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In this Python article, let's learn about How to Do Python Dictionary Append.
A dictionary is an important data type in Python programming. It is a collection of data values that are unordered. Python dictionary is used to store items in which each item has a key-value pair. The dictionary is made up of these key-value pairs, and this makes the dictionary more optimized.
For example –
Dict = {1: 'Learning', 2: 'For', 3: 'Life'}
print(Dict)
Here,
The colon is used to pair keys with the values.
The comma is used as a separator for the elements.
The output is:
{1: ‘Learnings’, 2: ‘For’, 3: ‘Life’}
Python dictionary append is simply used to add key/value to the existing dictionary. The dictionary objects are mutable. Unlike other objects, the dictionary simply stores a key along with its value. Therefore, the combination of a key and its subsequent value represents a single element in the Python dictionary.
Below are enlisted some restrictions on the key dictionaries –
In Python, you can create a dictionary easily using fixed keys and values. The sequence of elements is placed within curly brackets, and key: values are separated by commas. It must be noted that the value of keys can be repeated but can not have duplicates. Also, keys should have immutable data types such as strings, tuples, or numbers.
Here’s an example –
# Creating a Dictionary
# with Integer Keys
Dict = {1: 'Learning', 2: 'For', 3: Life}
print("\nDictionary with the use of Integer Keys: ")
print(Dict)
# Creating a Dictionary
# with Mixed keys
Dict = {'Name': ‘Great Learning’, 1: [1, 2, 3, 4]}
print("\nDictionary with the use of Mixed Keys: ")
print(Dict)
The output is :
Dictionary with the use of Integer Keys:
{1: ‘Learning’, 2: ‘For’, 3: ‘Life’}
Dictionary with the use of Mixed Keys:
{‘Name’: ‘GreatLearning’, 1: [1, 2, 3, 4]}
Here’s how to create a dictionary using the integer keys –
# creating the dictionary
dict_a = {1 : "India", 2 : "UK", 3 : "US", 4 : "Canada"}
# printing the dictionary
print("Dictionary \'dict_a\' is...")
print(dict_a)
# printing the keys only
print("Dictionary \'dict_a\' keys...")
for x in dict_a:
print(x)
# printing the values only
print("Dictionary \'dict_a\' values...")
for x in dict_a.values():
print(x)
# printing the keys & values
print("Dictionary \'dict_a\' keys & values...")
for x, y in dict_a.items():
print(x, ':', y)
The output is:
Dictionary ‘dict_a’ is…
{1: ‘India’, 2: ‘USA’, 3: ‘UK’, 4: ‘Canada’}
Dictionary ‘dict_a’ keys…
1
2
3
4
Dictionary ‘dict_a’ values…
India
USA
UK
Canada
Dictionary ‘dict_a’ keys & values…
1 : India
2 : UK
3 : US
4 : Canada
Key names are used to access elements of a dictionary. To access the elements, you need to use square brackets ([‘key’]) with key inside it.
Here’s an example –
# Python program to demonstrate
# accessing an element from a dictionary
# Creating a Dictionary
Dict = {1: 'Learning', 'name': 'For', 3: 'Life'}
# accessing an element using key
print("Accessing an element using key:")
print(Dict['name'])
# accessing an element using key
print("Accessing an element using key:")
print(Dict[1])
The output is:
Accessing an element using key:
For
Accessing an element using key:
Life
There’s another method called get() that is used to access elements from a dictionary. In this method, the key is accepted as an argument and returned with a value.
Here’s an example –
# Creating a Dictionary
Dict = {1: 'Learning', 'name': 'For', 3: 'Life'}
# accessing an element using get()
# method
print("Accessing an element using get:")
print(Dict.get(3))
The output is:
Accessing an element using get:
Life
You can delete elements in a dictionary using the ‘del’ keyword.
The syntax is –
1 | del dict['yourkey'] #This will remove the element with your key. |
Use the following syntax to delete the entire dictionary –
1 | del my_dict # this will delete the dictionary with name my_dict |
Another alternative is to use the clear() method. This method helps to clean the content inside the dictionary and empty it. The syntax is –
1 | your_dict.clear() |
Let us check an example of the deletion of elements that result in emptying the entire dictionary –
my_dict = {"username": "ABC", "email": "abc@gmail.com", "location":"Gurgaon"}
del my_dict['username'] # it will remove "username": "ABC" from my_dict
print(my_dict)
my_dict.clear() # till will make the dictionarymy_dictempty
print(my_dict)
delmy_dict # this will delete the dictionarymy_dict
print(my_dict)
The output is:
{’email’: ‘abc@gmail.com’, ‘location’: ‘Gurgaon’}
{}
Traceback (most recent call last):
File “main.py”, line 7, in <module>
print(my_dict)
NameError: name ‘my_dict’ is not defined
The dict.pop() method is also used to delete elements from a dictionary. Using the built-in pop() method, you can easily delete an element based on its given key. The syntax is:
1 | dict.pop(key, defaultvalue) |
The pop() method returns the value of the removed key. In case of the absence of the given key, it will return the default value. If neither the default value nor the key is present, it will give an error.
