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A time of decay and despair lurked in the eldritch and unfathomable depths of the city’s soul during the President’s reign—a tenure masked as prosperity and joy.

It was a grotesque charade where dolphins, those mocking emissaries of a darker, unknown abyss, swam the river not with grace but with sinister intent. The streets and squares, seemingly alive with celebrations, were but hollow echoes of joy, filled with the cacophony of a cursed existence.

The citizens, deluded in their beliefs, worshipped their leader. Yet, this infallible figure was, in truth, a harbinger of doom, leading them not to security and contentment but into a labyrinth of unspoken horrors and failures, meticulously hidden from sight.

Under his rule, the city did not prosper; it withered, choked by the tendrils of an unspeakable and malevolent truth.

Every Dunder Method^[Draft]

Python includes tons of dunder methods (“double underscore” methods) which allow us to deeply customize how our custom classes interact with Python’s many features. What dunder methods could you add to your class to make it friendly for other Python programmers who use it? Every dunder method in Python

Understanding Spectre: A Explainer on the Speculative Execution Vulnerability

Ben Visness, How does Spectre work? In a nutshell, Spectre is a class of vulnerabilities that exploit speculative execution, a feature present in modern CPUs to enhance performance. This article by Ben Visness offers an intuitive explanation of how Spectre works and what can be done to mitigate it. Speculative Execution: The Basics To understand Spectre, one must first comprehend speculative execution and out-of-order execution. Speculative execution is a process where the CPU guesses whether a condition will be true or false and proceeds accordingly to save time if it guesses correctly, with only a minor penalty if it guesses incorrectly....

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After 14 Years in the Industry I Still Find Programming Difficult

The article on Piglei’s blog reflects on the author’s 14-year programming career, challenging the notion that programming becomes significantly easier with experience. It presents eight insights that highlight the complexities and nuanced aspects of programming. These include the difficulty of writing good code, the importance of creating and maintaining a passion for it, the necessity of an efficient trial-and-error environment, and the significance of understanding both the technological and human elements of software development....