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Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace.
Python has emerged as a frontrunner thanks to its extensive library range that facilitates various scientific and technical computations in the dynamic world of data science and computational science. One such library that stands out is SciPy, a free and open-source Python library used for high-level analyses. Introduction to SciPy […]
In the enchanting world of Python, there’s a touch of magic that allows developers to redefine or “overload” the default behavior of operators. This capability, known as operator overloading, is a manifestation of polymorphism, allowing objects of different types to be manipulated using the same operator syntax. Let’s journey to […]
Python, a versatile and powerful programming language, offers a variety of data structures to store collections of items. Among these, the list is one of the most flexible and commonly used. In Python, a list is an ordered collection of items of any type. Lists are mutable, meaning their contents […]
Universally unique lexicographically sortable identifiers, commonly known as ULIDs, offer a compelling alternative to traditional UUIDs. The Python package python-ulid provides a straightforward way to work with ULIDs, ensuring compatibility, readability, and efficiency. What is a ULID? A ULID is a universally unique lexicographically sortable identifier. It has several distinguishing […]
Sqids, formerly known as Hashids, is an open-source library designed to generate YouTube-like IDs from numbers. These IDs are concise, can be produced using a custom alphabet, and are guaranteed free from collisions. Key Features and Information Category Description/Features Visual Purpose The primary use of Sqids is for visual appeal. […]
In the grand orchestra of programming languages, Python is a versatile and popular choice, and within its ensemble, NumPy plays a pivotal role as the mathematical maestro. Let’s embark on a journey to explore the nuances of this powerful library, complete with code samples to help you master the art […]
In a world where data reigns supreme, wielding the right tools to harness its potential is crucial. One such tool, rising above the rest in data science and analytics, is Python Anaconda. This potent package manager and environment management system promises seamless package installations and ensures optimal compatibility and collaboration […]
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 […]