5 Easy python features you can start using today to write better code

Here are 5 easy Python features you can start using today to write better code:

List comprehensions

List comprehensions are a concise way to create lists in Python. They can be used to create lists from other lists, or to create lists from other data structures. For example, the following code uses a list comprehension to create a list of the squares of the numbers from 1 to 10:

squares  = [x * x for x in range(1, 11)]

Decorators

Decorators are a powerful way to modify the behavior of functions. They can be used to add functionality to functions, or to change the way that functions are called. For example, the following code uses a decorator to add a logging function to a function:

def my_function(x):     print(x)  def log_function(func):  def wrapper(*args, **kwargs):  print("Calling function:", func.__name__)          return func(*args, **kwargs)     return wrapper   @log_function  def my_function(x):     print(x)   my_function(10)

Lambda functions

Lambda functions are a short-hand way to create anonymous functions. They can be used as arguments to other functions, or they can be used to create inline functions. For example, the following code uses a lambda function to calculate the factorial of a number:

factorial = lambda x: 1 if x == 0 else x * factorial(x - 1)  print(factorial(5))

Generators

Generators are a way to create iterators in Python. They are a more efficient way to create iterators than lists, because they do not actually store all of the values in memory. For example, the following code uses a generator to create a list of the squares of the numbers from 1 to 10:

def squares():  for x in range(1, 11):          yield x * x   for square in squares():     print(square)

Exception handling

Exception handling is a way to deal with errors in Python. It allows you to gracefully handle errors, and to continue running your code even if an error occurs. For example, the following code uses exception handling to catch a ValueError exception:

try:      x = int("hello")  except ValueError:     print("Invalid input")

These are just a few of the many easy Python features that you can start using today to write better code. By learning these features, you can make your code more concise, efficient, and easier to read.

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