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1. Python Competitive Programming Cheat Sheet Answers
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Python is one of the preferred languages among coders for most of the competitive programming challenges. Most of the problems are easily computed in a reasonable time frame using python.

For some of the complex problem, writing fast-enough python code is often a challenge. Below are some of the pythonic code constructs that help to improve the performance of your code in competitive coding −

1. Strings concatenation: Do not use the below construct.

Above method gives huge time overhead.Instead, try to use this (join method) −

2. The Map function

Generally, you have an input in competitive coding, something like −

1234567

To get them as a list of numbers simply

Always use the input() function irrespective of the type of input and then convert it using the map function.

The map function is one of the beautiful in-built function of python, which comes handy many times. Worth knowing.

3. Collections module

In case we want to remove duplicates from a list. While in other languages like Java you may have to use HashMap or any other freaky way, however, in pytho it's simply

Also, be careful to use extend() and append() in lists, while merging two or more lists.

4. Language constructs

It's better to write your code within functions, although the procedural code is supported in Python.

is much better than

It is faster to store local variables than globals because of the underlying Cpython implementation.

Python Competitive Programming Cheat Sheet Answers

5. Use the standard library:

It’s better to use built-in functions and standard library package as much as possible. There, instead of −

Use this −

Python Programming Language Cheat Sheet

Likewise, try to use the itertools(standard library), as they are much faster for a common task. For example, you can have something like permutation for a loop with a few lines of code.

6. Generators

Python Basics Cheat Sheet

Generators are excellent constructs to reduce both, the memory footprint and the average time complexity of the code you’ve written.