A frame-based Python editor for the BBC micro:bit

Have a function that returns a list? You may be able to turn it into a generator function by replacing the append calls with yield statements.

The builtin method decorators... aren't actually decorators?

Learn what it means for code to be Pythonic and explore three ways you can write clear, Pythonic code right now.

In this Introduction to Image Processing with Python, kaggle grandmaster Rob Mulla shows how to work with image data in python! Python image processing is very important for anyone interested in computer vision and data science. Using the popular python packages…

Building a Plagiarism Detection Pipeline in Python

Learn data skills with hands-on exercises & tutorials at Datacamp!
https://datacamp.pxf.io/c/3588040/1012793/13294

In this video we go through the major concepts in natural language processing using Python libraries! We use examples to help drill down the…

Data visualization is an important aspect of all AI and machine learning applications. You can gain key insights into your data through different graphical representations. In this tutorial, we'll talk about a few options for data visualization in Python.…

Learn how to instrument Python code with OpenTelemetry, both manually and using auto-instrumentation.

💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.

Data classes in Python are really powerful and not just for representing structured data. In this video, I show you what you can do with dataclasses as well as new capabilities…

Lifting a graph structure out of Python bytecode

In this video Rob Mulla teaches how to make your pandas dataframes more efficient by casting dtypes correctly. This will make your code faster, use less memory and smaller when saving to disk or a database.

Timeline:
00:00 Intro
00:47 Imports and Data Creation…

Unlike many programming languages, variables in Python are not buckets which

Create a full stack application with Flask and HTMx to build a lightweight interactive site.

Datasets from real-world scenarios are important for building and testing machine learning models. You may just want to have some data to experiment with an algorithm. You may also want to evaluate your model by setting up a benchmark or determining its weaknesses…

In this tutorial, you’ll learn about Support Vector Machines (or SVM) and how they are implemented in Python using Sklearn. The support vector machine algorithm is a supervised machine learning algorithm that is often used for classification problems, though…

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