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In this python tutorial we will learn about How to Check If Value Exists Or Not in Python Dictionary with Example. you'll learn how to check if value is present or not in dictionary python. This tutorial will give you a simple example of python check value in dictionary exists. let us discuss about python check if values exists in dictionary. Let's get started with python dictionary value exists or not.
There are several ways to check value is exists or not in dictionary in python. i will give you two examples using if condition and using custom function in python.
So, without further ado, let's see simple examples:
Example 1:
main.py
user = {= {
"ID": 1,"ID": 1,
"name": "Hardik","name": "Hardik",
"email": "hardik@gmail.com""email": "hardik@gmail.com"
}}
# Check value is present in dictionary# Check value is present in dictionary
if "Hardik" in user.values():if "Hardik" in user.values():
print("value is exists.")print("value is exists.")
else:else:
print("value is not exists.")print("value is not exists.")
Output:
value is exists.
Example 2:
main.py
user = {= {
"ID": 1,"ID": 1,
"name": "Hardik","name": "Hardik",
"email": "hardik@gmail.com""email": "hardik@gmail.com"
}}
def checkValueExists(dic, key):def checkValueExists(dic, key):
if key in dic.values():if key in dic.values():
print("Present")print("Present")
else:else:
print("Not present")print("Not present")
# Check value is present in dictionary# Check value is present in dictionary
value = 'Hardik'= 'Hardik'
checkValueExists(user, value)(user, value)
# Check value is present in dictionary# Check value is present in dictionary
value = 'w'= 'w'
checkValueExists(user, value)(user, value)
Output:
Present
Not present
Original article sourced at: https://www.itsolutionstuff.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.
#python development services #python development company #python app development #python development #python in web development #python software development
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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
#dictionary #python #artificial-intelligence #dictionaries #python dictionary #working with python dictionaries
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An iterator is an object that contains the countable number of values. Python iterator is an object that can be iterated upon, meaning that you can traverse through all the values inside an iterator.
Python any() is an inbuilt function that returns True if any element of an iterable is True otherwise returns False. If the iterable object is empty, the any() returns False. The any() function is the opposite of all() function.
any(iterable)
Python any() method takes an iterable in Python. Those iterables are Python List, Python Dictionary, or Python Tuple.
#python #python any #python dictionary #python list #python tuple
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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