You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
65 lines
5.2 KiB
65 lines
5.2 KiB
---
|
|
id: programming-languages-for-coding-interviews
|
|
title: Which programming language to use for coding interviews
|
|
description: Considerations for deciding which programming language to use for coding interviews
|
|
keywords:
|
|
[
|
|
coding interview programming language,
|
|
which programming language should i use for coding interviews,
|
|
python coding interviews,
|
|
java coding interviews,
|
|
c# coding interviews,
|
|
javascript coding interviews,
|
|
]
|
|
sidebar_label: Picking a programming language
|
|
---
|
|
|
|
Does the programming language you use for coding interviews matter? The answer is yes.
|
|
|
|
Most languages let you code in any language you want - the only exception I know being Google, where they only allow candidates to pick from Java, C++, JavaScript or Python for their algorithmic coding interviews.
|
|
|
|
However, the choice you make can impact your performance much more than you'd like to believe - and this is why it is important to pick a suitable programming language early on in your coding interview preparation - and use regularly in practice.
|
|
|
|
There are 3 considerations when deciding on which programming language to use:
|
|
|
|
1. Suitability for interviews
|
|
1. Your familiarity with the language
|
|
1. Exceptions
|
|
|
|
## 1. Suitability for interviews
|
|
|
|
Some languages are just more suited for interviews - higher level languages like Python or Java provide standard library functions and data structures which allow you to translate solution to code more easily.
|
|
|
|
From my experience as an interviewer, most candidates pick Python or Java. Other commonly seen languages include JavaScript, Ruby and C++. I would absolutely avoid lower level languages like C or Go, simply because they lack many standard library functions and data structures and some may require manual memory management.
|
|
|
|
Personally, Python is my de facto choice for algorithm coding interviews because it is succinct and has a huge library of functions and data structures available. Python also uses consistent APIs that operate on different data structures, such as `len()`, `for ... in ...` and slicing notation on sequences (strings/lists/tuples). Getting the last element in a sequence is `arr[-1]` and reversing it is simply `arr[::-1]`. You can achieve a lot with minimal syntax in Python.
|
|
|
|
Java is a decent choice too but having to constantly declare types in your code means extra keystrokes which results in more typing which doesn't result in any benefit (in an interview setting). This issue will be more apparent when you have to write on a whiteboard during onsite interviews. The reasons for choosing/not choosing C++ are similar to Java. Ultimately, Python, Java and C++ are decent choices of languages.
|
|
|
|
- Recommended: Python, C++, Java, JavaScript
|
|
- Acceptable (but prefer recommended if you are familiar): Go, Ruby, PHP, C#, Swift, Kotlin
|
|
- Avoid: Haskell, Erlang, Perl, C, Matlab
|
|
- You must be mad: Brainfuck, Assembly
|
|
|
|
## 2. Your familiarity with the language
|
|
|
|
Most of the time, it is recommended that you use a language that you are extremely familiar with rather than picking up a new language just for using in interviews.
|
|
|
|
If you are under time constraints, picking up a new language just for interviewing is hardly a good idea. Languages take time to master and if you are already spending most of your time and effort on revising/mastering algorithms, there is barely spare energy left for mastering a new language. If you are familiar with using one of the mainstream languages, there isn't a strong reason to learn a new language just for interviewing.
|
|
|
|
If you have been using Java at work for a while now and do not have time to be comfortably familiar with another language, I would recommend just sticking to Java instead of picking up Python from scratch just for the sake of interviews. Doing so, you can avoid having to context switch between languages during work vs interviews. **Most of the time, the bottleneck is in the thinking and not the writing**. It takes some getting used to before one becomes fluent in a language and be able to wield it with ease.
|
|
|
|
Valid reasons to learn a new language:
|
|
|
|
- The interview requires usage of that language (domain-specific roles like mobile/front end/data science)
|
|
- You are not in a rush to start interviewing
|
|
|
|
Poor reasons to learn a new language:
|
|
|
|
- The company you are interviewing with uses that language heavily and you want to impress the interviewer/show that you fit in
|
|
- You want to show that you are trendy
|
|
|
|
## 3. Exceptions
|
|
|
|
One exception to the convention of allowing you to "pick any programming language you want" is when you are interviewing for a domain-specific position, such as Front End/iOS/Android Engineer roles, in which you would need to be familiar with coding in JavaScript, Objective-C/Swift and Java respectively. If you need to use a data structure that the language does not support, such as a Queue or Heap in JavaScript, perhaps try asking the interviewer whether you can assume that you have a data structure that implements certain methods with specified time complexities. If the implementation of that data structure is not crucial to solving the problem, the interviewer will usually allow this. In reality, being aware of existing data structures and selecting the appropriate ones to tackle the problem at hand is more important than knowing the intricate implementation details.
|