Lists in Python allow storing and manipulating multiple items in a single variable. They can contain elements of different data types like strings, integers, and booleans. Lists can be accessed using indexes, sorted, copied, and joined. Common list methods include append(), insert(), remove(), pop(), sort(), and reverse() to add, remove, and rearrange list elements.
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.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
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.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
The Key Difference between a List and a Tuple. The main difference between lists and a tuples is the fact that lists are mutable whereas tuples are immutable. A mutable data type means that a python object of this type can be modified. Let's create a list and assign it to a variable.
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
Python provides numerous built-in functions that are readily available to us at the Python prompt. Some of the functions like input() and print() are widely used for standard input and output operations respectively.
A function is a set of statements that take inputs, do some specific computation and produces output. The idea is to put some commonly or repeatedly done task together and make a function, so that instead of writing the same code again and again for different inputs, we can call the function.
Python provides built-in functions like print(), etc. but we can also create your own functions. These functions are called user-defined functions.
This slide is used to do an introduction for the matplotlib library and this will be a very basic introduction. As matplotlib is a very used and famous library for machine learning this will be very helpful to teach a student with no coding background and they can start the plotting of maps from the ending of the slide by there own.
The Key Difference between a List and a Tuple. The main difference between lists and a tuples is the fact that lists are mutable whereas tuples are immutable. A mutable data type means that a python object of this type can be modified. Let's create a list and assign it to a variable.
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
Python provides numerous built-in functions that are readily available to us at the Python prompt. Some of the functions like input() and print() are widely used for standard input and output operations respectively.
A function is a set of statements that take inputs, do some specific computation and produces output. The idea is to put some commonly or repeatedly done task together and make a function, so that instead of writing the same code again and again for different inputs, we can call the function.
Python provides built-in functions like print(), etc. but we can also create your own functions. These functions are called user-defined functions.
This slide is used to do an introduction for the matplotlib library and this will be a very basic introduction. As matplotlib is a very used and famous library for machine learning this will be very helpful to teach a student with no coding background and they can start the plotting of maps from the ending of the slide by there own.
• List is a collection, which is ordered and changeable. Allows duplicate members.
• Tuple is a collection, which is ordered and unchangeable. Allows duplicate members.
• Set is a collection, which is unordered and unindexed. No duplicate members.
• Dictionary is a collection, which is unordered, changeable and indexed. No duplicate members.
Python is a widely used high-level programming language for general-purpose programming. Python is a simple, powerful and easy to learn the programming language. It is commonly used for Web and Internet development, Scientific and Numeric computing, Business application and Desktop GUI development etc. The basic data structures in python are lists, dictionaries, tuples, strings and sets
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
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See My Other Reviews Article:
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(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
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Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
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By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
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Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
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In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
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2. Introduction
What is Data ?
Data are individual facts, statistics, or items of information, often numeric,
that are collected through observation. Wikipedia
What is Data structure?
The data structure name indicates itself that organizing the data in memory.
There are many ways of organizing the data in the memory
6. list
Lists are used to store multiple items in a single variable. Lists in Python can
be created by just placing the sequence of items inside the square brackets[].
Syntax
Listname = [item1, item2, ……,item n]
Example
mylist = ["apple", "banana", "cherry"]
9. List Items - Data Types
String, int and boolean data types:
Example
list1 = ["apple", "banana", "cherry"]
list2 = [1, 5, 7, 9, 3]
list3 = [True, False, False]
list4 = ["abc", 34, True, 40, "male"]GUESS???
10. type()-What is the data type of a list?
From Python's perspective, lists are defined as objects with the data
type 'list':
Example
mylist = ["apple", "banana", "cherry"]
print(type(mylist))
OUTPUT: <class 'list'>
11. Allow Duplicates- Lists allow duplicate values
Since lists are indexed, lists can have items with the same value:
Example
Thislist=["apple", "banana", "cherry", "apple", "cherry"]
print(thislist)
OUTPUT: apple, banana, cherry, apple, cherry
12. List Length-Print the number of items in the list
To determine how many items a list has, use the len() function:
Example
thislist = ["apple", "banana", "cherry"]
print(len(thislist))
OUTPUT: 3
13. Python List count() Method
The count() method returns the number of elements with the specified value.
