Mel Editor User Guide.
Popular Programming Languages.
This mindmap diagram provides a categorization of various programming languages (2024) split by their primary functionality and usage:
1) Functional Programming: Emphasizes functions and immutable data. Languages include Haskell, Lisp, Clojure, Erlang, F#, and OCaml.
2) Object-Oriented Programming: Focuses on objects and classes to structure code. Languages include Java, C++, Python, Ruby, Smalltalk, Swift, and C#.
3) Procedural Programming: Based on procedure calls. Languages include C, Pascal, Fortran, COBOL, Ada, and BASIC.
4) Scripting Languages: Designed for automating tasks. Languages include JavaScript, Perl, PHP, Python, Ruby, and Shell.
5) Logic Programming: Uses formal logic to express computation. Languages include Prolog, Datalog, and Mercury.
6) Concurrent Programming: Handles multiple computations simultaneously. Languages include Go, Rust, Erlang, Scala, Java, and Clojure.
7) Systems Programming: Focuses on system software development. Languages include Rust, C, C++, Go, Assembly, and Zig.
8 ) Web Development: Languages and technologies for web applications. Includes JavaScript, TypeScript, Ruby, PHP, Python, and HTML/CSS.
9) Mobile Development: Languages for mobile app development. Includes Swift, Kotlin, Java, Dart, and Objective-C.
10) Game Development: Specialized languages for game design. Includes C#, C++, Lua, Java, Python, and UnrealScript.
11) Scientific Computing: Languages for scientific research and numerical analysis. Includes MATLAB, R, Julia, Python, and Fortran.
12) Data Analysis: Languages and tools for analyzing data. Includes R, Python, Julia, SAS, MATLAB, and SPSS.
13) Machine Learning: Languages and frameworks for ML applications. Includes Python, R, Julia, JavaScript, and Scala.
14) Assembly Languages: Low-level languages for direct hardware manipulation. Includes x86 Assembly, ARM Assembly, MIPS Assembly, and more.
This mindmap diagram serves as a comprehensive guide to understanding the diverse landscape of programming languages available today, helping in selecting the right language based on specific requirements and use cases at common.
REST API Operations.
Here are roughly summarized the key differences between RESTful and RESTless web services (it does not have to be strictly valid):
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1. Protocol
RESTful services use REST architectural style,
RESTless services use SOAP protocol.
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2. Business logic / Functionality
RESTful services use URL to expose business logic,
RESTless services use the service interface to expose business logic.
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3. Security
RESTful inherits security from the underlying transport protocols,
RESTless defines its own security layer, thus it is considered as more secure.
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4. Data format
RESTful supports various data formats such as HTML, JSON, text, etc,
RESTless supports XML format.
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5. Flexibility
RESTful is easier and flexible,
RESTless is not as easy and flexible.
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6. Bandwidth
RESTful services consume less bandwidth and resource,
RESTless services consume more bandwidth and resources.
RESTless API Operations.
Here are roughly summarized the key differences between RESTful and RESTless web services (it does not have to be strictly valid):
————————————————————-
1. Protocol
RESTful services use REST architectural style,
RESTless services use SOAP protocol.
————————————————————-
2. Business logic / Functionality
RESTful services use URL to expose business logic,
RESTless services use the service interface to expose business logic.
————————————————————-
3. Security
RESTful inherits security from the underlying transport protocols,
RESTless defines its own security layer, thus it is considered as more secure.
————————————————————-
4. Data format
RESTful supports various data formats such as HTML, JSON, text, etc,
RESTless supports XML format.
————————————————————-
5. Flexibility
RESTful is easier and flexible,
RESTless is not as easy and flexible.
————————————————————-
6. Bandwidth
RESTful services consume less bandwidth and resource,
RESTless services consume more bandwidth and resources.