See how you can convert Python for loops into list comprehensions in 3 simple steps.
Practical tips to speed up your Python code and make your loops more efficient.
Python code can be slow - here's 3 ways to speed it up.
And here's why you don't need to touch it (for the most part)
See how this can affect your Python code during run time.
See how Python's functions and methods differ with this simple example
Want more fexibility in your code? Leveraging *args and **kwargs may be the key.
This feature that is not very well known within Python can help you manage your iterables in a clean and concise way.