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Rajesh Joshi
Rajesh Joshi

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Python NOT for Beginners β›” but for Professionals 😎

Introduction πŸš€

Python is a powerful, versatile, and user-friendly programming language that is widely used for web development, data analysis, scientific computing, and more. One of the reasons Python is so popular is because it comes with a rich standard library that includes a wealth of tools and modules that can be used for various tasks. In this blog post, we'll explore some of the best built-in features of the Python programming language.

Iterators and Generators πŸš€

In Python, everything is an object, including sequences like lists, tuples, and strings. These sequences are iterable, meaning that you can use a for loop to iterate over their elements. Python also provides a powerful tool for creating your own iterators called generators. Generators are special functions that return an iterator, which can be used to generate a sequence of values. The values are generated one at a time, only when requested, and they can be generated an indefinite number of times.

Here's an example of a simple generator in Python:

def fibonacci(n):
    a, b = 0, 1
    for _ in range(n):
        yield a
        a, b = b, a + b
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This generator returns the first n numbers in the Fibonacci sequence. You can use it like this:

for number in fibonacci(10):
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List comprehensions πŸš€

List comprehensions are a concise way of creating lists in Python. They are a simple and efficient way to perform operations on a list and create a new list with the results. With list comprehensions, you can write code that is more readable, expressive, and concise.

Here's an example of a list comprehension in Python:

squared = [x**2 for x in range(10)]
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This code creates a list of the squares of the first 10 numbers. The result will be [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

Decorators πŸš€

In Python, a decorator is a special type of function that can be used to modify the behavior of another function. Decorators can be used to add or modify behavior to existing functions, without having to change the underlying code. This makes decorators a powerful tool for extending the functionality of your code.

Here's an example of a simple decorator in Python:

def my_decorator(func):
    def wrapper():
        print("Something is happening before the function is called.")
        print("Something is happening after the function is called.")
    return wrapper

def say_hello():

say_hello = my_decorator(say_hello)

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This code defines a simple decorator that adds behavior to the say_hello function. When you run this code, you will see the following output:

Something is happening before the function is called.
Something is happening after the function is called.
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Context Managers πŸš€

Context Managers in Python are objects that control the behavior of a block of code. They are used to manage resources, such as file handles or network connections, by defining a set of rules for how the resource should be used.

The most common use of context managers is to handle the opening and closing of files in a safe and efficient manner. Instead of manually opening and closing a file, a context manager will handle these operations for you.

Here's an example of a simple context manager in Python:

with open("file.txt", "w") as file:
    file.write("Hello, world!")
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In this example, the open function is used to open the file "file.txt" in write mode ("w"). The with statement is used to create a context in which the file will be used. The as clause specifies a variable (file) that will be used to refer to the file within the context.

When the block of code within the with statement is finished executing, the context manager will automatically close the file. This eliminates the need to manually close the file and eliminates the risk of leaving the file open if an exception is raised.

Context managers can also be defined for other types of resources, such as network connections or database connections, to manage their use in a similar manner.

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