Programming Languages: Loved, Loathed, and Long-Standing

The world of programming languages is vast and ever-evolving. Over the decades, many languages have been introduced, gained popularity, and sometimes faded into obscurity. Yet, some languages, despite being widely criticized, have managed to maintain a strong foothold in the industry. Conversely, others, once heralded as the future, have declined in use. This article delves into this phenomenon, examining why some languages are resilient despite criticism, while others have fallen out of favor. We will explore these dynamics globally, understanding regional preferences and the historical context that has shaped the programming landscape.

Implementing Regular Expressions (RegEx) from Scratch in Python

Implementing Regular Expressions (RegEx) from scratch in Python provides a deeper understanding of how RegEx works. This tutorial guides you step-by-step through creating a RegEx engine using finite automata, covering essential RegEx operations, converting RegEx to NFA using Thompson’s Algorithm, and building a full-featured RegEx engine.

Learning Lua Step-By-Step: (Part 24)

This entry is part 23 of 25 in the series Learning Lua Step-By-Step

In this final installment of our series, we’ll delve into Lua developer best practices. These practices encompass various aspects such as code readability, documentation, adherence to standards, version control, testing, asset management, useful tools, techniques, traits of professional developers, and the Zen of Lua.

Learning Lua Step-By-Step: (Part 23)

This entry is part 22 of 25 in the series Learning Lua Step-By-Step

Dive into Lua’s OS library functionalities covering date/time formatting, file path manipulation, time-based delays, and more. Explore examples demonstrating how to interact with the operating system efficiently, enhancing your Lua programming capabilities.

Learning Lua Step-By-Step: (Part 22)

This entry is part 21 of 25 in the series Learning Lua Step-By-Step

Delve into Lua’s powerful math library, exploring functions for arithmetic, trigonometry, exponentiation, random number generation, and more. Learn through practical examples such as three-body simulations and planetary simulations, enhancing your Lua programming skills.

Learning Lua Step-By-Step: (Part 21)

This entry is part 20 of 25 in the series Learning Lua Step-By-Step

Discover the rich functionalities offered by Lua’s standard libraries, covering error handling, file input/output, environment manipulation, metatables, iterators, serialization, and more. Explore practical examples and exercises to enhance your Lua programming skills.

Learning Lua Step-By-Step: (Part 20) Memory Management

This entry is part 19 of 25 in the series Learning Lua Step-By-Step

Dive into Lua’s automatic memory management system and understand how garbage collection ensures efficient memory usage. Learn about controlling garbage collection, memory optimization techniques, and the impact on Lua objects.

Learning Lua Step-By-Step (Part 18)

This entry is part 17 of 25 in the series Learning Lua Step-By-Step

Lua metatables are a powerful feature that allows developers to customize the behavior of tables in Lua. This article explores metatables in-depth, covering their syntax, functionality, and practical applications. Learn how metatables enable operator overloading, custom indexing, and much more, making Lua programming more flexible and expressive.

Learning Lua Step-By-Step (Part 15)

This entry is part 14 of 25 in the series Learning Lua Step-By-Step

Dive into the world of web programming with Lua! In this series of articles, learn how to set up your development environment, create a simple multi-page web application using the Lapis framework, and enhance it with dynamic content and user authentication. Explore the possibilities of building powerful web apps with Lua.

Learning Lua Step-By-Step (Part 14)

This entry is part 1 of 25 in the series Learning Lua Step-By-Step

Explore how to work with graphs and implement pathfinding algorithms in Lua. Learn about using graphs to model complex relationships and environments, and discover efficient algorithms like breadth-first search, depth-first search, Dijkstra’s algorithm, and A* pathfinding to find optimal paths.