Syntax
list.count(value)
Example
Return the number of times the value 9 appears int the list:
points = [1, 4, 2, 9, 7, 8, 9, 3, 1]
x = points.count(9)
OUTPUT: 2
14. Python List index() Method
The index() method returns the position at the first occurrence of the specified
value.
Syntax
list.index(elmnt)
Example
What is the position of the value 32:
fruits = [4, 55, 64, 32, 16, 32]
x = fruits.index(32)
OUTPUT: 3
15. Access Items-Print the specific item of the list:
List items are indexed and you can access them by referring to the
index number:
Example
thislist = ["apple", "banana", "cherry"]
print(thislist[1])
OUTPUT: banana
16. Access Items-Negative Indexing
Negative indexing means start from the end
-1 refers to the last item, -2 refers to the second last item etc.
Example
Print the last item of the list:
thislist = ["apple", "banana", "cherry"]
print(thislist[-1])
OUTPUT: cherry
17. Access Items-Range of Indexes
You can specify a range of indexes by specifying where to start and where to end the
range.
When specifying a range, the return value will be a new list with the specified items.
Example
Return the third, fourth, and fifth item:
thislist = ["apple", "banana", "cherry", "orange", "kiwi", "melon", "mango"]
print(thislist[2:5])
OUTPUT:['cherry', 'orange', 'kiwi']
19. Access Items-Check if Item Exists
To determine if a specified item is present in a list use the in keyword:
Example
Check if "apple" is present in the list:
thislist = ["apple", "banana", "cherry"]
if "apple" in thislist:
print("Yes, 'apple' is in the fruits list")
OUTPUT: Yes, 'apple' is in the fruits list
20. Change List Items
To change the value of a specific item, refer to the index number:
Example
Change the second item:
thislist = ["apple", "banana", "cherry"]
thislist[1] = "blackcurrant"
print(thislist)
OUTPUT:[apple, blackcurrant, cherry]
21. Change List Items- Change a Range of Item Values
To change the value of items within a specific range, define a list with the new
values, and refer to the range of index numbers where you want to insert the new
values:
Example
Change the values "banana" and "cherry" with the values "blackcurrant" and
"watermelon":
thislist = ["apple", "banana", "cherry", "orange", "kiwi", "mango"]
thislist[1:3] = ["blackcurrant", "watermelon"]
print(thislist)
OUTPUT:
23. Change List Items- Insert()
To insert a new list item, without replacing any of the existing values, we can
use the insert() method.
The insert() method inserts an item at the specified index:
Syntax
insert(position, item)
Example
thislist=["apple", "banana", "cherry"]
thislist.insert(2,"watermelon")
print(thislist)
24. Add List Items- Append Items
To add an item to the end of the list, use the append() method:
Syntax
list.append(elmnt)
Example
Using the append() method to append an item:
thislist = ["apple", "banana", "cherry"]
thislist.append("orange")
print(thislist)
OUTPUT:['apple', 'banana', 'cherry', 'orange']
25. Add List Items- Insert Items
To insert a list item at a specified index, use the insert() method.
Example
Insert an item as the second position:
thislist = ["apple", "banana", "cherry"]
thislist.insert(1, "orange")
print(thislist)
OUTPUT:
GUESS??
26. Add List Items- Extend List
To append elements from another list to the current list, use
the extend() method.
Syntax
list.extend(iterable)
Example
Add the elements of tropical to thislist:
thislist = ["apple", "banana", "cherry"]
tropical = ["mango", "pineapple", "papaya"]
thislist.extend(tropical)
print(thislist)
OUTPUT:
27. Remove List Items-Remove
Specified Item
The remove() method removes the specified item.
