Table of Contents
Cloud Monk's Books
See Cloud Monk's Buddhist Library
Return to Cloud Monk's Package Manager Book, Cloud Monk, Cloud Monk on Leanpub, Cloud Monk Library (Cloud Monk's Book Purchases), DevOps for 20 Languages by Cloud Monk (December 2023), Functional Programming Compare and Contrast 10 Languages by Cloud Monk (2023), DevOps, Functional Programming, DevOps Bibliography, Functional Programming Bibliography, Bibliography
DevOps for 20 Languages, Tentative December 2023
- Snippet from Wikipedia: DevOps
DevOps is the integration and automation of the software development and information technology operations. DevOps encompasses necessary tasks of software development and can lead to shortening development time and improving the development life cycle. According to Neal Ford, DevOps, particularly through continuous delivery, employs the "Bring the pain forward" principle, tackling tough tasks early, fostering automation and swift issue detection. Software programmers and architects should use fitness functions to keep their software in check.
Although debated, DevOps is characterized by key principles: shared ownership, workflow automation, and rapid feedback. From an academic perspective, Len Bass, Ingo Weber, and Liming Zhu—three computer science researchers from the CSIRO and the Software Engineering Institute—suggested defining DevOps as "a set of practices intended to reduce the time between committing a change to a system and the change being placed into normal production, while ensuring high quality". However, the term is used in multiple contexts. At its most successful, DevOps is a combination of specific practices, culture change, and tools.
DevOps: DevOps for 20 Languages by Cloud Monk (December 2024), DevOps and SRE - DevOps and CI/CD
DevOps Culture, Continuous Integration, Continuous Deployment, Continuous Delivery, Infrastructure as Code, Configuration Management, Containerization, Microservices Architecture, Monitoring and Logging, Cloud Computing, Automation Tools, Version Control Systems, CI/CD Pipelines, Testing Automation, Security in DevOps (DevSecOps), Kubernetes, Docker, Ansible, Terraform, Puppet, Chef, Git, Jenkins, GitLab CI/CD, GitHub Actions, Prometheus, Grafana, Elastic Stack (ELK), Nagios, Selenium, Load Testing, Performance Testing, Code Quality Analysis, Artifact Repository, JFrog Artifactory, Sonatype Nexus, Scrum, Agile Methodologies, Lean IT, Site Reliability Engineering (SRE), Incident Management, Change Management, Project Management, Team Collaboration Tools, Virtualization, Network Automation, Database Management and Automation, Serverless Architecture, Cloud Service Providers, API Management, Service Mesh, Observability, Chaos Engineering, Cost Optimization in Cloud
Cloud Native DevOps - Microservices DevOps - DevOps Security - DevSecOps, DevOps by Programming Language, Functional Programming and DevOps, Concurrency and DevOps, Data Science DevOps - DataOps - Database DevOps, Machine Learning DevOps - MLOps, DevOps Bibliography, DevOps Courses, DevOps Glossary - Glossaire de DevOps - French, Awesome DevOps, DevOps GitHub, DevOps Topics. (navbar_devops - see also navbar_devops_focus, navbar_devsecops, navbar_cicd, navbar_agile)
Functional Programming Compare and Contrast 10 Languages, Tentative December 2023
- Snippet from Wikipedia: Functional programming
In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions. It is a declarative programming paradigm in which function definitions are trees of expressions that map values to other values, rather than a sequence of imperative statements which update the running state of the program.
In functional programming, functions are treated as first-class citizens, meaning that they can be bound to names (including local identifiers), passed as arguments, and returned from other functions, just as any other data type can. This allows programs to be written in a declarative and composable style, where small functions are combined in a modular manner.
Functional programming is sometimes treated as synonymous with purely functional programming, a subset of functional programming that treats all functions as deterministic mathematical functions, or pure functions. When a pure function is called with some given arguments, it will always return the same result, and cannot be affected by any mutable state or other side effects. This is in contrast with impure procedures, common in imperative programming, which can have side effects (such as modifying the program's state or taking input from a user). Proponents of purely functional programming claim that by restricting side effects, programs can have fewer bugs, be easier to debug and test, and be more suited to formal verification.
