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Don't Fear Algos

Honestly speaking, the title is a re-assurance to myself.

All this time, I've been involved with algorithms day-in-and-day-out, but I've never really felt competent in Algorithms, sub-consciously equating them with the knowledge of, monsters which are, C++ and Java.

I've reached the point where the validation about Algorithmic knowledge has become intrinsic and I wish to be satisfied with my honest effort.

The goal of the entire effort is to be proficient in Algorithms, be confident in my bones about my grasp of these ideas.

Programming Languages

OCAML

LATER

  • Scala
  • Clojure(Script)
  • Kotlin
  • jRuby
  • Julia
  • Hy

** I'll rely on SageMath and Mathematica for understanding and exploring various mathematical ideas and concepts.

Books

  • Introduction to Algorithms, CLRS
  • Algorithms, Sedgewick
  • An Introduction to Analysis of Algorithms, Sedgewick
  • Cracking the Coding Interview, McDowell
  • Discrete Mathematics, Rosen
  • Artificial Intelligence, Norvig
  • Analytic Combinatorics, Sedgewick

Online Courses

Coursera

  • Algorithmic Toolbox

  • Algorithms on Graphs

  • Algorithms on Strings

  • Python Data Structures

  • Functional Programming Principles in Scala

  • Functional Program Design in Scala

  • Parallel Programming

  • Julia Scientific Programming

  • Principles of Computing, Part-2

  • Algorithms, Part-1

  • Algorithms, Part-2

  • Divide and Conquer, Sorting and Searching and Randomized Algorithms

  • Graph Search, Shortest Paths and Data Structures

  • Greedy Algorithms, Minimum Spanning Trees and Dynamic Programming

  • Shortest Paths Revisited, NP-Complete Problems and What to do about them.

  • Analysis of Algorithms

  • Data Structures

  • Advanced Algorithms and Complexity

  • Discrete Optimization

  • Game Theory, Part-1

  • Game Theory, Part-2

  • Approximation Algorithms, Part-1

  • Approximation Algorithms, Part-2

  • Games Without Chance

  • Model Thinking

  • Programming Language, Part- A

  • Programming Language, Part- B

  • Programming Language, Part- C

  • Principles of Computing, Part-1

  • Algorithmic Thinking, Part-1

  • Algorithmic Thinking, Part-2

Later, perhaps

  • EdX
  • XueTang
  • Stepik
  • Khan Academy

Of the various courses, I've completed in these online platforms, I'd much rather do them again, with Julia, Racket and Scala in mind, deep inside ths feels right and makes me inspired to really understand the essence of these courses.

Coding Platforms

  • Rosetta Code
  • HackerRank
  • HackerEarth
  • Project Euler
  • ACM ICPC
 Courage is one part brave, three part fool - Brom, Eragon

I, of course, shall peek solutions to various ways of doing things after an honest attempts. I realize that this project will take a lot of time so I'm in for the long run ;P

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