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
Problem Formulation The output when running this code is as follows Warning (from warnings module): File “C:\Users\xcent\Desktop\code.py”, line 10 ax = fig.gca(projection=’3d’) MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current … Read more
To generate a 3D waterfall plot with colored heights create a 2D sine wave using the NumPy meshgrid() function, then apply a colormap to the heights using Matplotlib’s Normalize function. The plot_surface() function generates the 3D plot, while the color gradient is added using a ScalarMappable object. Here’s a code example for copy and paste: … Read more
Method 1: Speedtest-cli To measure your Internet speed with Python, you can use the Speedtest-cli method. This Python library provides a command-line interface for testing internet bandwidth using speedtest.net. It performs a comprehensive test, providing download speed, upload speed, and latency data. First, install the speedtest-cli library using: pip install speedtest-cli The following example can … Read more
💡 Problem Formulation: Chances are you’ve already figured out that you can get your Python program to sleep for one second using time.sleep(1). But how do you sleep for less than a second, e.g., for half a second (0.5s), milliseconds, or even microseconds? Method 1: Use time.sleep() The time.sleep(seconds) function halts the Python program for … Read more
There has been a lot of drama on Twitter about the new Stanford UC Berkely collab paper titled “How Is ChatGPT’s Behavior Changing over Time?” (source) The paper’s authors selectively provide examples where newer versions of GPT-4 seem to perform “worse” and have “formatting mistakes” than older versions. The first evaluation they provide is the … Read more
If you’re short on time, here’s the code for copy and paste: 👇 Let’s dive into the whole article, keep reading to learn and improve your skills (and enjoy the beautiful spider 🕷️🕸️ images I hand-picked for you)! 👇 💡 Quick overview: I’ll show you the three most Pythonic ways to download a PDF from … Read more
Set stream=True when calling the chat completions or completions endpoints to stream completions. This returns an object that streams back the response as data-only server-sent events. Streaming completion is an essential functionality offered by OpenAI, particularly useful in the implementation of real-time applications like live text generation or interactive conversational bots. Traditionally, this feature has … Read more
What is the scarcest desirable resource on Earth? Before you read on, I want you to commit to an answer. Is human time the scarcest resource? No. You can always produce more humans. Your human time might be limited but human time in general is a renewable resource. Is energy the scarcest resource? Well, no. … Read more
Meta (formerly Facebook) has released Llama 2, a new large language model (LLM) that is trained on 40% more training data and has twice the context length, compared to its predecessor Llama. Llama 2 is open-source so researchers and hobbyist can build their own applications on top of it. Llama 2 is trained on a … Read more
When working with data in Python, one of the most powerful tools at your disposal is the pandas DataFrame. 💡 A DataFrame is a two-dimensional data structure, which essentially looks like a table with rows and columns. This versatile data structure is widely used in data science, machine learning, and scientific computing, among other data-intensive … Read more
When filtering or performing conditional operations on pandas dataframes, a common error that developers encounter is “The truth value of a Series is ambiguous”. The error arises due to the use of improper syntax while filtering or comparing values in a pandas DataFrame or Series object. Instead of using logical operators like and and or, … Read more