Python Tuples Lists Sets And Dictionaries Part 3 Python Course From The document covers the second part of a python crash course focusing on basic data structures, including lists, tuples, dictionaries, and sets. it provides a reference video for a more in depth understanding of the concepts discussed. a link to the video is included for access. • understand the basic concepts of various collection data types in python such as list, tuples, sets and dictionary. • work with list, tuples, sets and dictionaries using variety of functions. • writing python programs using list, tuples, sets and dictionaries. • understand the relationship between list, tuples and dictionaries.
Lists Dictionaries Tuples Sets In Python Ppt Converting sequences into tuples >>> alist = [11, 22, 33] >>> atuple = tuple(alist) >>> atuple (11, 22, 33) >>> newtuple = tuple('hello world!') >>> newtuple ('h', 'e', 'l', 'l', 'o', ' ', 'w', 'o', 'r', 'l', 'd', '!'). Below is a list with three elements and a tuple with three elements: tuples are enclosed in parentheses, though the parentheses are actually optional. indexing and slicing work the same as with lists. Module 5 – lists, tuples, sets and dictionary python programming free download as powerpoint presentation (.ppt .pptx), pdf file (.pdf), text file (.txt) or view presentation slides online. unit 5. Types of data structures lists stacks queues tuples sets dictionaries methods of list list.append(item) adds an item to the end of the list. list.extend(list) extends the list by appending all the items in the given list. list.insert(i, item) inserts an item at a given position.
Lists Dictionaries Tuples Sets In Python Ppt Module 5 – lists, tuples, sets and dictionary python programming free download as powerpoint presentation (.ppt .pptx), pdf file (.pdf), text file (.txt) or view presentation slides online. unit 5. Types of data structures lists stacks queues tuples sets dictionaries methods of list list.append(item) adds an item to the end of the list. list.extend(list) extends the list by appending all the items in the given list. list.insert(i, item) inserts an item at a given position. 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. Python provides us with several in built data structures such as lists, tuples, sets, and dictionaries that store and organize the data efficiently. in this article, we will learn the difference between them and their applications in python. 3 objectives to use tuples as immutable lists (§14.2). to use sets for storing and fast accessing non duplicate elements (§14.3). to understand the performance differences between sets and lists (§14.4). to store key value pairs in a dictionary and access value using the key (§14.5). to use dictionaries to develop applications (§14.6). The document provides an overview of python data structures, specifically tuples, lists, and dictionaries. it explains the characteristics of tuples, including their immutability and memory efficiency, and compares them to lists, while also outlining basic operations and examples related to these data types.
Lists Dictionaries Tuples Sets In Python Ppt 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. Python provides us with several in built data structures such as lists, tuples, sets, and dictionaries that store and organize the data efficiently. in this article, we will learn the difference between them and their applications in python. 3 objectives to use tuples as immutable lists (§14.2). to use sets for storing and fast accessing non duplicate elements (§14.3). to understand the performance differences between sets and lists (§14.4). to store key value pairs in a dictionary and access value using the key (§14.5). to use dictionaries to develop applications (§14.6). The document provides an overview of python data structures, specifically tuples, lists, and dictionaries. it explains the characteristics of tuples, including their immutability and memory efficiency, and compares them to lists, while also outlining basic operations and examples related to these data types.
Lists Dictionaries Tuples Sets In Python Ppt 3 objectives to use tuples as immutable lists (§14.2). to use sets for storing and fast accessing non duplicate elements (§14.3). to understand the performance differences between sets and lists (§14.4). to store key value pairs in a dictionary and access value using the key (§14.5). to use dictionaries to develop applications (§14.6). The document provides an overview of python data structures, specifically tuples, lists, and dictionaries. it explains the characteristics of tuples, including their immutability and memory efficiency, and compares them to lists, while also outlining basic operations and examples related to these data types.
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