Example
Remove "banana":
thislist = ["apple", "banana", "cherry"]
thislist.remove("banana")
print(thislist)
OUTPUT: [“apple”, “cherry”]
28. Remove List Items- Remove Specified
Index
The pop() method removes the specified index.
Example
Remove the second item:
thislist = ["apple", "banana", "cherry"]
thislist.pop(1)
print(thislist)
OUTPUT:
29. Remove List Items- Remove Specified
Index(del)
The del keyword also removes the specified index:
Example
Remove the first item:
thislist = ["apple", "banana", "cherry"]
del thislist[0]
print(thislist)
OUTPUT:
31. Remove List Items-Clear the List
The clear() method empties the list. The list still remains, but it has no
content.
Syntax
list.clear()
Example
Clear the list content:
thislist = ["apple", "banana", "cherry"]
thislist.clear()
print(thislist)
OUTPUT:[ ]
32. Loop Through a List
Example
Print all items in the list, one by one:
thislist = ["apple", "banana", "cherry"]
for x in thislist:
print(x)
OUTPUT:
apple
banana
cherry
For-loop
While-loop
Do-while loop
33. Python - Sort Alphanumerically
List objects have a sort() method that will sort the list alphanumerically,
ascending, by default:
Example
Sort the list alphabetically:
thislist = ["orange", "mango", "kiwi", "pineapple", "banana"]
thislist.sort()
print(thislist)
OUTPUT:['banana', 'kiwi', 'mango', 'orange', 'pineapple']
35. Python - Sort Descending
To sort descending, use the keyword argument reverse = True:
Example
Sort the list descending:
thislist = ["orange", "mango", "kiwi", "pineapple", "banana"]
thislist.sort(reverse = True)
print(thislist)
OUTPUT: ['pineapple', 'orange', 'mango', 'kiwi', 'banana']
36. Python - Case Insensitive Sort
By default the sort() method is case sensitive, resulting in all capital letters being
sorted before lower case letters:
Example
Case sensitive sorting can give an unexpected result:
thislist = ["banana", "Orange", "Kiwi", "cherry"]
thislist.sort()
print(thislist)
thislist.sort(key = str.lower)
OUTPUT: ['Kiwi', 'Orange', 'banana', 'cherry']
37. Python - Reverse Order
The reverse() method reverses the current sorting order of the elements.
Example
Reverse the order of the list items:
thislist = ["banana", "Orange", "Kiwi", "cherry"]
thislist.reverse()
print(thislist)
OUTPUT: ['cherry', 'Kiwi', 'Orange', 'banana']
38. Python - Copy Lists
You cannot copy a list simply by typing list2 = list1, because: list2 will only be
a reference to list1, and changes made in list1 will automatically also be made
in list2.
There are ways to make a copy, one way is to use the built-in List method copy().
Example
Make a copy of a list with the copy() method:
thislist = ["apple", "banana", "cherry"]
mylist = thislist.copy()
print(mylist)
OUTPUT: ['apple', 'banana', 'cherry']
39. Python - Join Lists- Join Two Lists
There are several ways to join, or concatenate, two or more lists in Python.
One of the easiest ways are by using the + operator.
Example
Join two list:
list1 = ["a", "b", "c"]
list2 = [1, 2, 3]
list3 = list1 + list2
print(list3)
OUTPUT: ['a', 'b', 'c', 1, 2, 3]
40. Cont…
you can use the extend() method, which purpose is to add elements from one
list to another list:
Example
Use the extend() method to add list2 at the end of list1:
list1 = ["a", "b" , "c"]
list2 = [1, 2, 3]
list1.extend(list2)
print(list1)
OUTPUT: ['a', 'b', 'c', 1, 2, 3]
41. Cont…
Example
Add a list to a list:
a = ["apple", "banana", "cherry"]
b = ["Ford", "BMW", "Volvo"]
a.append(b)
OUTPUT: ['apple', 'banana', 'cherry', ["Ford", "BMW", "Volvo"]]
42. Summary
List is a collection which is ordered and changeable. Allows duplicate
members.
Tuple is a collection which is ordered and unchangeable. Allows duplicate
members.