Python Online Test
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Sign Up To Use This TestThe 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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Python Developer
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Sample Free Questions
File Owners
10min
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Easy
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CODE
Python
Dictionary
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.
Dictionary
A dictionary (or associative array) is a data type composed of a collection of key-value pairs, where each possible key appears at most once in the collection. It is used when we need to access items by their keys.
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
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CODE
Python
Lists
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.
Lists
Lists are collections that act as dynamic arrays. Lists offer the flexibility of dynamically sized arrays, the simplicity of access of arrays, and are more performant than more ubiquitous collections in most scenarios.
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
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CODE
Python
Closures
Higher order function
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.
Higher order function
A higher order function is a function that takes another function as an argument, or returns another function. Developers often use them for writing reusable code.
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.
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Document Store, Greeter, Is Alpha, Needle, Word Count, Max Sum, Shipping, Read First Line, Read Write Execute, Log Patch, Segment, Numbers to Text, Cargo Ship, Category Tree, Chain Link, Crop Ratio, Date Transform, Veterinarian, Hobbies, Log Parser, Medical Record, Moving Total, Paragraph, Products, Book Sale, Reward Points, Tuple Slice, Unique Numbers, Username, Language TeacherSkills
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.
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.
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.
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.
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.
Lists
Lists are collections that act as dynamic arrays. Lists offer the flexibility of dynamically sized arrays, the simplicity of access of arrays, and are more performant than more ubiquitous collections in most scenarios.
Tuples
A tuple is an immutable collection which is ordered and unchangeable. It is a common collection in many programming languages.
Dictionary
A dictionary (or associative array) is a data type composed of a collection of key-value pairs, where each possible key appears at most once in the collection. It is used when we need to access items by their keys.
Linked list
A linked list is a linear collection of data elements where each element points to the next. It is a data structure consisting of a collection of nodes which together represent a sequence. It is usually used for advanced scenarios where we need fast access to the next element, or when we need to remove an element from anywhere in the collection.
Integer division
Integer division is division in which the fractional part (remainder) is discarded. Knowing this is important for optimal implementation of some algorithms and for avoiding common bugs.
Regex
A regular expression (regex) is a special text string for describing a search pattern. It is a common way for extracting data from text.
Queue
A queue is a collection of items that are maintained in a sequence and can be modified by the addition of entities at one end of the sequence and removal from the other end of the sequence. It is the collection to be used when first-in-first-out (FIFO) collection is needed.
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.
Serialization
Familiarity with data serialization to and from formats such as XML and JSON is important as it is commonly used for interprocess communication
XML
Extensible Markup Language (XML) is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. The design goals of XML emphasize simplicity, generality, and usability across the Internet. This is one of the most used formats for exchanging data over the web.
Named tuple
Named Tuple is a tuple where each value has a preassigned name. It allows accessing values not just by index, but also by name. Among other things, it can increase the readability and maintainability of the code.
Set
A set is a collection of distinct objects. It's one of the most used types of collection, alongside arrays, lists, and maps. There are many different types of set, each with multiple specific optimizations and use cases. It is, therefore, one of the most important collections for a developer to be familiar with.
JSON
JSON is an open-standard format that uses human-readable text to transmit data objects consisting of attribute-value pairs. It's the most common data format used for asynchronous browser/server communication.
Sorting
Every programmer should be familiar with data-sorting methods, as sorting is very common in data-analysis processes.
Inheritance
In object-oriented programming, inheritance is the mechanism of basing a class upon another class, retaining similar implementation. Inheritance allows programmers to reuse code and is a must know topic for every programmer who works with OOP languages.
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.
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