Set comprehensions can be a method of creating a new set from an iterable object such as a list, or a tuple. It can help you in writing more expressive code and in your spare time.
A method for creating a new set from an existing set by manipulating its elements. This process is similar to list comprehension but generates sets instead of lists. The key difference is that sets use curly brackets, and the elements within a set must be unique.
The following is the syntax of the set comprehension:
new_set = {expression for variable in iterable if condition}
It returns a new set created by set comprehension.
The below example is very basic to demonstrate the use of the set comprehensions:
# Create a set of squares
squares = {x ** 2 for x in range(5)}
print(squares)
Output
Now, generates a set using the condition:
# Create a set of even numbers
evens = {x for x in range(10) if x % 2 == 0}
print(evens)
Output
In this example create a set from a string:
# Create a set of unique characters in a string
unique_chars = {char for char in "hello world" if char.isalpha()}
print(unique_chars)
Output
Set comprehensions can be a method of creating a new set from an iterable object such as a list, or a tuple. It can help you in writing more expressive code and in your spare time.
A method for creating a new set from an existing set by manipulating its elements. This process is similar to list comprehension but generates sets instead of lists. The key difference is that sets use curly brackets, and the elements within a set must be unique.
The following is the syntax of the set comprehension:
pythonnew_set = {expression for variable in iterable if condition}
It returns a new set created by set comprehension.
The below example is very basic to demonstrate the use of the set comprehensions:
python# Create a set of squares squares = {x ** 2 for x in range(5)} print(squares)
Output
Now, generates a set using the condition:
python# Create a set of even numbers evens = {x for x in range(10) if x % 2 == 0} print(evens)
Output
In this example create a set from a string:
python# Create a set of unique characters in a string unique_chars = {char for char in "hello world" if char.isalpha()} print(unique_chars)
Output
Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.
Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.
The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.
Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
6 Top Tips for Learning Python
The following is a step-by-step guide for beginners interested in learning Python using Windows.
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Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.
The average salary for Python Developer is ₹5,55,000 per year in the India. The average additional cash compensation for a Python Developer is within a range from ₹3,000 - ₹1,20,000.
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