Every Python Developer Should Know

Python is a versatile and powerful programming language that offers a wide range of built-in functions for performing various operations. As a Python developer, it’s important to have a strong understanding of these functions and how they can be used to improve the efficiency and effectiveness of your code.

In this article, we will explore some of the essential built-in functions in Python. From lambda, map() and filter() to reduce() and enumerate(), we will dive into the syntax, usage, and benefits of each of these functions.

The general syntax for a lambda function is:

Here, arguments are the arguments passed to the lambda function, and expression is the single expression that the lambda function evaluates and returns.

For example, consider the following lambda function that takes two arguments and returns their sum

The syntax is as follows:

For example, consider the following code that uses the map() function to square each element of a list:

The syntax is as follows:

Here, function is the function to be applied to each element of the iterable, and iterable is the iterable that the function will be applied to. The initializer parameter is an optional initial value for the reduction. If no initializer is provided, the first element of the iterable is used as the initial value.

For example, consider the following code that uses the reduce() function to compute the product of a list of numbers:

In this example, the reduce() function is used to apply the lambda function lambda x, y: x*y to each pair of elements in the numbers list. The resulting value is the product of all the numbers in the list.

The reduce() function can also be used with an initial value. For example, consider the following code that uses the reduce() function to compute the sum of a list of numbers, starting with an initial value of 10:

In this example, the reduce() function is used to apply the lambda function lambda x, y: x+y to each pair of elements in the numbers list, starting with an initial value of 10. The resulting value is the sum of all the numbers in the list plus the initial value.

The syntax is as follows:

For example, consider the following code that uses the filter() function to filter out even numbers from a list:

The filter() function can also be used with other functions. For example

The syntax is as follows:

Here’s an example of using enumerate() to iterate over a list of strings:

Output:

Output:

Thank you for reading. If you find something wrong or better ways to do it, let me know in the comments below.

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