"Computer programming is the process of performing particular computations (or more generally, accomplishing specific computing results), usually by designing and building executable computer programs."
Programming is the process of writing and designing instructions that a computer can execute to perform specific tasks.
Algorithms: The process of designing and analyzing algorithms for solving specific problems.
Data Structures: The organization and manipulation of data for efficient access and modification.
Programming Languages: The languages in which coding is done, different syntaxes, semantics, paradigms, and features.
Object-Oriented Programming: A programming method that is based on the idea of objects, which can contain data and functions.
Mathematics and Statistics: The application of mathematical concepts to data science, linear algebra, calculus, probability, etc.
Machine Learning: A subfield of artificial intelligence that deals with building systems that can learn and improve from data.
Data Analysis: The process of inspecting, cleaning, transforming, and modeling data to discover useful information.
Databases: Systems that store and organize structured and unstructured data to allow for efficient querying.
Web Development: The construction of websites and web applications, including HTML, CSS, JavaScript, and server-side technologies.
Git and Version Control: Tools that help manage software development projects and track changes to source code.
Machine Learning: A type of programming that involves building algorithms and models that can learn from data and improve performance over time.
Natural Language Processing: Programming that deals with language-related tasks such as speech recognition, language generation, and natural language understanding.
Data Engineering: A type of programming that involves designing and maintaining systems that are used for storing, processing, and analyzing large and complex data sets.
Computer Vision: Programming for designing systems that can interpret visual data from digital images or videos.
Data Visualization: Programming focused on designing and creating visual representations of data to help in making better decisions.
Artificial Intelligence: A type of programming involving creating intelligent machines that can perform tasks typically requiring human intelligence, such as speech recognition, decision making, and natural language processing.
Deep Learning: A subfield of machine learning that involves neural networks with many layers, making it ideal for complex problems.
Web Development: Programming focused on building and maintaining websites and web applications.
Data Science: Programming focused on analyzing data and deriving useful insights from it.
Big Data: Programming focused on processing and managing extremely large and complex data sets that cannot be processed in traditional ways.
"Programming involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms."
"The purpose of programming is to find a sequence of instructions that will automate the performance of a task (which can be as complex as an operating system) on a computer, often for solving a given problem."
"The source code of a program is written in one or more languages that are intelligible to programmers, rather than machine code, which is directly executed by the central processing unit."
"Compiling takes the source code from a low-level programming language and converts it into machine code. Transpiling, on the other hand, takes the source-code from a high-level programming language and converts it into bytecode."
"Often the term software development is more likely used for this larger overall process – whereas the terms programming, implementation, and coding tend to be focused on the actual writing of code."
"Proficient programming usually requires expertise in several different subjects, including knowledge of the application domain, specialized algorithms, and formal logic."
"Tasks accompanying and related to programming include testing, debugging, source code maintenance, implementation of build systems, and management of derived artifacts."
"Software engineering combines engineering techniques and principles with software development."
"Reverse engineering is the practice of seeking to understand an existing program so as to re-implement its function in some way."
"To produce machine code, the source code must either be compiled or transpiled."
"Proficient programming usually requires expertise in several different subjects, including knowledge of the application domain, specialized algorithms, and formal logic."
"Machine code is directly executed by the central processing unit."
"Programming involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms."
"The purpose of programming is to find a sequence of instructions that will automate the performance of a task (which can be as complex as an operating system) on a computer, often for solving a given problem."
"The end result of programming is the design and building of executable computer programs."
"Tasks accompanying and related to programming include testing, debugging, source code maintenance, implementation of build systems, and management of derived artifacts. Often the term software development is more likely used for this larger overall process – whereas the terms programming, implementation, and coding tend to be focused on the actual writing of code."
"Software engineering combines engineering techniques and principles with software development."
"Programming involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms."
"The purpose of programming is to find a sequence of instructions that will automate the performance of a task (which can be as complex as an operating system) on a computer, often for solving a given problem."