5 Strategies for Deploying Python Modules on Heroku

πŸ’‘ Problem Formulation: You’ve developed a Python module that runs perfectly on your local machine and now you want to share it with the world by deploying it to a live server. Specifically, you’re looking at using Heroku, a popular platform as a service (PaaS) that enables developers to build, run, and operate applications entirely … Read more

5 Best Ways to Measure Elapsed Time in Python

πŸ’‘ Problem Formulation: When working on a Python project, it’s common to need a precise measurement of the time it takes for a block of code or function to execute. For instance, comparing the performance of algorithms requires an accurate way to record execution time from start to finish. Let’s navigate through several methods to … Read more

Understanding the Differences Between Self and __init__ Methods in Python Classes

πŸ’‘ Problem Formulation: When delving into Python classes, newcomers may confuse the use of self and __init__. The issue arises with understanding why both exist and how they differ in terms of functionality. In this article, we will demystify these Python class components with distinct examples. We’ll show how the self argument represents an instance … Read more

Understanding Special Characters in Python Regular Expressions

πŸ’‘ Problem Formulation: When working with text data in Python, you may need to match patterns that include special characters. These special characters have specific roles in regular expressions, and thus can’t be used directly for matching. For example, you want to match an input string like “(abc)” with the literal parentheses rather than treating … Read more

Understanding the Difference Between re.search() and re.findall() in Python Regex

πŸ’‘ Problem Formulation: When working with Python’s re module for regular expressions, it can be unclear when to use re.search() versus re.findall(). The main difference lies in their method of operation: re.search() finds the first match of a pattern within a string while re.findall() retrieves all non-overlapping matches. Let’s say we have the input string … Read more

Understanding the Dot (‘.’) in Python Regular Expressions

πŸ’‘ Problem Formulation: When working with text data in Python, developers often come across patterns that they need to match or search for. Regular expressions (regex) provide a powerful way to perform these tasks. One common element of regular expressions is the dot (‘.’). This article will explain its significance in Python regex, with practical … Read more

Understanding Metacharacters in Python Regular Expression Character Classes

πŸ’‘ Problem Formulation: When working with Python’s regular expressions, it’s common to encounter the need to match a range of characters. Character classes in regular expressions help define such a range, however, integrating metacharacters within these classes can lead to confusion. This article will define what metacharacters are, how they behave inside character classes, and … Read more

5 Best Ways to Flatten a Given List of Dictionaries in Python

πŸ’‘ Problem Formulation: When working with data in Python, you may encounter a list of dictionaries where you want to consolidate all the dictionaries into a single, flattened dictionary. This can be particularly useful for data manipulation or preprocessing before loading into a database or spreadsheet. For example, given [{“a”: 1}, {“b”: 2}, {“c”: 3}], … Read more