Python Archives - onlinetutorialspoint

Python Asynchronous Comprehensions

chandrashekhar — Sat, 06 Sep 2025 03:03:50 +0000

Python comprehensions (list, dict, set) are a concise way to build collections. With the rise of asynchronous programming, PEP 530 introduced asynchronous comprehensions that allow you to use async for inside comprehensions and generator expressions. This feature is extremely useful when working with large datasets from asynchronous sources, such as files, databases, or APIs, where

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Python Coroutines with async and await

chandrashekhar — Fri, 05 Sep 2025 01:38:42 +0000

Python 3.5 introduced native coroutines via PEP 492, adding the async and await keywords to the language. This modernized Python’s approach to I/O-bound concurrency, replacing callback-heavy or generator-based styles with a clean, readable model. When to use async? If your program waits on the network, files, databases, or timers, async/await can let other tasks run while

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Python Template Strings – PEP 750

chandrashekhar — Thu, 04 Sep 2025 05:35:41 +0000

Python 3.14 introduces template strings, also known as t‑strings, through PEP 750. These represent a powerful generalization of f‑strings—rather than evaluating directly to strings, t‑strings produce a Template object that preserves the syntax structure and interpolations. This opens up richer possibilities for safe and flexible string handling While f‑strings are convenient and powerful, they lack a mechanism

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Python Type Hints: A Complete Guide with Examples

chandrashekhar — Wed, 03 Sep 2025 15:44:08 +0000

Python is a dynamically typed language, which means variables don’t need explicit type declarations. However, as projects grow, this flexibility can lead to bugs, poor readability, and confusion. To solve this, Python introduced type hints (PEP 484), which let you add type information to your code. While Python won’t enforce these at runtime, tools like

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Fuzzy Logic in Python: Concepts and Examples

chandrashekhar — Thu, 01 May 2025 11:05:10 +0000

Ever wondered how to handle situations where things aren’t simply true or false, but somewhere in between? Fuzzy logic is a powerful approach to model such uncertainty, allowing values to have partial membership in a set. Unlike traditional logic, which demands crisp boundaries, fuzzy logic embraces ambiguity, making it ideal for real-world applications like temperature

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Python functools.partialmethod Examples

chandrashekhar — Thu, 02 Jan 2025 09:24:02 +0000

Partial methods in Python, enabled by the functools.partialmethod function, provides a way to create modified versions of existing functions. These modified versions, known as partial methods, are intentionally designed to serve as method definitions rather than being callable directly. They come in handy when customizing a function by fixing certain parameters. functools.partialmethod in Python In

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Python functools.partial Examples

chandrashekhar — Wed, 03 Jan 2024 02:50:09 +0000

Ever wished you could tweak a Python function by pre-setting some of its arguments? The functools.partial function is your answer! Part of Python’s functools module, it lets you create new functions with some arguments already filled in. This is perfect for simplifying code and making functions more reusable. Let’s dive into how partial works, explore

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Python functools.singledispatch Examples

Sweety — Mon, 01 Jan 2024 23:53:36 +0000

Ever wanted to write a single function that behaves differently based on the type of its argument? The functools.singledispatch decorator in Python’s functools module makes this possible through single dispatch, a form of function overloading. It lets you define a generic function and customize its behavior for specific argument types. Let’s dive into how singledispatch

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Python functools.total_ordering Examples

Sweety — Mon, 01 Jan 2024 15:42:46 +0000

@functools.total_ordering in Python In Python, the total_ordering decorator in the functools module simplifies the development of class comparison methods. This eases the comparison of classes without the need for explicit function definitions, facilitating the specification of various rich comparison operations. Explicit funcntion definitions refer to the manual creation of functions within a class to handle

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Python functools cached_property Examples

Sweety — Mon, 01 Jan 2024 11:20:51 +0000

@functools.cached_property in Python In Python, a cached_property functions as a decorator within the functools module. Its role is to convert a method within a class into a property. The unique aspect of this property lies in its ability to compute a value once and store it as a regular attribute throughout the instance's existence. Think

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