Arashtad

Learn the basics of rebasing in Git to streamline your commit history and keep your branches clean. Git Rebasing Basics: A Beginner's Guide Rebasing in Git is a powerful way to rewrite commit history and create a cleaner, more linear project history. Unlike merging, rebasing places your changes on top of another branch, making the commit graph easier to understand. What is Git Rebase? The git rebase command transfers the base of your branch to another point in the repository history. This is particularly useful when integrating changes from one branch into another without creating unnecessary merge commits. Rebasing Workflow To rebase your feature branch onto the master branch, first switch to your feature branch, then use: git rebase master This will replay your branch commits on top of the latest master commits. Handling Conflicts During Rebase If conflicts arise, Git pauses the rebase for y...

Learn how to create lazy properties in Python using @property and functools.lru_cache for efficient computation. Lazy Properties with @property and functools.lru_cache Lazy properties delay computation until the value is actually needed. This is useful for expensive calculations or data loading. In Python, you can achieve this by combining @property with functools.lru_cache . Why Lazy Properties? Expensive computations can slow down your application if done upfront. Lazy properties calculate values only on first access, then cache them for subsequent calls. Python Implementation Use @property to make a method act like an attribute and @lru_cache to memoize it: import functools class DataProcessor: def __init__(self, value): self.value = value @property @functools.lru_cache(maxsize=None) def expensive_computation(self): print(\\"Computing...\\") return sum(i * i ...

Learn how to create lazy properties in Python using @property and functools.lru_cache for efficient computation. Lazy Properties with @property and functools.lru_cache Lazy properties delay computation until the value is actually needed. This is useful for expensive calculations or data loading. In Python, you can achieve this by combining @property with functools.lru_cache . Why Lazy Properties? Expensive computations can slow down your application if done upfront. Lazy properties calculate values only on first access, then cache them for subsequent calls. Python Implementation Use @property to make a method act like an attribute and @lru_cache to memoize it: import functools class DataProcessor: def __init__(self, value): self.value = value @property @functools.lru_cache(maxsize=None) def expensive_computation(self): print(\\"Computing...\\") return sum(i * i ...

Learn how to implement the Singleton design pattern in pure Python to ensure only one instance of a class exists. Implementing Singleton in Pure Python The Singleton design pattern ensures a class has only one instance and provides a global point of access to it. This is useful when you want to control resources like database connections or configuration objects. Why Use Singleton? Singleton helps enforce a single shared state across your application. For example, you may need a central configuration object or a single logging instance. Python Implementation Unlike languages with private constructors, Python uses the __new__ method to control object creation. Here’s how to create a Singleton class: class Singleton: _instance = None def __new__(cls, *args, **kwargs): if not cls._instance: cls._instance = super(Singleton, cls).__new__(cls, *args, **kwargs) return cls._instanc...

Learn how to implement the Singleton design pattern in pure Python to ensure only one instance of a class exists. Implementing Singleton in Pure Python The Singleton design pattern ensures a class has only one instance and provides a global point of access to it. This is useful when you want to control resources like database connections or configuration objects. Why Use Singleton? Singleton helps enforce a single shared state across your application. For example, you may need a central configuration object or a single logging instance. Python Implementation Unlike languages with private constructors, Python uses the __new__ method to control object creation. Here’s how to create a Singleton class: class Singleton: _instance = None def __new__(cls, *args, **kwargs): if not cls._instance: cls._instance = super(Singleton, cls).__new__(cls, *args, **kwargs) return cls._instanc...

Learn how to commit changes in Git with descriptive messages using `git commit`. Understand why commit messages matter in project history. Committing Changes with Messages in Git Committing in Git is the step where you save staged changes to your local repository with a descriptive message. This message explains the purpose of the changes, making your project history meaningful and trackable. Why Commit Messages Matter Commit messages provide context for each change. They help other developers (and your future self) understand the evolution of the project over time. How to Make a Commit 1. Basic Commit Command git commit -m \\"Your descriptive commit message\\" The -m flag lets you write the message directly in the command line. 2. Example Commit If you previously staged two files called first.txt and second.txt : git commit -m \\"Add initial text files for the project\...