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I will be working through small projects to help build my foundation for learning more about solving algorithms.

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workingSmlProjects

I will be working through small projects to help build my foundational learning, solving algorithms.

How πŸ₯Έ

I will practice using small coding exercises.
1. Identify a problem
2. Set a timer (45 min)
3. work out solving using pen and paper first
4. Identify a Coding sandbox to use, to check code after working through to the solution.
5. Document problem in current README.md
6. Document practice code in current README.md.. (Take a few πŸ‘  πŸ‘Ÿ πŸ‘’ steps with me)

Methods to use

What are the expected values for each I = Input O = Output E = Edge Cases A = Assumptions, are where you gain clarity with the interviewer.

Tip: draw out your understanding

Exposing πŸ₯΄

I need to fell more comfortable with sharing my thoughts during solving problems.  I often find myself stuck thinking.. Not that it is a bad action. 
However, while working with a partner I leave them guessing my next move.  

I should also feel more comfortable with sharing the algorithm that I have identified as a possible algorithm.

Languages

  • C# ( πŸ₯° )
  • Python ( πŸ™ƒ )

Resources

leetCode the Right Way

ZERO to PASSING YT_vid

C# Tutorial

Exercises that will be worked on

  • Main method
    • public static void Main(string[] args)
  • Defining/Declaring and calling a function
    • <visibility (public)> <return type (void, string, int, bool) <name (camelCase)> ( (string sentence, string charsss)) { string result = sentence + charsss; return result; }
  • Specify different input and output argument types
    • Console.WriteLine("This string sentence is and OUTPUT!");
    • string howAboutAnInput;
      • howAboutAnInput = Console.ReadLine();
  • Iterate over different collections (arrays, lists, sets, strings)
  • Type conversions (how do I convert a char to string, a string to int, etc ...)

Problems

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I will be working through small projects to help build my foundation for learning more about solving algorithms.

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