5 Things I Wish I Knew Before Starting Programming

Before starting coding, understanding the importance of foundational knowledge is crucial. Many beginners underestimate how essential it is to grasp basic concepts thoroughly before diving into complex topics. This solid foundation not only aids in learning but also boosts confidence when tackling programming challenges.

It's never too late to start learning how to code, regardless of your age. Whether you're in middle school, college, or even if you've just turned 30 or beyond, the right time is now. All you need is passion and determination to begin your coding journey.

Using Ubuntu or other Linux distributions offers flexibility, but each has its downsides. Windows users often struggle with coding tutorials primarily designed for Mac and Linux environments, making it challenging to implement programming tools effectively. Patience and resourcefulness are essential when troubleshooting on Windows. Conversely, while using Linux provides independence in customization, it can lead to difficulties if system issues arise since support is limited compared to more mainstream operating systems like Windows or macOS.

Understanding APIs: Blueprints of Interaction An API serves as a blueprint for interaction with components, whether front-end like buttons or back-end services such as Twitter. It defines how to use functionalities by specifying parameters and actions, similar to following a recipe in cooking. The term 'API' is often misused across the industry; understanding its true meaning is crucial for beginners.

Clarifying Roles & Programming Languages There’s no distinction between software developers and engineers; both titles refer to the same role until specialization occurs in areas like front-end or back-end development. Additionally, there isn't one best programming language—what matters most is finding enjoyment and learning from whichever language you choose. JavaScript stands out due to its versatility on both ends of web development, followed closely by Python for data science applications.