C++ Language

This course teaches you the powerful, fast and popular C++ programming language from scratch, assuming only basic computer knowledge. If you want to develop apps that squeeze the most power from your computer -- high-end desktop games or complex artificial intelligence programs, for instance -- or if you want to use a language that let's you get close to your machine and access all of your computer's hardware, C++ is the language for you. While C++ is quite challenging, in this course we'll learn the basics step by step; towards the end of the course you'll learn how to create a beautiful "particle fire" program, including a smattering of the basic principles of game development.

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History Of C++:

The C++ programming language has a history going back to 1979, when Bjarne Stroustrup was doing work for his Ph.D. thesis. One of the languages Stroustrup had the opportunity to work with was a language called Simula, which as the name implies is a language primarily designed for simulations. The Simula 67 language - which was the variant that Stroustrup worked with - is regarded as the first language to support the object-oriented programming paradigm. Stroustrup found that this paradigm was very useful for software development, however the Simula language was far too slow for practical use.

Shortly thereafter, he began work on "C with Classes", which as the name implies was meant to be a superset of the C language. His goal was to add object-oriented programming into the C language, which was and still is a language well-respected for its portability without sacrificing speed or low-level functionality. His language included classes, basic inheritance, inlining, default function arguments, and strong type checking in addition to all the features of the C language.

The first C with Classes compiler was called Cfront, which was derived from a C compiler called CPre. It was a program designed to translate C with Classes code to ordinary C. A rather interesting point worth noting is that Cfront was written mostly in C with Classes, making it a self-hosting compiler (a compiler that can compile itself). Cfront would later be abandoned in 1993 after it became difficult to integrate new features into it, namely C++ exceptions. Nonetheless, Cfront made a huge impact on the implementations of future compilers and on the Unix operating system.

In 1983, the name of the language was changed from C with Classes to C++. The ++ operator in the C language is an operator for incrementing a variable, which gives some insight into how Stroustrup regarded the language. Many new features were added around this time, the most notable of which are virtual functions, function overloading, references with the & symbol, the const keyword, and single-line comments using two forward slashes (which is a feature taken from the language BCPL).

In 1985, Stroustrup's reference to the language entitled The C++ Programming Language was published. That same year, C++ was implemented as a commercial product. The language was not officially standardized yet, making the book a very important reference. The language was updated again in 1989 to include protected and static members, as well as inheritance from several classes.

In 1990, The Annotated C++ Reference Manual was released. The same year, Borland's Turbo C++ compiler would be released as a commercial product. Turbo C++ added a plethora of additional libraries which would have a considerable impact on C++'s development. Although Turbo C++'s last stable release was in 2006, the compiler is still widely used.

In 1998, the C++ standards committee published the first international standard for C++ ISO/IEC 14882:1998, which would be informally known as C++98. The Annotated C++ Reference Manual was said to be a large influence in the development of the standard. The Standard Template Library, which began its conceptual development in 1979, was also included. In 2003, the committee responded to multiple problems that were reported with their 1998 standard, and revised it accordingly. The changed language was dubbed C++03.

In 2005, the C++ standards committee released a technical report (dubbed TR1) detailing various features they were planning to add to the latest C++ standard. The new standard was informally dubbed C++0x as it was expected to be released sometime before the end of the first decade. Ironically, however, the new standard would not be released until mid-2011. Several technical reports were released up until then, and some compilers began adding experimental support for the new features.

In mid-2011, the new C++ standard (dubbed C++11) was finished. The Boost library project made a considerable impact on the new standard, and some of the new modules were derived directly from the corresponding Boost libraries. Some of the new features included regular expression support (details on regular expressions may be found here), a comprehensive randomization library, a new C++ time library, atomics support, a standard threading library (which up until 2011 both C and C++ were lacking), a new for loop syntax providing functionality similar to foreach loops in certain other languages, the auto keyword, new container classes, better support for unions and array-initialization lists, and variadic templates.

What is a Compiler

Computers understand only one language and that language consists of sets of instructions made of ones and zeros. This computer language is appropriately called machine language.

