Should I use C++ or python for competitive programming?

Should I use C++ or python for competitive programming?

For competitive programming, C++ is the obvious choice. Most of the data structures are already implemented and available through STL. Plenty of algorithms are also implemented in the same. Also, when programmed correctly, your code shall execute real quick, much faster than Python.

Does Netflix use python?

As per developers at Netflix, Python is used through the “full content lifecycle,” from security tools to its recommendation algorithms, and its proprietary content distribution network (CDN) Open Connect. Most of the network devices at Netflix are managed by Python-based applications.

Does Apple use python?

The most common programming languages I saw that Apple uses are: Python, SQL, NoSQL, Java, Scala, C++, C, C#, Object-C and Swift. Apple also requires a bit of experience in the following frameworks / technologies as well: Hive, Spark, Kafka, Pyspark, AWS and XCode.

Do You Know Your coding style in competitive programming?

At the very beginning to competitive programming, barely anyone knows the coding style to be followed. Below is an example to help you understand how problems are crafted in competitive programming. Let us consider below problem statement as an example.

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What is time complexity of algorithm/code?

Time Complexity of algorithm/code is not equal to the actual time required to execute a particular code but the number of times a statement executes. We can prove this by using time command.

How can I jump to competitive programming?

To jump in competitive programming you can follow an approach of project-based learning in which, once you know the syntax of the language and basic fundamentals, you can create multiple challenging projects and after making a lot of projects you will realize how logics work in development and that will help you to increase programming ability.

How to deal with complexity in software development?

Complexity is Complex – Do not be obsessed with lower and lower execution time. Do not waste time on over-optimizing your solution. If the solution is accepted, move on to next problem. First just get into the habit of coding daily and then worry about complexities.

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