#python

Solving FizzBuzz in Python and JavaScript

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• javascript
• python
• interview

Leveraging Map, Reduce and Filter for Cleaner Code

When working with array data in JavaScript or Python, transforming, combining and filtering that data is a common task. However, using explicit loops every time can make your code messy and hard to understand. Luckily, there are built-in methods for handling these operations in a simple, declarative way - namely map(), reduce() and filter(). Mastering these 3 functional programming concepts can help you write cleaner and more maintainable code.

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• javascript
• python

Is a string an anagram?

An anagram is a word or phrase formed by rearranging the letters of another word or phrase. For example, "elbow" and "below" are anagrams of each other. In coding interviews and programming challenges, you may be asked to write a function that checks if two input strings are anagrams. Here's how to do this in both Python and JavaScript.

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• programming
• interview

Using Python requests

The Python requests module is an elegant and simple HTTP library for making requests in Python. Requests allows you to send HTTP requests extremely easily. No need to manually add query strings to URLs, or form-encode your POST data. Keep-alive and HTTP connection pooling are 100% automatic, thanks to urllib3.

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• programming
• devops

Using Python logging

The logging module in Python provides a standardized way to record diagnostic and runtime information from your programs. The key benefits of logging are the ability to:

• devops
• python
• programming

Using Python argparse

Python 3.11 introduced a new and improved argument parser in the argparse module. The new argument parser provides several handy features that make it easier to parse command line arguments in Python scripts. In this post, we'll take a look at how to use Python's new argument parser.

• python
• programming
• devops