Table of Contents
History of Computer Programming
History of computer programming
- Snippet from Wikipedia: Computer programming
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages. Programmers typically use high-level programming languages that are more easily intelligible to humans than machine code, which is directly executed by the central processing unit. Proficient programming usually requires expertise in several different subjects, including knowledge of the application domain, details of programming languages and generic code libraries, specialized algorithms, and formal logic.
Auxiliary tasks accompanying and related to programming include analyzing requirements, testing, debugging (investigating and fixing problems), implementation of build systems, and management of derived artifacts, such as programs' machine code. While these are sometimes considered programming, often the term software development is used for this larger overall process – with the terms programming, implementation, and coding reserved for the writing and editing of code per se. Sometimes software development is known as software engineering, especially when it employs formal methods or follows an engineering design process.
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Programming: Programming languages
Variables and Data Types, Control Structures, Functions and Methods, Object-Oriented Programming (OOP), Functional Programming, Procedural Programming, Event-Driven Programming, Concurrent and Parallel Programming, Error Handling and Debugging, Memory Management, Recursion, Algorithms, Data Structures, Design Patterns, Software Development Life Cycle (SDLC), Version Control Systems, Database Programming, Web Development, Mobile App Development, Game Development, Machine Learning and AI Programming, Network Programming, API Development, Security in Programming, Testing and Quality Assurance, User Interface and User Experience Design, Scripting Languages, Assembly Language, High-Level Programming Languages, Low-Level Programming Languages, Compiler Design, Interpreter Design, Garbage Collection, Regular Expressions, Graphical User Interface (GUI) Programming, Command Line Interface Development, Cross-Platform Development, Cloud Computing in Programming, Blockchain Programming, IoT Programming, Embedded Systems Programming, Microservices Architecture, Serverless Architecture, Big Data Technologies, Data Visualization, Data Mining and Analysis, Natural Language Processing (NLP), Computer Graphics Programming, Virtual Reality (VR) Development, Augmented Reality (AR) Development, Cryptography in Programming, Distributed Systems, Real-Time Systems Programming, Operating System Development, Compiler and Interpreter Development, Quantum Computing, Software Project Management, Agile Methodologies, DevOps Practices, Continuous Integration and Continuous Deployment (CI/CD), Software Maintenance and Evolution, Software Licensing, Open Source Development, Accessibility in Software Development, Internationalization and Localization, Performance Optimization, Scalability Techniques, Code Refactoring, Design Principles, API Design, Data Modeling, Software Documentation, Peer-to-Peer Networking, Socket Programming, Front-End Development, Back-End Development, Full Stack Development, Secure Coding Practices, Code Reviews, Unit Testing, Integration Testing, System Testing, Functional Programming Paradigms, Imperative Programming, Declarative Programming, Software Architecture, Cloud-Native Development, Infrastructure as Code (IaC), Ethical Hacking for Developers, Artificial Intelligence Ethics in Programming, Software Compliance and Standards, Software Auditing, Debugging Tools and Techniques, Code Optimization Techniques, Software Deployment Strategies, End-User Computing, Computational Thinking, Programming Logic and Techniques, Advanced Data Management
Agile, algorithms, APIs, asynchronous programming, automation, backend, CI/CD, classes, CLI, client-side, cloud (Cloud Native-AWS-Azure-GCP-IBM Cloud-IBM Mainframe-OCI), comments, compilers, concurrency, conditional expressions, containers, control flow, databases, data manipulation, data persistence, data science, data serialization, data structures, dates and times, debugging, dependency injection, design patterns, DevOps, distributed software, Docker, error handling, file I/O, frameworks, frontend, functions, functional programming, GitHub, history, Homebrew, IDEs, installation, JetBrains, JSON, JSON Web Token (JWT), K8S, lambdas, language spec, libraries, linters, Linux, logging, macOS, methods, ML, microservices, mobile dev, modules, monitoring, multi-threaded, network programming, null, numbers, objects, object-oriented programming, observability, OOP, ORMs, packages, package managers, performance, programmers, programming, reactive, refactoring, reserved words, REST APIs, RHEL, SDK, secrets, security, serverless, server-side, Snapcraft, SQL, StackOverflow, standards, standard library, statements, scope, scripting, syntax, systems programming, TDD, testing, tools, type system, web dev, variables, versions, Ubuntu, unit testing, Windows; topics-courses-books-docs. (navbar_programming - see also navbar_variables, navbar_programming_libraries, navbar_data_structures, navbar_algorithms, navbar_software_architecture, navbar_agile)