Programming 101

Most people do not know how their device's process binary and work with data, from their washing machine to their smart phone. I found even some programmers don't have the knowledge of such; I'm in fact guilty of this sin!

I missed out by learning a programming language first rather than trying to understand the computer on the hardware level. As programmers we are controlling the hardware and eventually even if you're programming in Javascript you need to know about memory and how the language works. So free understanding yield curve dynamics and market applications course binary data, persistent and temporary memory, CPU, SPU, GPU, networking and more is crucial even if you're a web developer this still applies to you.

This course will be a broad foundation of knowledge giving understanding of certain topics that need to be covered; giving you a solid foundation to grow from. I don't believe in understanding a programming language first is the correct way to go about things. Programming languages have evolved as a tool for us. NOT the computer! So if we understand the computer's hardware we'll understand clearly how our program's are controlling our device's.

Computers are tools that we created to benefit man kind, however as all tools we need to improve them more and more. However the core principle of computers from the very first computer ever invented hasn't changed. Over time the tool or computer has been refined. However the very core process and simplicity in underlying principles has been the same from the foundation of computing which is, processing ones and noughts. Computers have gone from processing 8 to 64 bits at any one time. This is just the computer being able to process more bits and thus more powerful operations can be done at a single time.

Don't get me wrong computers are far more advanced, but the concept is all I'm saying is simple enough that even a beginner can learn what most people consider advanced and above their pay grade.

Likewise understanding networking is of vital importance especially for the web developers of today. More apps are going online so understanding network ai for cloud infrastructure automating aws with stationops, that has been around for over a decade, is still important today.

What about programming languages? We invented them as tools to communicate with these raw processing machines. We must understand why we have programming languages and how they work. For example what're compilers or transpilers? How have we taken our form of communication, human languages, and turned it into an effective communication to manipulate the computer, programming languages? What about variables, constants, functions, objects and arrays that are in all major programming languages today? Also all languages have operators and if you didn't have them in a programming language you wouldn't actually have a programming language at all.

In this course we'll cover even more, what about programming paradigms. Paradigm just means a model on how to do something. So in this case we can write our program's in a certain way or in a certain paradigm. Very few beginners consider the style with which they program. When creating small scale apps it isn't that difficult, however when creating large scale apps, paradigms become imperative.

Most programming languages give you the flexibility to mix and match programming paradigms or styles for writing your app's. You have a few major styles to choose from such as assembly, procedural and learn object oriented programming in c interview preparation. Do note in a single app you can mix these paradigms usually procedural and object oriented to best suite that part of your large scale app. I'll show you the styles of these paradigms and then apply procedural and OOP (object oriented paradigm/programming) to demonstrate how the human mind works with differing paradigms; proving that multiple paradigms are the way forward.

Finally at the end of learning such a broad range of topics in a clear and concise course; you'll also be learning about the licensing which should be covered especially for new comers. Then learning about software morality such as DRM, software patents and many other aspects of how the government is dealing with your data.

After all this, if you're still not satisfied you can have your 100% money back guarantee if the course actually cost anything. So this last bit is really the bit that sells it, what have you got to loose?