Chris
How to return all variables from a function in Python? In Python, you can return multiple variables from a function by separating them with commas in the return statement. These will be returned as a tuple. You can unpack the results into multiple variables when calling the function. Here’s a minimal example: Keep reading if … Read more
Python Functions and Return Statements Basic Function Syntax Python functions are a key element in writing modular and reusable code. They allow you to define a block of code that can be called with specific arguments to perform a specific task. The function syntax in Python is simple and clean. You can define a function … Read more
Executive Summary Before we dive into Med-PaLM 2, let’s learn about the underlying technology: PaLM 2: 👇 What Is PaLM 2? Google’s PaLM 2 is a next-generation language model with enhanced multilingual understanding, reasoning, and coding capabilities. The Advent of PaLM 2 We recently published an article about the fact that Google actually developed the … Read more
As a parent, you might be wondering about the optimal screen time for your kids according to their age. Balancing technology use and the development of your children is essential, and it’s crucial to understand what screen time guidelines are best supported by science. Research has found that for children younger than 2 years, it’s … Read more
Understanding Python Functions and Return Key-Value Pairs Python functions can return values, which allows you to retrieve information or the result of a computation from the function. Sometimes, you may want your function to return a key-value pair, a common data structure used in Python dictionaries. Key-value pairs help link pieces of related information, such … Read more
As a Python developer interested in building Telegram bots for pure fun and enjoyment, I bring you my curated list of top Python libraries that powerfully streamline bot creation. 1. python-telegram-bot The python-telegram-bot is one of the most straightforward libraries for building bots for the Telegram app. Easy installation: 👇 pip install python-telegram-bot –upgrade It … Read more
A Python metaclass is a class that creates and controls other classes, similar to how classes create and control objects. It’s essentially a “class of a class”. Metaclass Metaphor 1: Toy Factory Imagine you’re running a toy factory. The blueprint for each type of toy (like a car, doll, or train) is like a class … Read more
As a programmer, I know how essential having a comfortable and efficient workspace is. One of the critical components of such an environment is the monitor, which significantly affects productivity and reduces eye strain. Ultra-wide monitors have become increasingly popular among programmers due to their extended screen real estate, allowing for better multitasking and more … Read more
I tried a few helpful applications of Google Bards Image Recognition capabilities for coders. I don’t know about you but I often see beautiful plots (e.g., in research papers or data science reports) and wonder how I could recreate them. Well, Google Bard to the rescue! ✅ Reverse Engineer Exponential Plot in 2D First, let’s … Read more
Python provides the capability to create your own iterator function using a construct known as a generator. 💡 A generator is a unique kind of function. Unlike traditional functions that return a single value, a generator returns a special object — an iterator, which can produce a sequence of values over time. The key feature … Read more
To create a 3D surface plot of a bivariate normal distribution define two normally distributed random variables x and y, each with its own mean (mu_x, mu_y) and variance (variance_x, variance_y). The random variables are independent,the covariance between x and y is 0. Use the grid of (x, y) pairs to calculate the probability density … Read more
When trying to plot a 3D normal distribution recently, I encountered the following error: TypeError Traceback (most recent call last) <ipython-input-10-ee1b0cd4b744> in <cell line: 32>() 30 fig = plt.figure() 31 —> 32 ax = fig.gca(projection=’3d’) 33 34 # create a 3D surface plot of the multivariate normal distribution 👉 TypeError: FigureBase.gca() got an unexpected keyword … Read more