Chris
Understanding Functions in Python 💡 A Python function is a block of reusable code that performs a specific task. Functions help break your code into smaller, more modular and manageable pieces, which improves readability and maintainability. Python functions are defined using the def keyword, followed by the function’s name and a pair of parentheses containing … Read more
Key Points: The following video shows how I fixed a similar error on a list instead of a tuple: If you’re like me, you try things first in your code and fix the bugs as they come. One frequent bug in Python is the IndexError: tuple index out of range. So, what does this error … Read more
Python tuples are similar to lists, but with a key difference: they are immutable, meaning their elements cannot be changed after creation. Tuple concatenation means joining multiple tuples into a single tuple. This process maintains the immutability of the tuples, providing a secure and efficient way to combine data. There are several methods for concatenating … Read more
I’ve written extensively on the advent of alien technology that is large language models (LLMs) and transformers. Magical files with numbers that can take thousands of tokens as inputs and generate thousands of tokens as outputs. If you’re like me, you may have wondered: How does a machine’s creativity compare to that of a human? … Read more
Understanding Timeit in Python The timeit module is a tool in the Python standard library, designed to measure the execution time of small code snippets. It makes it simple for developers to analyze the performance of their code, allowing them to find areas for optimization. ⏱️ The timeit module averages out various factors that affect … Read more
Understanding divmod() in Python divmod() is a useful built-in function in Python that takes two arguments and returns a tuple containing the quotient and the remainder. The function’s syntax is quite simple: divmod(x, y), where x is the dividend, and y is the divisor. 💡 The divmod() function is particularly handy when you need both … Read more
With the rising interest in generative AI, all of us are seeking signal in a noisy world. Those passionate about AI understand that a model’s effectiveness is only as good as its input training data. The principle of “Garbage in, Garbage out” applies here. If you regularly consume superficial news with a negativity bias, it’s … Read more
Understanding Collections.Counter Python’s Collections Module The collections module in Python contains various high-performance container datatypes that extend the functionality of built-in types such as list, dict, and tuple. These datatypes offer more specialized tools to efficiently handle data in memory. One of the useful data structures from this module is Counter. Counter Class in Collections … Read more
To create and manage multiline strings in Python, you can use triple quotes and backslashes, while more advanced options involve string literals, parentheses, the + operator, f-strings, the textwrap module, and join() method to handle long strings within collections like dictionaries and lists. Let’s get started with the simple techniques first: 👇 Basic Multiline Strings … Read more
Problem Formulation Sorting a list of string numbers numerically in Python can lead to unexpected issues. For example, using the naive approach to sort the list lst = [“1”, “10”, “3”, “22”, “23”, “4”, “2”, “200”] using lst.sort() will result in the incorrect order as it sorts the list of strings lexicographically, not numerically. In … Read more
Basics of Sorting in Python In Python, sorting data structures like lists, strings, and tuples can be achieved using built-in functions like sort() and sorted(). These functions enable you to arrange the data in ascending or descending order. This section will provide an overview of how to use these functions. The sorted() function is primarily … Read more
Understanding Number Systems In Python, there are four commonly used number systems: binary, octal, decimal, and hexadecimal. Each system represents numbers using a different base or radix. Binary (base 2) uses only two digits, 0 and 1, to represent numbers. For example, the binary representation of the decimal number 5 is 101. Octal (base 8) … Read more