Functional programming has its roots in academia, evolving from the lambda calculus, a formal system of computation based only on functions. Functional programming has historically been less popular than imperative programming, but many functional languages are seeing use today in industry and education, including Common Lisp, Scheme, Clojure, Wolfram Language, Racket, Erlang, Elixir, OCaml, Haskell, and F#. Lean is a functional programming language commonly used for verifying mathematical theorems. Functional programming is also key to some languages that have found success in specific domains, like JavaScript in the Web, R in statistics, J, K and Q in financial analysis, and XQuery/XSLT for XML. Domain-specific declarative languages like SQL and Lex/Yacc use some elements of functional programming, such as not allowing mutable values. In addition, many other programming languages support programming in a functional style or have implemented features from functional programming, such as C++11, C#, Kotlin, Perl, PHP, Python, Go, Rust, Raku, Scala, and Java (since Java 8).
Functional Programming: Functional Programming Compare and Contrast 10 Languages by Cloud Monk (December 2024)
Purely Functional Languages, Purely Functional Programming Languages (Haskell, Elm, PureScript, Agda, Idris, Coq, Lean, Miranda, Erlang, F Sharp | F)
Popular Functional Programming Languages (Haskell, Scala, Clojure, F Sharp | F, Erlang, Elm, OCaml, Elixir, Racket, PureScript, Lisp, Scheme, Common Lisp, Rust, Swift, Java, Kotlin, TypeScript, JavaScript, Python, Ruby)
FP, Functional Clojure, Functional Haskell, Functional Erlang, Functional Elixir, Functional F Sharp | Functional F. Data Oriented Programming, Functional C Plus Plus | Functional C++, Functional C Sharp | Functional C, Functional Java, Functional Kotlin, Functional Scala, Functional Go, Functional Rust, Functional JavaScript (Functional React), Functional TypeScript (Functional Angular), Functional Swift; Lisp, FP (programming language), Data-Oriented Programming (DOP), Functional and Concurrent Programming, Functional Programming Bibliography - Manning's Programming Functional in, Functional Programming Glossary - Glossaire de FP - French, Awesome Functional Programming, Functional Programming Topics, Concurrency. (navbar_functional - see also , navbar_python_functional, navbar_django_functional, navbar_flask_functional, navbar_javascript_functional, navbar_typescript_functional, navbar_react_functional, navbar_angular_functional, navbar_vue_functional, navbar_java_functional, navbar_kotlin_functional, navbar_spring_functional, navbar_scala_functional, navbar_clojure_functional, navbar_csharp_functional, navbar_dotnet_functional, navbar_fsharp_functional, navbar_haskell_functional, navbar_rust_functional, navbar_cpp_functional, navbar_swift_functional, navbar_elixir_functional, navbar_erlang_functional, navbar_functional, navbar_functional_reactive)
WHERE ARE MY DATABASES INFO? Popular and Most Popular: w3techs.com and BuiltWith.com (Web Technology Usage Trends - Web and Internet Technology Usage Statistics), The Chrome User Experience Report (also known as the Chrome UX Report, or CrUX for short), Popular Frameworks, Popular Web Frameworks, Popular Libraries (Popular JavaScript Libraries, Popular Python Libraries, Popular Java Libraries), Standard Libraries, Popular Software, DB-Engines.com (Most Popular Relational Databases DBMS, NoSQL Database Management Systems and Data Stores), Most Popular Websites. Most Popular Programming Languages are determined by StackOverflow Tags, StackOverflow Developer Survey, JetBrains State of Developer Ecosystem, RedMonk Programming Language Rankings, PYPL (PopularitY of Programming Language) Index, TIOBE Index, GitHub Octoverse, GitHub Star Ranking for Repositories, Most GitHub Stars, Most GitHub Forks, Rosetta Code: (1. Python, 2. JavaScript, 3. Java, 4. C Sharp | C, 5. CPP | C++, 6. PHP, 7. TypeScript, 8. Ruby, 9. C, 10. Swift, 11. R, 12. Objective-C, 13. Scala, 14. Go, 15. Kotlin, 16. Rust, 17. Dart, 18. Lua, 19. Perl, 20. Haskell, 21. Julia, 22. Clojure, 23. Elixir, 24. F Sharp | F, 25. Assembly, 26. Shell/bash, 27. SQL, 28. Groovy, 29. PowerShell, 30. MATLAB, 31. VBA, 32. Racket, 33. Scheme, 34. Prolog, 35. Erlang, 36. Ada, 37. Fortran, 38. COBOL, 39. VB.NET, 40. Lisp, 41. SAS, 42. D, 43. LabVIEW, 44. PL/SQL, 45. Delphi/Object Pascal, 46. ColdFusion, 47. CLIST, 48. REXX. Old Programming Languages: APL, Pascal, Algol, PL/I). (navbar_popular - see also navbar_famous, navbar_best_practices, navbar_anti-patterns)
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