Arrays are fundamental in JavaScript, and two handy operators, spread and rest, can supercharge your array of manipulation skills. In this quick guide, we’ll dive into these operators and show you how they can simplify your code.
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When diving into the world of JavaScript, one of the first things you’ll encounter is writing functions. Functions are like the building blocks of your code, and there’s a nifty little trick called “Arrow Functions” that can make your coding journey smoother. In this article, we’ll explore what Arrow Functions are and how they can simplify your code.
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In the world of Python programming, there’s a versatile function that allows you to weave multiple sequences together, creating a synchronized dance of data. Enter the zip() function, a powerful tool that enables elegant pairing and iteration over multiple iterables. In this brief blog post, we’ll take a closer look at the zip() function and discover how it can simplify your code and expand your programming horizons.
In the realm of Python programming, there’s a special method that offers a glimpse into an object’s soul, revealing its identity and state in a unique way. Meet __repr__, a method that plays a crucial role in the world of object-oriented Python. In this short blog article, we’ll delve into the fascinating world of __repr__, exploring its purpose, usage, and why it’s an essential tool for any developer.
In the realm of Python programming, efficiency and clarity go hand in hand. This blog post will introduce you to the power of argument unpacking and show you how it can elevate your Python projects.
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Today, we are about to dive into a remarkable feature of Python that many might not be familiar with, yet it can significantly boost the efficiency of your code. Say hello to functools.lru_cache!
What’s All the Buzz About?
In computer science, caching is like having a mini-notebook to jot down complex calculations. So, the next time you encounter the same problem, you can simply peek into your notebook instead of working out the whole problem again.
functools.lru_cache is Python’s built-in way of doing this. It’s a decorator that helps you store the results of function calls, so if you call the function again with the same arguments, Python just fetches the answer from the cache instead of recalculating it.
Global variables, while accessible from anywhere in the code, can become a double-edged sword when used excessively.
Relying heavily on global variables can complicate code readability, hinder debugging efforts, and make code maintenance a daunting task.
In this article, we’ll explore the drawbacks of overusing global variables and highlight the advantages of using function parameters and return values to pass information between different parts of the code.
Let’s dive in!
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Python is a powerful programming language that offers a wide range of features to make code more readable and concise. One such feature is the ability to chain function calls together in a single line.
Let us briefly write an example and then explain it:
def add(a, b):
return a + b
def subtract(a, b):
return a - b
a, b = 4, 5
print((subtract if a > b else add)(a, b)) # 9 
In today’s digital age, unique identification is becoming increasingly important. Whether it’s for security purposes, data management, or simply keeping track of things, having a way to generate unique values is essential. One of the most popular ways to do this is through the use of UUIDs, or Universally Unique Identifiers.
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One way of introducing potential bugs is the lack of information about the way scopes work inside functions in Python.
When we declare global variables, their value may not change as we may expect.
Let us see this in an example to understand how a simple example can be misleading and confusing for a lot of people.
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