Introduction As a Python developer, one of the most important things you can do to improve your code quality and ensure its reliability is to write comprehensive tests. Unit testing is a popular approach to testing in Python development that involves testing small, isolated pieces of code, or “units.” In […]
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The article discusses the DBSCAN clustering algorithm, a density-based unsupervised learning algorithm. Unlike other methods, it is one of the most widely used clustering methods because it can handle clusters of any shape. The article explains the essential parameters in DBSCAN, including the maximum distance between two samples, the minimum […]
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Clustering is an essential technique in data analysis and machine learning that helps to identify patterns and relationships between data points. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is one such clustering algorithm widely used in many applications due to its ability to identify clusters of different shapes and […]
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If you have some experience with object-oriented programming languages like Java or C++, you might be familiar with the concepts of getters and setters. These unique methods allow you to access and modify the attributes of a class while maintaining encapsulation and data validation. In Python, however, getters and setters […]
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The Model-View-Controller (MVC) architecture is available in Python, and many web frameworks follow this architecture. Here are some popular Python web frameworks that follow the MVC pattern: Framework Description Django Django is a full-stack web framework with an ORM, a templating engine, and many other features for building web applications. […]
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Well, this is our world 🙂 Take a look at the following code. Let’s imagine that input is actually user input or some value we get from an API. That’s going to print out These things are equal: True right? Right?! Well not if you live in Turkey. Or more accurately, not if the […]
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Learn how to use Structural Design Patterns to create code that is easy to understand and maintain. Structural Design Patterns are a way to create code that is easy to understand and maintain. They provide a way to assemble objects into complex, easy-to-understand, and maintained structures. There are five main […]
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Learn how to use creational design patterns to create objects more flexibly and reusable. Creational design patterns are a way to create objects more flexibly and reusable. They provide a way to decouple the creation of objects from their use, which makes it easier to create and manage objects, and […]
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Learn how to use design patterns to write better, more maintainable code Design patterns are reusable solutions to common software design problems. They provide a shared vocabulary for discussing design problems and answers and can help you write better, more maintainable code. What are Design Patterns? A design pattern is […]
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Do Not Use If-Else For Validating Data Objects In Python Anymore In Python, it is common to use if-else statements to validate data objects. However, this can be error-prone and difficult to maintain. Cerberus is a Python library that provides a more elegant and efficient way to validate data objects. […]
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