Whatever you decide, slowly but surely start solving harder problems. Hard must come– Some people say Stick to one website for practice while others believe you must taste all bunches.First just get into the habit of coding daily and then worry about complexities. If the solution is accepted, move on to next problem. Do not waste time on over-optimizing your solution. Complexity is Complex– Do not be obsessed with lower and lower execution time.We should make it a must habit to spend some short time during peak hours in a programming forum where top coders usually hangout sharing their insights and often get into discussions. Short contest is the real competitive programming. Short is sweet– Long contest is good for learning but try to take part in more and more short contests.Trees, Graphs, Algos– Make sure you are thorough with the concepts of trees, graphs and important algorithms as there is at least one question making use of their applications in every contest or a company hiring round.For example, you look at the problem and you can tell that it’s a simple graph problem but you do not know anything about graph. Getting Edgy- During practice always solve that problem that is just at the edge of your knowledge i.e., you don’t exactly know how to solve the problem but you know what you should know to solve that problem.Mathematics is great area to start competitive programming. Make yourself written notes while studying these concepts. Write before coding– Implement all algorithms yourself rather than copying from someone else.Adapt the habit of reading which most of the youngsters don’t have nowadays. Like if you learn dynamic programming, try to finish up all its problems. Solve questions daily, one or two if not more!! After going through a new algorithm or technique, we should immediately search for its applications and attempt problems. Learn -Practice-Repeat -Try to learn a new concept on a daily basis.ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.Full Stack Development with React & Node JS(Live).Java Programming - Beginner to Advanced.Data Structure & Algorithm-Self Paced(C++/JAVA).Data Structure & Algorithm Classes (Live).
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