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The error message “dict.get() takes no keyword arguments” occurs when you try to use keyword arguments while calling the get() method on a dictionary in Python. The get() method only takes positional arguments for the key and the default value. Here is the correct usage and a demonstration of how […]
The error “string indices must be integers” occurs in Python when you attempt to access individual string elements using indices that are not integers. In Python, strings are sequences of characters, and you can access unique characters using integer indices. Let’s explore why this error occurs and how you can […]
The error “Failed getting connection; pool exhausted” usually occurs when using database connection pools. A connection pool is a cache of database connections maintained so that the connections can be reused rather than opened and closed repeatedly. Let’s go through the possible causes of this error and how you can […]
The error message “too many values to unpack (expected 2)” occurs in Python when you try to unpack more values than the number of variables available to assign them to. Let’s delve into this error, understand why it occurs, and see how to fix it. Cause of the Error This […]
Understanding data types is fundamental to manipulating and storing data efficiently in programming. Python, a powerful and versatile language, offers a variety of built-in data types to facilitate various operations. Python’s data types are the classifications of data items. They represent the value of what operations can be performed on […]
Python has carved a niche for itself in the dynamic programming landscape due to its simplicity and versatility. Among Python’s various tools and libraries, PyScript is a robust scripting environment that facilitates automation and streamlines multiple tasks. We will explore the functionalities of PyScript, accompanied by illustrative examples, to get […]
As programmers navigate Python’s vast and intricate world, they often seek ways to write cleaner, more readable, and more efficient code. One such tool that Python offers to achieve this is the use of decorators. This article will demystify Python decorators, showcasing their potential to streamline your codebase with practical […]
Python has carved a niche for itself in the dynamic and ever-evolving programming landscape, mainly owing to its readability, efficiency, and robust collection of libraries and tools. Among its diverse features, Python’s generators testify to the language’s commitment to clean, efficient, and powerful code. In this article, we explore the […]
In programming, immutability is often heralded for maintaining data integrity and facilitating thread-safe operations. But what if we take it further and introduce the “immortal objects” concept in Python? Once created, these objects would retain their state and properties throughout the application’s lifetime, resisting any attempts at modification or deletion. […]
When embarking on your Python programming journey, it’s only a matter of time before you encounter errors or exceptions that halt your code’s execution. It’s not a matter of if but when. But fear not, as Python provides a sophisticated system to manage exceptions gracefully. We delve into the vital […]