5 Python Tips For Beginners!

Python is a general-purpose programming language that is becoming increasingly popular for data science and machine learning. It is a relatively easy language to learn, but there are some tips that can help you become a more efficient Python programmer.

Here are 5 mind-blower tips for Python :

Use list comprehensions instead of for loops. List comprehensions are a concise way to create a new list from an existing list. For example, instead of writing this :

for i in range(10): numbers.append(i)

You can write this: numbers = i for i in range(10)

Use generators instead of lists. Generators are a way to create lazy lists. This means that they only create the elements of the list as they are needed. This can be useful for saving memory and time.

For example, instead of writing this :

def factorial(n): if n == 0: return 1 else: return n * factorial(n - 1)

You can write this: def factorial(n): if n == 0: yield 1 else: for i in range(1, n + 1): yield i * factorial(n - i)

Use functools.lru_cache to memoize functions. Memoization is a technique that stores the results of function calls so that they can be reused. This can be useful for functions that are called multiple times with the same arguments.

For example, this function calculates the Fibonacci sequence:

def fibonacci(n): if n == 0 or n == 1: return n else: return fibonacci(n - 1) + fibonacci(n - 2)

We can memoize this function using functools.lru_cache : from functools import lru_cache

@lru_cache(maxsize=1000) def fibonacci(n): if n == 0 or n == 1: return n else: return fibonacci(n - 1) + fibonacci(n - 2)

This will make the function much faster for large values of n.

Use the built-in functions and modules. Python has a large number of built-in functions and modules that can be used for a variety of tasks. For example, the math module contains functions for mathematical operations, such as sine, cosine, and logarithm. The random module contains functions for generating random numbers. The time module contains functions for getting the current time.

Use a debugger. A debugger is a tool that allows you to step through your code line by line and see the values of variables. This can be very helpful for finding bugs in your code.

These are just a few tips for becoming a more efficient Python programmer. There are many other resources available online and in libraries that can help you learn more about Python.