Competitive Programming
Abhimanyu Aryan | October 03, 2018 · 1 min read
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In Competitive Programming, time is a very important factor, so we are always looking to improve our time. We always try to minimize the effort when solving the problem. One of the things that we consider the speed with which we write or WPM (Word per minute, Words per minute).
I recently found a very interesting website named project euler. I quickly felt in love with it. The idea is to dive deeper into algorithms. Use efficient algorithms and build my own maths library in Python
Like for example we get inbuilt function like floor, sqrt etc in maths library of every language but I wanted to build my own library and see what how it pans across
Link to my Github Repo: Project Euler
Benchmark Machine: Macbook Pro, 2.5 GHz Intel Core i7, 16 GB 1600 MHz DDR3
Why Python?
I wanted to use a slow language so I could design smart solutions instead of just bruce force solutions. Also python is less syntax so it gives me freedom to focus more on core logic
