Quiz: When to Use a List Comprehension in Python

Interactive Quiz ⋅ 8 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of List Comprehension in Python. By working through this quiz, you’ll revisit how to rewrite loops as list comprehensions, how to choose when to use list comprehensions, how you can use conditional logic in your comprehensions, and how to profile your code to resolve performance questions. The quiz contains 8 questions and there is no time limit. You’ll get 1 point for each correct answer. […]

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Beyond multi-core parallelism: faster Mandelbrot with SIMD

What do you do when computation is too expensive? Recently I’ve had a brilliant business idea: Mandelbrot-as-a-Service! Instead of companies calculating their own fractals, I will do it for them, freshly calculated in the cloud, with no work on their part. And by using cloud computing, I will be able to scale to the no-doubt vast number of customers who will be paying for my ingenious new service. I have two goals: Speeding up results: The faster I can return […]

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Industries in Focus: Machine Learning for Cybersecurity Threat Detection

Industries in Focus: Machine Learning for Cybersecurity Threat DetectionImage by Editor | Canva(Background designed by Freepik) Cybersecurity threats are becoming increasingly sophisticated and numerous. To address these challenges, the industry has turned to machine learning (ML) as a tool for detecting and responding to cyber threats. This article explores five key ML models that are making an impact in cybersecurity threat detection, examining their applications and effectiveness in protecting digital assets. Applications of Machine Learning in Cybersecurity Before examining specific […]

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Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS

LightGBM is a highly efficient gradient boosting framework. It has gained traction for its speed and performance, particularly with large and complex datasets. Developed by Microsoft, this powerful algorithm is known for its unique ability to handle large volumes of data with significant ease compared to traditional methods. In this post, we will experiment with LightGBM framework on the Ames Housing dataset. In particular, we will shed some light on its versatile boosting strategies—Gradient Boosting Decision Tree (GBDT) and Gradient-based One-Side […]

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Quiz: A Guide to Modern Python String Formatting Tools

Interactive Quiz ⋅ 10 QuestionsBy Leodanis Pozo Ramos Share Test your understanding of Python’s tools for string formatting, including f-strings and the .format() method. Take this quiz after reading our A Guide to Modern Python String Formatting Tools tutorial. The quiz contains 10 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score. The maximum score is 100%. Good luck! « Browse All Python […]

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A Guide to Modern Python String Formatting Tools

Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Formatting Python Strings When working with strings in Python, you may need to interpolate values into your string and format these values to create new strings dynamically. In modern Python, you have f-strings and the .format() method to approach the tasks of interpolating and formatting strings. To get the most out of this tutorial, […]

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Differences Between Python’s Mutable and Immutable Types

As a Python developer, you’ll have to deal with mutable and immutable objects sooner or later. Mutable objects are those that allow you to change their value or data in place without affecting the object’s identity. In contrast, immutable objects don’t allow this kind of operation. You’ll just have the option of creating new objects of the same type with different values. In Python, mutability is a characteristic that may profoundly influence your decision when choosing which data type to […]

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Data Formulator: Exploring how AI can help analysts create rich data visualizations 

Transforming raw data into meaningful visuals, such as charts, is key to uncovering hidden trends and valuable insights, but even with advances in AI-powered tools, this process remains complex. Integrating AI into the iterative nature of the data visualization process is particularly challenging, as data analysts often struggle to describe complicated tasks in a single text prompt while lacking the direct control of traditional tools. This highlights the need for smarter, more intuitive solutions that combine AI’s  

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Python 3.13: Cool New Features for You to Try

Python 3.13 will be published on October 1, 2024. This new version is a major step forward for the language, although several of the biggest changes are happening under the hood and won’t be immediately visible to you. In a sense, Python 3.13 is laying the groundwork for some future improvements, especially to the language’s performance. As you read on, you’ll learn more about the background for this and dive into some new features that are fully available now. In […]

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