C The predecessor to
C,
B, was developed largely for a specific purpose:
systems programming. By contrast, C has found use in a variety of computational domains, such as
operating systems,
device drivers,
application software, and
embedded systems. C is suitable for use in a variety of areas because of its generality. It provides economy of expression, flow control, data structures, and a rich set of operators, but does not constrain its users to use it in any one context. As a result, though it was first used by its creators to rewrite the kernel of the
Unix operating system, it was easily adapted for use in application development, embedded systems (e.g., microprocessor programming), video games (e.g.,
Doom), and so on. Today, C remains one of the most popular and widely used programming languages.
C++ Conceived as an extension to C,
C++ introduced
object-oriented features, as well as other conveniences like references, operator overloading, and default arguments. Like C, C++'s generality allowed it to be used in a wide range of areas. While its core area of application is in systems programming (because of C++'s ability to grant access to low-level architecture), it has been used extensively to build desktop applications, video games, databases, financial systems, and much more. Major software and finance companies, such as
Microsoft,
Apple,
Bloomberg, and
Morgan Stanley, still widely use C++ in their internal and external applications. The former allowed non-software engineers to easily learn and write computer programs, while the latter allowed domain specialists to easily create
libraries suited to their own use cases. For these reasons, Python has been used across a wide range of domains. Some areas where Python is used include: •
Web development – Frameworks like
Django and
Flask have allowed web developers to create robust web servers that can also exploit the wider Python ecosystem. •
Science and academia – Scientific and data libraries, like
SciPy and
Pandas, have enabled Python's use in scientific research. •
Machine learning – Libraries like
scikit-learn and
TensorFlow have made
machine learning more accessible to developers. •
General software development – Developing user applications, web scraping programs, games, and other general software. ==List==