Mar 13, 2024 · Let’s discuss some basic principles of programming and the benefits of using it. 1. KISS (Keep It Simple, Stupid) 2. DRY (Don’t Repeat Yourself ) 3. YAGNI (You Aren’t Gonna Need It ) 4. SOLID. 5. Separation of Concerns (SoC): 6. Avoid Premature Optimization. 7. …

Jun 22, 2022 · Treating data as a first-class citizen is made possible by adhering to four core principles: Principle #1 : Separating code (behavior) from data. Principle #2 : Representing data with generic data structures.

A programming language’s features include orthogonality or simplicity, available control structures, data types and data structures, syntax design, support for abstraction, expressiveness, type equivalence, and strong versus weak type checking, exception handling, and restricted aliasing. These features will be

May 9, 2021 · Before we dive into the details of writing functional programs, it is important for us to understand the key principles of functional programming and how these programming principles are useful when designing reproducible data pipelines at scale. In this post, I introduce:

Jun 21, 2023 · Understanding and applying programming principles is vital for every software developer. These principles provide a set of guidelines and best practices that help create clean, efficient, and maintainable code.

Treating data as a first-class citizen is made possible by adhering to four core principles: Separating code (behavior) from data. Representing data with generic data structures. Treating data as immutable. Separating data schema from data representation. When these four principles are combined, they form a cohesive whole as figure A.1 shows.

Aug 18, 2024 · In this article, we covered the key principles of Data-Oriented Programming and how it differs from OOP. After that, we discovered how the new features in the Java language provide a strong foundation for developing data-oriented software.

Aug 22, 2023 · Learn how to program in Python to search, retrieve, analyze and visualize data found on the Web. Learn to work with large data sets. This course is designed to serve as an introduction to computer science concepts and build basic programming skills that are specifically geared towards Data Science.

May 14, 2023 · SOLID principles reduce the risks of introducing unexpected bugs into your data pipelines, increasing data quality and reliability; it reduces development time by forcing you to think about the specific design of your code from the beginning of a project

One design issue for all data types: What operations are defined and how are they specified? Is it a primitive type or just a special kind of array? Should the length of strings be static or dynamic? As a primitive type with static length, they are inexpensive to provide--why not have them? Dynamic length is nice, but is it worth the expense?