Python’s elegance and readability often come from its ability to execute powerful operations in a single line of code. One such instance is the combination of for loops and if statements into a list comprehension. Understanding the Basics At its core, a list comprehension offers a succinct way to create lists. The syntax [expression for … Read more
Imagine you and your friend are trying to decide who goes through the door first. You say, “After you,” and your friend says, “No, no, after you.” And there you both stand… forever. In Python, this happens when Module A needs something from Module B, but Module B also needs something from Module A. It’s … Read more
Hi and welcome to this course on fine-tuning ChatGPT with the OpenAI API. In this course we’ll not just look at how to deal with the fine-tuning API endpoints itself, but also how to run the fine-tuned model, and most importantly, the data preparation and validation steps so that you will be able to do … Read more
To tackle the IndexError: tuple index out of range in Python, ensure that you access tuple elements within their valid index range, which starts from 0 up to one less than the length of the tuple. Utilize the len() function to dynamically determine the tuple’s length and guide your access patterns, or employ error handling … Read more
In this tutorial, you’ll learn how to generate synthetic data that follows a power-law distribution, plot its cumulative distribution function (CDF), and fit a power-law curve to this CDF using Python. This process is useful for analyzing datasets that follow power-law distributions, which are common in natural and social phenomena. Prerequisites Ensure you have Python … Read more
To generate random samples from a power-law distribution in Python, use the numpy library for numerical operations and matplotlib for visualization. Here’s a minimal code example to generate and visualize random samples from a power-law distribution: First, we import the necessary libraries: numpy for generating the power-law distributed samples and matplotlib.pyplot for plotting. The a … Read more
Congratulations on uncovering the secret layer! Use the code SECRET50 for a 50% discount during easter. Happy Easter from all of us at Finxter! 🥚 Let the Easter egg-citement begin! Guess the magic hop count – what’s the output of this code snippet? The output of this code snippet is also the discount code of … Read more
You can calculate the number of days between two dates in Google Sheets by simply subtracting the earlier date from the later date, using cells containing the dates or the DATE function for manual input. For dynamic calculations involving the current date, use the TODAY() function, as in =TODAY() – DATE(2024, 1, 12), to compute … Read more
The distribution of wealth, especially when it comes to the ultra-wealthy, is a subject of immense fascination and study. It can reveal patterns and insights into economic structures, inequality, and financial dynamics at the highest levels. One of the most revealing ways to examine this distribution is through a log/log plot of the net worths … Read more
To run Python code in ChatGPT, simply copy and paste or type the code in the prompt input field. ChatGPT figures out code automatically and internally calls the code interpreter. If you want newlines, you need to hit SHIFT + ENTER instead of ENTER only to prevent the partial code from being submitted prematurely. For … Read more
💡 Why Is This The Most Powerful One-Liner? This one-liner demonstrates how just a single line of Python code can unlock the vast capabilities of AI, allowing you to interact with and get responses from a highly advanced model with ease, making powerful technology accessible with minimal effort. This assumes you’ve installed OpenAI with pip … Read more
💡 Problem Formulation: We often encounter scenarios where we need to count occurrences of values surpassing a particular threshold within a list. Suppose we are given a list [1, 5, 8, 10, 7, 6, 3] and we want to find out how many elements are greater than the value k=6. The desired output for this … Read more