My computer science resources

My computer science resources

1. programming

   • paradigms
     • OOP - object-oriented programming
       • design patterns
     • FP - functional programming
       • design patterns
         • Monad
   • languages
     • Why we need new languages?
       • they have build on some base principles
     • c++
       • principles
         • zero-overhead
       • guidelines
         • https://github.com/isocpp/CppCoreGuidelines/blob/master/CppCoreGuidelines.md
     • language types
       • IDL ( interface description language)
         • ASN.1
         • protocol buffers
           • example message { }
     • Python
       • principles
         • easy to learn
       • features
   • evaluation types
     • lazy https://en.wikipedia.org/wiki/Lazy_evaluation
       • simulate - it is possible to simulate lazy evaluation in language which not support it e.g. python generators
         • python generators
     • eager (greedy, strict)
   • techniques
     • TDD
       • problems
         • Should tests structure be one-to-one correspondence to tests structure? https://github.com/unclebob/unclebob.github.io/blob/master/uncle-bob/_posts/2017-03-03-TDD-Harms-Architecture.markdown
         • fragile tests
           • A test fails to compile or run when the system under test (SUT) is changed in ways that do not affect the part the test is exercising.
       • tests decoupling
         • tests structures should not be one-to-one correspondence with production code structure
           • tests structure != production code structure