Python

Using Type Hints for Multiple Return Types in Python

In Python, type hinting is an optional yet useful feature for making your code easier to read, reason about, and debug. With type hints, you let other developers know the expected data types for variables, function arguments, and return values. As you write code for applications that require greater flexibility, you may need to specify multiple return types to make your code more robust and adaptable to different situations. You’ll encounter different use cases where you may want to annotate […]

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Machine Learning

From Features to Performance: Crafting Robust Predictive Models

Feature engineering and model training form the core of transforming raw data into predictive power, bridging initial exploration and final insights. This guide explores techniques for identifying important variables, creating new features, and selecting appropriate algorithms. We’ll also cover essential preprocessing techniques such as handling missing data and encoding categorical variables. These approaches apply to various applications, from forecasting trends to classifying data. By honing these skills, you’ll enhance your data science projects and unlock valuable insights from your data. […]

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Machine Learning

Understanding RAG Part II: How Classic RAG Works

Understanding RAG Part I: How Classic RAG WorksImage by Editor | Midjourney & Canva In the first post in this series, we introduced retrieval augmented generation (RAG), explaining that it became necessary to expand the capabilities of conventional large language models (LLMs). We also briefly outlining what is the key idea underpinning RAG: retrieving contextually relevant information from external knowledge bases to ensure that LLMs produce accurate and up-to-date information, without suffering from hallucinations and without the need for constantly […]

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Python

Quiz: Python Thread Safety: Using a Lock and Other Techniques

Interactive Quiz ⋅ 8 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Python threading and thread safety. You’ll revisit concepts such as race conditions, thread safety issues, and synchronization primitives in the threading module. This knowledge is crucial when working with multithreaded code using Python’s threading module and ThreadPoolExecutor. The quiz contains 8 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 […]

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Python

Syntactic Sugar: Why Python Is Sweet and Pythonic

Python has several pieces of syntax that are syntactic sugar. This sugar is syntax that isn’t strictly necessary but gives Python some of its flavor as a readable, beginner-friendly, and powerful language. In this tutorial, you’ll explore some of Python’s most used pieces of syntactic sugar. In practice, you already use most of these pieces of syntax, as they include many well-known Pythonic constructs. As you read on, you’ll see how Python works under the hood and learn how to […]

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Machine Learning

A Roadmap for Your Machine Learning Career

A Roadmap for Your Machine Learning CareerImage by Author | Created on Canva Are you looking to make a career in machine learning? If so, this guide is for you. Machine learning is an interesting field with a lot of potential to solve real-world problems. However, going from a novice to a professional requires a structured approach that not only focuses on technical skills but also on understanding real-world applications, software engineering practices, and industry expectations. And this guide will […]

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Machine Learning

Planning Your Data Science Project

Effective data science projects begin with a strong foundation. This guide will walk you through the essential initial stages: understanding your data, defining project goals, conducting initial analysis, and selecting appropriate models. By carefully applying these steps, you will increase your chances of producing actionable insights. Let’s get started. Planning Your Data Science ProjectPhoto by Sven Mieke. Some rights reserved.   Understanding Your Data The foundation of any data science project is a thorough understanding of your dataset. Think of […]

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Machine Learning

Understanding RAG Part I: Why It’s Needed

Understanding RAG Part I: Why It’s NeededImage by Editor | Midjourney Natural language processing (NLP) is an area of artificial intelligence (AI) aimed at teaching computers to understand written and verbal human language and interact with humans by using such a language. Whilst traditional NLP methods have been studied for decades, the recent emergence of large language models (LLMs) has virtually taken over all developments in the field. By combining sophisticated deep learning architectures with the self-attention mechanism capable of […]

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Machine Learning

5 Free Datasets to Kickstart Your Machine Learning Projects Today

5 Free Datasets to Kickstart Your Machine Learning Projects TodayImage by Editor | Midjourney There are many free datasets online that help you practice and learn. These datasets allow you to try different machine learning techniques and improve your skills. You can find these datasets on platforms like Kaggle and UCI Machine Learning Repository. Here are five free datasets that can help you start your machine learning projects. 1. Iris Dataset Description: The Iris Dataset features information about three types […]

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Python

Quiz: Structural Pattern Matching

Interactive Quiz ⋅ 11 QuestionsBy Bartosz Zaczyński Share In this quiz, you’ll test your understanding of Structural Pattern Matching in Python. You’ll revisit the syntax of the match statement and case clauses, explore various types of patterns supported by Python, and learn about guards, unions, aliases, and name binding. The quiz contains 11 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 […]

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