A single instruction to a computer could look like this: 00000 10011110

A particular computer's machine language program that allows a user to input two numbers, adds the two numbers together, and displays the total could include these machine code instructions:

00000 10011110 00001 11110100 00010 10011110 00011 11010100 00100 10111111 00101 00000000

As you can imagine, programming a computer directly in machine language using only ones and zeros is very tedious and error prone. To make programming easier, high level languages have been developed. High level programs also make it easier for programmers to inspect and understand each other's programs easier.

This is a portion of code written in C++ that accomplishes the exact same purpose:

int a, b, sum; cin << a; cin << b; sum = a + b; cout << sum << endl;

Even if you cannot really understand the code above, you should be able to appreciate how much easier it will be to program in the C++ language as opposed to machine language. Because a computer can only understand machine language and humans wish to write in high level languages high level languages have to be re-written (translated) into machine language at some point. This is done by special programs called compilers, interpreters, or assemblers that are built into the various programming applications. C++ is designed to be a compiled language, meaning that it is generally translated into machine language that can be understood directly by the system, making the generated program highly efficient. For that, a set of tools are needed, known as the development toolchain, whose core are a compiler and its linker.

Structure of a program

The best way to learn a programming language is by writing programs. Typically, the first program beginners write is a program called "Hello World", which simply prints "Hello World" to your computer screen. Although it is very simple, it contains all the fundamental components C++ programs have: // my first program in C++ #include < iostream > int main() { std::cout << "Hello World!"; }

The output will be : Hello World!

The left panel above shows the C++ code for this program. The right panel shows the result when the program is executed by a computer. The grey numbers to the left of the panels are line numbers to make discussing programs and researching errors easier. They are not part of the program.

Memoisation is a technique used in computing to speed up programs by giving functions memory.

Decorators belong to the most beautiful concepts of Python, but unjustly many Python programmers are afraid of them.

Text processing without regular expressions is only piecemeal. That's why we present in our tutorial a detailed introduction into regular expressions under Python (in Python3), continued by a chapter with advanced regular expressions (in Python3).

Something very controversial in Python: Lambda Operator (in Python3)

It's no secret that Guido van Rossum doesn't like lambda Operators. Here we give you an introduction into his preferred way, i.e. List Comprehension (in Python3)

Exception Handling (in Python3) is a concept which is comparatively new, i.e. it hasn't been known in programming languages like C and Fortran but in C++ and Java.

Generators are not only good for producing electricity, in Python generators (in Python3) are the most powerful tool to create iterators.

Yes, Python is a fully object oriented language! So we offer a complete online course into the details of OOP. You suggest working through the following chapters in this order:

General Introduction into Object Oriented Programming (OOP)

Class and Instance Attributes

Properties vs. Getters and Setters

Inheritance

Multiple Inheritance

Magic Methods and Operator Overloading

Further Topics

Global and local variables (in Python3) is a topic, which can be different for beginners.

A language without the ability to read and write data files would be. So we will introduce you in our course to the essentials of file management (in Python3).

A program, especially a large one, shouldn't be called a program, if it isn't written in a modular way (in Python3).

Memoisation is a technique used in computing to speed up programs by giving functions memory.

Decorators belong to the most beautiful concepts of Python, but unjustly many Python programmers are afraid of them.

Text processing without regular expressions is only piecemeal. That's why we present in our tutorial a detailed introduction into regular expressions under Python (in Python3), continued by a chapter with advanced regular expressions (in Python3).

Something very controversial in Python: Lambda Operator (in Python3)

It's no secret that Guido van Rossum doesn't like lambda Operators. Here we give you an introduction into his preferred way, i.e. List Comprehension (in Python3)

Exception Handling (in Python3) is a concept which is comparatively new, i.e. it hasn't been known in programming languages like C and Fortran but in C++ and Java.

Generators are not only good for producing electricity, in Python generators (in Python3) are the most powerful tool to create iterators.

Yes, Python is a fully object oriented language! So we offer a complete online course into the details of OOP. You suggest working through the following chapters in this order:

General Introduction into Object Oriented Programming (OOP)

Class and Instance Attributes

Properties vs. Getters and Setters

Inheritance

Multiple Inheritance

Magic Methods and Operator Overloading

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