textileAzizul Hakim

White and Red Clean Car Business Pitch Presentation.pptxcanumatown

Perguntas dos animais - Slides ilustrados de múltipla escolhasocaslev

(Hosting PHising Sites) for Cryptography and network securityaluacharya169

5-Proses-proses Akuisisi Citra Digital.pptxandani26

project_based_laaaaaaaaaaearning,kelompok 10.pptxredzuriel13

Computers Networks Computers Networks Computers NetworksTito208863

APNIC -Policy Development Process, presented at Local APIGA Taiwan 2025APNIC

APNIC Update, presented at NZNOG 2025 by Terry SweetserAPNIC

DNS Resolvers and Nameservers (in New Zealand)APNIC

Top Vancouver Green Business Ideas for 2025 Powered by 4GoodHostingsteve198109

OSI TCP IP Protocol Layers description fcbr49917

Mobile database for your company telemarketing or sms marketing campaigns. Fr...DataProvider1

IT Services Workflow From Request to Resolutionmzmziiskd

highend-srxseries-services-gateways-customer-presentation.pptxelhadjcheikhdiop

Understanding the Tor Network and Exploring the Deep Webnabilajabin35

Reliable Vancouver Web Hosting with Local Servers & 24/7 Supportsteve198109

Smart Mobile App Pitch Deck丨AI Travel App Presentation Templateyojeari421237

Best web hosting Vancouver 2025 for you businesssteve198109

Determining Glass is mechanical textileAzizul Hakim

Python PCEP Lists Collections of Data

1. Module 2 Data Collections – Lists, Tuples, and Dictionaries Lists - collections of data

2. Module 2 Lists - collections of data Why do we need lists? var1 = int(input()) var2 = int(input()) var3 = int(input()) var4 = int(input()) var5 = int(input()) var6 = int(input()) : : declare such multi-value variables numbers = [10, 5, 7, 2, 1] List is a collection of elements, but each element is a scalar; the elements in a list are always numbered starting from zero.

3. Module 2 Lists - collections of data Indexing lists numbers = [10, 5, 7, 2, 1] print("Original list content:", numbers) # Printing original list content. numbers[0] = 111 print("nPrevious list content:", numbers) # Printing previous list content. numbers[1] = numbers[4] # Copying value of the fifth element to the second. print("New list content:", numbers) # Printing current list content. Original list content: [10, 5, 7, 2, 1] Previous list content: [111, 5, 7, 2, 1] New list content: [111, 1, 7, 2, 1]

4. Module 2 Lists - collections of data Accessing list content numbers = [10, 5, 7, 2, 1] # Accessing the list's first element. print(numbers[0]) numbers = [10, 5, 7, 2, 1] # Printing the list's length. print("List length:", len(numbers)) Each of the list's elements may be accessed separately. List length: 5

5. Module 2 Lists - collections of data Removing elements from a list numbers = [10, 5, 7, 2, 1] print("Original list content:", numbers) # Printing original list content. numbers[0] = 111 print("nPrevious list content:", numbers) # Printing previous list content. numbers[1] = numbers[4] # Copying value of the fifth element to the second. print("Previous list content:", numbers) # Printing previous list content. print("nList's length:", len(numbers)) # Printing previous list length. ### del numbers[1] # Removing the second element from the list. print("New list's length:", len(numbers)) # Printing new list length. print("nNew list content:", numbers) # Printing current list content. ### del: Any of the list's elements may be removed

6. Module 2 Lists - collections of data Negative indices are legal numbers = [111, 7, 2, 1] print(numbers[-1]) print(numbers[-2]) 1 2 an index -1 -> last one element in the list

7. Module 2 Lists - collections of data Functions vs. methods Function method A method is a specific kind of function; Invocvation: result = function(arg) Doesn't belong to any data Is owned by the whole code Function Invocation: result = data.method(arg) Is able to change the state of a selected entity Is owned by the data it works for Method

8. Module 2 Lists - collections of data append(), insert() numbers = [111, 7, 2, 1] print(len(numbers)) print(numbers) numbers.append(4) print(len(numbers)) print(numbers) numbers.insert(0, 222) print(len(numbers)) print(numbers) my_list = [] # Creating an empty list. for i in range(5): my_list.append(i + 1) print(my_list) • new element to the end of the existing list list.append(value) • add a new element at any place list.insert(location, value)

9. Module 2 Lists - collections of data Making use of lists my_list = [10, 1, 8, 3, 5] total = 0 for i in range(len(my_list)): total += my_list[i] print(total) my_list = [10, 1, 8, 3, 5] total = 0 for i in my_list: total += i print(total) 27 27

10. Module 2 Lists - collections of data Lists in action variable_1 = 1 variable_2 = 2 variable_2 = variable_1 variable_1 = variable_2 1 1 variable_1 = 1 variable_2 = 2 auxiliary = variable_1 variable_1 = variable_2 variable_2 = auxiliary 2 1 my_list = [10, 1, 8, 3, 5] my_list[0], my_list[4] = my_list[4], my_list[0] my_list[1], my_list[3] = my_list[3], my_list[1] print(my_list) [5, 3, 8, 1, 10] my_list = [10, 1, 8, 3, 5] length = len(my_list) for i in range(length // 2): my_list[i], my_list[length - i - 1] = my_list[length - i - 1], my_list[i] [5, 3, 8, 1, 10]

11. Module 2 Lists - collections of data Key takeaways The list is a type of data used to store multiple objects. Lists can be indexed and updated. List elements and lists can be deleted. Lists can be iterated through using the for loop. The len() function: to check the list's length Function, Method

12. Module 2 Lists - collections of data 21. The basics of lists 22. The basics of lists - the Beatles LAB Practice

Python PCEP Lists Collections of Data

Recommended

More Related Content

What's hot (20)

Similar to Python PCEP Lists Collections of Data (20)

More from IHTMINSTITUTE (19)

Recently uploaded (19)

Python PCEP Lists Collections of Data