Trusting Software Security: A Comprehensive Approach

In software development, trust is not just a matter of functionality but a critical aspect of security. This article delves into the intricacies of software security, particularly in the context of Large Language Models (LLMs), emphasizing the need to trust not only the final product but also the data, models, training methods, and the checks and balances implemented within these systems.

Learning Lua Step-By-Step (Part 19)

This entry is part 18 of 25 in the series Learning Lua Step-By-Step

Explore the Lua Debug Library and its powerful functions for debugging Lua code. From interactive debugging to accessing function information, learn how to leverage these tools to enhance your development workflow.

Learning Lua Step-By-Step (Part 3)

This entry is part 4 of 25 in the series Learning Lua Step-By-Step

Learn how Lua’s versatile data structures, including tables, arrays, and dictionaries, empower developers to efficiently organize and manipulate data. Explore tutorials, books, and online courses to deepen your understanding and master these essential concepts in Lua programming.

Words of Encouragement and Acknowledgement of Impostor Syndrome for Developers

Impostor Syndrome, as articulated by this retired engineer, offers a profound insight into the evolution of expertise within one’s field. It delineates a trajectory familiar to many: the initial surge of confidence upon completing a CS course or bootcamp, swiftly followed by the humbling experience of entering the professional sphere and encountering individuals of greater experience and wisdom.

Introduction to Language-Oriented Programming

Explore the synergy between Language-Oriented Programming (LOP) and Artificial Intelligence (AI) in revolutionizing software development. Learn how domain-specific languages (DSLs) empower developers to express solutions intuitively, and discover the potential of AI in DSL design, development, and usage optimization.

Dynamically Adding Properties to Python Classes

In many programming scenarios, you may encounter situations where you need to dynamically add properties to classes. This can be especially useful in game development, where different game objects may require unique properties based on their specific functionality or state. In this tutorial, we will explore five methods of dynamically adding properties to classes: the crude method, monkey patching, and using decorators, Meta-Classes, and the setattr method. We will illustrate each method using a scenario of an adventure game where we have a Room class and an Item class. This allows our code to be more general.

Title: What Every Software Developer Should Know About Unicode

Understanding Unicode is essential for software developers to ensure their applications can handle diverse languages, characters, and text encodings effectively.

Tree Rewriting And Shunting Yard Parsers

This entry is part 2 of 2 in the series Handling Associativity And Precedence in Handwritten Parser

Introduction Last time we discussed our mission, built a lexer and tree printer to be used throughout our experiments, and introduced the Recursive decent parser. Parsing mathematical expressions involves interpreting their structure, which can be complex due to the presence of operators with different precedence levels and associativity rules. In this article series, we delve into

Handling Associativity and Precedence in Handwritten Parsers

This entry is part 1 of 2 in the series Handling Associativity And Precedence in Handwritten Parser

In the context of Abstract Syntax Trees (ASTs) and parse trees, the terms “higher” and “lower” precedence, as well as tree “depth,” take on a different meaning due to the way parsers traverse the tree structure. In this context, “higher” precedence refers to nodes that are deeper in the tree, further away from the root. When parsers descend into the tree to evaluate expressions or execute algorithms, they typically start at the root and move downwards towards the leaves. Therefore, nodes that are deeper in the tree, or have a higher depth, are processed first, followed by nodes closer to the root. Conversely, nodes closer to the root have lower depth and are processed later in the parsing or evaluation process. This understanding is crucial for parsers and algorithms that rely on tree traversal to correctly interpret and evaluate expressions or perform other operations on tree structures. I have heard these terms used in reverse and for trees in general, this may be correct. I mention this because it can cause confusion, it is worth clarifying these terms when conversing with others.

Understanding the Differences Between Class-Based OOP and Prototype-Based OOP

In the world of software development, understanding the differences between Class-Based OOP and Prototype-Based OOP is essential. While Class-Based OOP provides structure and clarity, Prototype-Based OOP offers flexibility and dynamic behavior. Let’s delve deeper into these two programming paradigms and explore their characteristics, examples, and implications in real-world scenarios.