Python Dictionary Copy Example | Python dict copy()

The  Dictionary is one of the popular data structures in Python. We often come across the times when we need to copy the elements of the dictionary from one to another. This is where the dictionary copy() method.

Python Dictionary copy()

Python dictionary copy() is an inbuilt function that returns a copy of a specified dictionary. The copy() function returns a shallow copy of the dictionary. The copy() method doesn’t take any parameters. It doesn’t modify the original dictionary.

The syntax of the copy() method in the Python Dictionary is the following.

dictionary.copy()

See the following example.

## app.py

appDict = { 
    'shopping': 'flipkart',
    'transport': 'ola',
    'banking': 'paytm',
    'hotel': 'oyo rooms'
 }
secDict = appDict.copy()
print(secDict)

See the below output.

Python Dictionary Copy Example | copy() Method Tutorial

In the above example, an exact copy of appDict is created and assigned to the secDict.

#python #python dict copy

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Python Dictionary Copy Example | Python dict copy()
Ray  Patel

Ray Patel

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Lambda, Map, Filter functions in python

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

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

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. 

5 Reasons to Utilize Python for Programming Web Apps 

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.

Summary

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

Ray  Patel

Ray Patel

1623077700

Working with Python dictionaries: a cheat sheet

Accessing, editing and looping through dictionary items

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

  • each key is within quotation marks because they are strings
  • the associated values are not quoted because they are numeric
  • keys and values are separated by a colon (:)
  • the items are comma-separated

#dictionary #python #artificial-intelligence #dictionaries #python dictionary #working with python dictionaries

Python Dictionary Copy Example | Python dict copy()

The  Dictionary is one of the popular data structures in Python. We often come across the times when we need to copy the elements of the dictionary from one to another. This is where the dictionary copy() method.

Python Dictionary copy()

Python dictionary copy() is an inbuilt function that returns a copy of a specified dictionary. The copy() function returns a shallow copy of the dictionary. The copy() method doesn’t take any parameters. It doesn’t modify the original dictionary.

The syntax of the copy() method in the Python Dictionary is the following.

dictionary.copy()

See the following example.

## app.py

appDict = { 
    'shopping': 'flipkart',
    'transport': 'ola',
    'banking': 'paytm',
    'hotel': 'oyo rooms'
 }
secDict = appDict.copy()
print(secDict)

See the below output.

Python Dictionary Copy Example | copy() Method Tutorial

In the above example, an exact copy of appDict is created and assigned to the secDict.

#python #python dict copy

Elisa  Marks

Elisa Marks

1599109740

Python Add To Dictionary Example | Add Key In Python Dict

Python add to dictionary example is today’s topic. Python has so many data structures, and one of them is the Dictionary. Python dictionary is one of the built-in Python data types. Add and remove elements are is the standard operations of data structures, and add element to dictionary is one of them. Python dictionary elements are key-value pairs.

Python add to dictionary

Perfect meaning of Python add to dictionary is either items or elements insert into  dictionary. We will see different ways of inserting key-value pairs in Python dict.

Some of the data structures have specific methods to add elements in the structure, but there is no explicitly defined method to add the new key to the dictionary.

If you want to add the new key to a dictionary, then you can use the assignment operator with the dictionary key.

See the following snippet.

dict[key] = value

Now, one thing to keep in mind that if the key already exists, then it will override the value.

#python #python dict #python add to dictionary