Here’s an example that shows the deletion of elements using dict.pop() –
my_dict = {"username": "ABC", "email": "abc@gmail.com", "location":"Gurgaon"}
my_dict.pop("username")
print(my_dict)
The output is:
{’email’: ‘abc@gmail.com’, ‘location’: ‘Gurgaon’}
It is easy to append elements to the existing dictionary using the dictionary name followed by square brackets with a key inside it and assigning a value to it.
Here’s an example:
my_dict = {"username": "ABC", "email": "abc@gmail.com", "location":"Gurgaon"}
my_dict['name']='Nick'
print(my_dict)
The output is:
{‘username’: ‘ABC’, ’email’: ‘abc@gmail.com’, ‘location’: ‘Gurgaon’, ‘name’: ‘Nick’}
For updating the existing elements in a dictionary, you need a reference to the key whose value needs to be updated.
In this example, we will update the username from ABC to XYZ. Here’s how to do it:
my_dict = {"username": "ABC", "email": "abc@gmail.com", "location":"Gurgaon"}
my_dict["username"] = "XYZ"
print(my_dict)
The output is:
{‘username’: ‘XYZ’, ’email’: ‘abc@gmail.com’, ‘location’: ‘Gurgaon’}
Let us consider an example with two dictionaries – Dictionary 1 and Dictionary 2 as shown below –
Dictionary 1:
my_dict = {“username”: “ABC”, “email”: “abc@gmail.com”, “location”:”Gurgaon”}
Dictionary 2:
my_dict1 = {“firstName” : “Nick”, “lastName”: “Jonas”}
Now we want to merge Dictionary 1 into Dictionary 2. This can be done by creating a key called “name” in my_dict and assigning my_dict1 dictionary to it. Here’s how to do it:
my_dict = {"username": "ABC", "email": "abc@gmail.com", "location":"Gurgaon"}
my_dict1 = {"firstName" : "Nick", "lastName": "Jonas"}
my_dict["name"] = my_dict1
print(my_dict)
The output is:
{‘username’: ‘ABC’, ’email’: ‘abc@gmail.com’, ‘location’: ‘Gurgaon’, ‘name’: {‘firstName’: ‘Nick’, ‘lastName’: Jonas}}
As observed in the output, the key ‘name’ has the dictionary my_dict1.
Can you append to a dictionary in Python?
Yes, you can append to a dictionary in Python. It is done using the update() method. The update() method links one dictionary with another, and the method involves inserting key-value pairs from one dictionary into another dictionary.
How do I add data to a dictionary in Python?
You can add data or values to a dictionary in Python using the following steps:
First, assign a value to a new key.
Use dict. Update() method to add multiple values to the keys.
Use the merge operator (I) if you are using Python 3.9+
Create a custom function
Does append work for dictionaries?
Yes, append works for dictionaries in Python. This can be done using the update() function and [] operator.
How do I append to a dictionary key?
To append to a dictionary key in Python, use the following steps:
1. Converting an existing key to a list type to append value to that key using the append() method.
2. Append a list of values to the existing dictionary’s keys.
How do you append an empty dictionary in Python?
Appending an empty dictionary means adding a key-value pair to that dictionary. This can be done using the dict[key] method.
Here’s how to do it:
a_dict = {}
a_dict[“key”] = “value”
print(a_dict)
The output is:
{‘key’: ‘value’}
How do you add value to a key in Python?
Using the update() function and [] operator, you can add or append a new key-value to the dictionary. This method can also be used to replace the value of any existing key or append new values to the keys.
Original article source at: https://www.mygreatlearning.com
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map
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No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Robust frameworks
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Progressive applications
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
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Dictionaries in Python are a collection of key-value pairs — meaning every item in the dictionary has a key and an associated value.
If we want to write down prices of some items in a grocery store, normally we will note them on a piece of paper like this:
eggs - 4.99
banana - 1.49
cheese- 4.5
eggplant - 2.5
bread - 3.99
In Python dictionary lingo, the name of each item is “key” and the associated price is “value” and they appear in pairs. We can represent the same in a Python dictionary data structure as follows:
{"eggs": 4.99,
"banana": 1.49,
"cheese": 4.5,
"eggplant": 2.5,
"bread": 3.99}
Notice the differences. In the dictionary
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Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName
>>> print(FirstName, LastName)
('Jordan', 'kalebu')
#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development
1602666000
Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
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