Of programming skills

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Jump to navigation Jump to search A code kata is an exercise in programming which helps programmers hone their skills through practice and repetition. The term was probably first coined by Dave Thomas, co-author of the book The Pragmatic Programmer, in a bow to the Japanese concept of kata in the martial arts. A Different Way to Teach and Learn Programming. The Bowling Game Kata by Robert C. The Prime Factors Kata by Robert C. Computer programming is the process of designing and building an executable computer program for accomplishing a specific computing task. Related tasks include testing, debugging, maintaining a program’s source code, implementation of build systems, and management of derived artifacts such as machine code of computer programs.

Ada Lovelace, whose notes added to the end of Luigi Menabrea’s paper included the first algorithm designed for processing by an Analytical Engine. She is often recognized as history’s first computer programmer. Data and instructions were once stored on external punched cards, which were kept in order and arranged in program decks. In the 1880s Herman Hollerith invented the concept of storing data in machine-readable form. Machine code was the language of early programs, written in the instruction set of the particular machine, often in binary notation.

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Wired control panel for an IBM 402 Accounting Machine. High-level languages allow the programmer to write programs in terms that are syntactically richer, and more capable of abstracting the code, making it targetable to varying machine instruction sets via compilation declarations and heuristics. Programs were mostly still entered using punched cards or paper tape. See computer programming in the punch card era. This section needs additional citations for verification.

Whatever the approach to development may be, the final program must satisfy some fundamental properties. Reliability: how often the results of a program are correct. This includes situations such as incorrect, inappropriate or corrupt data, unavailability of needed resources such as memory, operating system services and network connections, user error, and unexpected power outages. Usability: the ergonomics of a program: the ease with which a person can use the program for its intended purpose or in some cases even unanticipated purposes. Such issues can make or break its success even regardless of other issues. Maintainability: the ease with which a program can be modified by its present or future developers in order to make improvements or customizations, fix bugs and security holes, or adapt it to new environments.

In computer programming, readability refers to the ease with which a human reader can comprehend the purpose, control flow, and operation of source code. It affects the aspects of quality above, including portability, usability and most importantly maintainability. Readability is important because programmers spend the majority of their time reading, trying to understand and modifying existing source code, rather than writing new source code. Unreadable code often leads to bugs, inefficiencies, and duplicated code. Following a consistent programming style often helps readability. However, readability is more than just programming style. Many factors, having little or nothing to do with the ability of the computer to efficiently compile and execute the code, contribute to readability.

Various visual programming languages have also been developed with the intent to resolve readability concerns by adopting non-traditional approaches to code structure and display. The academic field and the engineering practice of computer programming are both largely concerned with discovering and implementing the most efficient algorithms for a given class of problem. For this purpose, algorithms are classified into orders using so-called Big O notation, which expresses resource use, such as execution time or memory consumption, in terms of the size of an input. There exist a lot of differing approaches for each of those tasks. One approach popular for requirements analysis is Use Case analysis. It is very difficult to determine what are the most popular of modern programming languages.

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