Author: Deep Learner

Python

Customize VS Code Settings

Visual Studio Code, is an open-source code editor available on all platforms. It’s also a great platform for Python development. The default settings in VS Code present a somewhat cluttered environment. This Code Conversation with instructor Philipp Acsany is about learning how to customize the settings within the interface of VS Code. Having a clean digital workspace is an important part of your work life. Removing distractions and making code more readable can increase productivity and even help you spot […]

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Python

Python News Roundup: July 2024

Summer isn’t all holidays and lazy days at the beach. Over the last month, two important players in the data science ecosystem released new major versions. NumPy published version 2.0, which comes with several improvements but also some breaking changes. At the same time, Polars reached its version 1.0 milestone and is now considered production-ready. PyCon US was hosted in Pittsburgh, Pennsylvania in May. The conference is an important meeting spot for the community and sparked some new ideas and […]

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Machine Learning

Tips for Effective Feature Engineering in Machine Learning

Image by Author Feature engineering is an important step in the machine learning pipeline. It is the process of transforming data in its native format into meaningful features to help the machine learning model learn better from the data. If done right, feature engineering can significantly enhance the performance of machine learning algorithms. Beyond the basics of understanding your data and preprocessing, effective feature engineering involves creating interaction terms, generating indicator variables, and binning features into buckets. These techniques help […]

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Machine Learning

5 Common Mistakes in Machine Learning and How to Avoid Them

Image by Author Using machine learning to solve real-world problems is exciting. But most eager beginners jump straight to model building—overlooking the fundamentals—resulting in models that aren’t very helpful. From understanding the data to choosing the best machine learning model for the problem, there are some common mistakes that beginners often tend to make. But before we go over them, you should understand the problem—it is step 0 if you will—you are trying to solve. Ask yourself enough questions to […]

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Python

Quiz: Python’s Magic Methods: Leverage Their Power in Your Classes

Interactive Quiz ⋅ 19 QuestionsBy Martin Breuss Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of Python’s Magic Methods. By working through this quiz, you’ll revisit the concept of magic methods in Python, how they work, and how you can use them to customize the behavior of your classes. The quiz contains 19 questions and there is no time limit. You’ll get 1    

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Python

Working With JSON Data in Python

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: Working With JSON Data in Python Since its introduction, JSON has rapidly emerged as the predominant standard for the exchange of information. Whether you want to transfer data with an API or store information in a document database, it’s likely you’ll encounter JSON. Fortunately, Python provides robust tools to facilitate this process and help […]

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Python

Defining Python Constants for Code Maintainability

In programming, the term constant refers to names representing values that don’t change during a program’s execution. Constants are a fundamental concept in programming, and Python developers use them in many cases. However, Python doesn’t have a dedicated syntax for defining constants. In practice, Python constants are just variables that never change. To prevent programmers from reassigning a name that’s supposed to hold a constant, the Python community has adopted a naming convention: use uppercase letters. For every Pythonista, it’s […]

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Artificial intelligence Leave a comment

GraphRAG: New tool for complex data discovery now on GitHub

Earlier this year, we introduced GraphRAG (opens in new tab), a graph-based approach to retrieval-augmented generation (RAG) that enables question-answering over private or previously unseen datasets. Today, we’re pleased to announce that GraphRAG is now available on GitHub (opens in new tab), offering more structured information retrieval and comprehensive response generation than naive RAG approaches. The GraphRAG code repository is complemented by a solution accelerator (opens in new tab), providing an easy-to-use  

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Machine Learning

Stable Diffusion Project: Reviving Old Photos

Photography has been around for more than a century. There are many old photos around, and probably your family has some, too. Limited by the camera and film of the time, you may have photos of low resolution, blurry, or with folds or scratches. Restoring these old photos and making them like new ones taken with today’s camera is a challenging task, but even you can do that with photo editing software such as Photoshop. In this post, you will […]

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Python

Python’s Built-in Functions: A Complete Exploration

Python has many built-in functions that you can use directly without importing anything. These functions cover a wide variety of common programming tasks that include performing math operations, working with built-in data types, processing iterables of data, handling input and output in your programs, working with scopes, and more. To get the most out of this tutorial, you’ll need to be familiar with Python programming, including topics like working with built-in data types, functions, classes, decorators, scopes, and the import […]

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