In Python, a set is an unordered collection of distinct elements. Sets are defined by placing all the elements inside curly braces. It is a mutable collection of items. When the sets are created the duplicate items will automatically delete.
Use sets to do set operations such as union, intersection, and difference, or ensure no duplicate items exist in your collection.
The following are the key characteristics of sets:
Here, is an example demonstrating the characteristics.
my_set = {1, 2, 2, 3, 4, 4, 5, 6, 6}
print(my_set) # Output: {1, 2, 3, 4, 5, 6}
my_set.add(7)
print(my_set) # Output: {1, 2, 3, 4, 5, 6, 7}
my_set.remove(4)
print(my_set) # Output: {1, 2, 3, 5, 6, 7}
You can construct sets by using the set() method or by putting items inside curly braces {} and separating them with commas.
unique_numbers = {1, 2, 3, 3, 4}
Python sets do not support indexing and slicing because it is an unordered collection. If you try to access the set elements, you will end up with an error 'typeError'. Here, is an example demonstration:
my_set = {1, 2, 3, 4}
# access element os set
print(my_set[0]) # Output: TypeError: 'set' object is not sub scriptable
print(my_set[1:3]) # Output: TypeError: 'set' object is not sub scriptable
But accessing the element of the set. First, you must convert the sets into the tuple or list because both support indexing and slicing. Here, is an example demonstration:
my_set = {1, 2, 3, 4}
# Convert set to list
my_list = list(my_set)
print(my_list[0]) # Output: 1
print(my_list[1:3]) # Output: [2, 3]
# Convert set to tuple
my_tuple = tuple(my_set)
print(my_tuple[0]) # Output: 1
print(my_tuple[1:3]) # Output: (2, 3)
We use the pop() method to remove and return an arbitrary element from the set. However, this method modifies the set but does not allow you to access specific elements. Here, is an example demonstration:
my_set = {1, 2, 3, 4, 5}
print(my_set.pop()) # Output: 1
In Python, a set is an unordered collection of distinct elements. Sets are defined by placing all the elements inside curly braces. It is a mutable collection of items. When the sets are created the duplicate items will automatically delete.
Use sets to do set operations such as union, intersection, and difference, or ensure no duplicate items exist in your collection.
The following are the key characteristics of sets:
Here, is an example demonstrating the characteristics.
pythonmy_set = {1, 2, 2, 3, 4, 4, 5, 6, 6} print(my_set) # Output: {1, 2, 3, 4, 5, 6} my_set.add(7) print(my_set) # Output: {1, 2, 3, 4, 5, 6, 7} my_set.remove(4) print(my_set) # Output: {1, 2, 3, 5, 6, 7}
You can construct sets by using the set() method or by putting items inside curly braces {} and separating them with commas.
pythonunique_numbers = {1, 2, 3, 3, 4}
Python sets do not support indexing and slicing because it is an unordered collection. If you try to access the set elements, you will end up with an error 'typeError'. Here, is an example demonstration:
pythonmy_set = {1, 2, 3, 4} # access element os set print(my_set[0]) # Output: TypeError: 'set' object is not sub scriptable print(my_set[1:3]) # Output: TypeError: 'set' object is not sub scriptable
But accessing the element of the set. First, you must convert the sets into the tuple or list because both support indexing and slicing. Here, is an example demonstration:
pythonmy_set = {1, 2, 3, 4} # Convert set to list my_list = list(my_set) print(my_list[0]) # Output: 1 print(my_list[1:3]) # Output: [2, 3] # Convert set to tuple my_tuple = tuple(my_set) print(my_tuple[0]) # Output: 1 print(my_tuple[1:3]) # Output: (2, 3)
We use the pop() method to remove and return an arbitrary element from the set. However, this method modifies the set but does not allow you to access specific elements. Here, is an example demonstration:
pythonmy_set = {1, 2, 3, 4, 5} print(my_set.pop()) # Output: 1
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.
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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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