The Python online test assesses candidates' knowledge of programming in the Python language and understanding of its native data structures.
It's an ideal test for pre-employment screening. A good Python developer needs to be able not only to solve problems using Python as the programming language but also be familiar with Python native data structures and language constructs.
This online test requires candidates to solve coding problems in Python as well as to find and fix bugs in a Python program.
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Sample Free Questions
File Owners
10min
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Easy
Easy
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CODE
Python
Language
Public
Python
Python is a widely used, high-level, general-purpose, interpreted, dynamic programming language. Having a basic familiarity with the programming language used on the job is a prerequisite for quickly getting up to speed.
Language
A programmer should use a language as a tool, always taking advantage of language-specific data types and built-in functions.
Public
Public questions (free account) are common interview questions. They are great for practicing, or if you want to filter candidates using the classic problems.
Implement a group_by_owners function that:
- Accepts a dictionary containing the file owner name for each file name.
- Returns a dictionary containing a list of file names for each owner name, in any order.
For example, for dictionary {'Input.txt': 'Randy', 'Code.py': 'Stan', 'Output.txt': 'Randy'} the group_by_owners function should return {'Randy': ['Input.txt', 'Output.txt'], 'Stan': ['Code.py']}.
Merge Names
10min
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Easy
Easy
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CODE
Python
List
Public
Python
Python is a widely used, high-level, general-purpose, interpreted, dynamic programming language. Having a basic familiarity with the programming language used on the job is a prerequisite for quickly getting up to speed.
List
Lists are one of the most commonly used data structures and every programmer should be familiar with the operations they provide.
Public
Public questions (free account) are common interview questions. They are great for practicing, or if you want to filter candidates using the classic problems.
Implement the unique_names method. When passed two lists of names, it will return a list containing the names that appear in either or both lists. The returned list should have no duplicates.
For example, calling unique_names(['Ava', 'Emma', 'Olivia'], ['Olivia', 'Sophia', 'Emma']) should return a list containing Ava, Emma, Olivia, and Sophia in any order.
Pipeline
10min
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Hard
Hard
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CODE
Python
Closures
Public
Python
Python is a widely used, high-level, general-purpose, interpreted, dynamic programming language. Having a basic familiarity with the programming language used on the job is a prerequisite for quickly getting up to speed.
Closures
Closures are an important concept in any programming language in which functions are first-class citizens.
Public
Public questions (free account) are common interview questions. They are great for practicing, or if you want to filter candidates using the classic problems.
As part of a data processing pipeline, complete the implementation of the pipeline method:
- The method should accept a variable number of functions, and it should return a new function that accepts one parameter arg.
- The returned function should call the first function in the pipeline with the parameter arg, and call the second function with the result of the first function.
- The returned function should continue calling each function in the pipeline in order, following the same pattern, and return the value from the last function.
For example, pipeline(lambda x: x * 3, lambda x: x + 1, lambda x: x / 2) then calling the returned function with 3 should return 5.0.
Premium Questions
The premium question library contains our unique, hand-crafted questions. We offer a refund if you find any of them answered online.
Questions
Document Store, Crop Ratio, Programmer Teacher, Greeter, Chain Link, Is Alpha, Log Parser, Medical Record, Needle, Numbers to Text, Paragraph, Products, Username, Word Count, Entry, Unique Numbers, Max Sum, Hobbies, Tuple Slice, Reward Points, Shipping, Read First Line, Read Write Execute, Log Patch, Cargo Ship, Moving Total, Category Tree, Rare, Date Transform, SegmentSkills
PythonPython
Python is a widely used, high-level, general-purpose, interpreted, dynamic programming language. Having a basic familiarity with the programming language used on the job is a prerequisite for quickly getting up to speed.
Bug fixing
Everyone makes mistakes. A good programmer should be able to find and fix a bug in their or someone else's code.
Language
A programmer should use a language as a tool, always taking advantage of language-specific data types and built-in functions.
OOP
Object-oriented programming is a paradigm based on encapsulating logic and data into objects, which may then contain fields and procedures. Many of the most widely used programming languages are based on OOP, making it a very important concept in modern programming.
Data structures
Choosing the right data structure to solve a problem can have huge implications on the performance of an application. Knowing when to use a specific data structure is one of the most important skills for a programmer.
List comprehension
A list comprehension is a syntactic construct for creating a list based on existing lists. As this is a common task, every programmer should be familiar with it.
Strings
The string data structure is used to represent text. It is one of the most commonly used data structures. Therefore, every programmer should be skilled at string manipulation.
Serialization
Familiarity with data serialization to and from formats such as XML and JSON is important as it is commonly used for interprocess communication
Collections
A collection is a grouping of a variable number of data items. Many programming languages implement support for custom collections in their class libraries or utilities, as such it's an important topic for a developer to be familiar with.
Stream
A stream is a sequence of data elements made available over time. It is particularly useful for tasks that may benefit from being asynchronous, including tasks such as I/O processing or reading from a file, and as such is important for developers to understand.
Sorting
Every programmer should be familiar with data-sorting methods, as sorting is very common in data-analysis processes.
Algorithmic thinking
When designing and/or analyzing an algorithm or data structure, it is important to consider the performance and structure of an implementation. Algorithmic thinking is one of the key traits of a good programmer, especially one working on complex or performance-critical code.
Searching
Every programmer should be familiar with data-searching methods, as they are very common in data-analysis processes.
Iteration
Iteration is the act of repeating a process, or cycling through a collection. Iteration is one of the fundamental flow control tools available to developers.
List
Lists are one of the most commonly used data structures and every programmer should be familiar with the operations they provide.
Arithmetic
Arithmetic is a fundamental branch of mathematics. An understanding of arithmetic concepts, and their application, is important for every candidate.
Exceptions
Exceptions exist in most modern programming languages, making it important for a programmer to understand them and know how to handle them.
Monkey patching
Monkey Patching is a method of either adding new or overriding existing functionality without the creation of a new type. As such it's an important tool for developers to be familiar with.
Score Distribution
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