- 검증된 기술
- 기간
- 110 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python 3.x, Logical thinking, Sequence, Soft Skills
프로그래밍 작업 - 레벨: 어려움
Python | NumPy | Graph Convolutional Networks - Implement a simple Graph Convolution Network.
Python online tests
DevSkiller Python online tests are a unique form of testing structured to help your business find the right Python developer. Python online tests provide a platform to accurately screen each applicant’s abilities through a series of Python interview questions and tests.
DevSkiller Python online tests are fueled by the RealLifeTesting™ methodology, replicating real-world scenarios to test applicants within a controlled environment. DevSkiller Python online tests can help you find the right Python developer for your business.
Technologies covered:
Programming language: Python
Python frameworks and libraries: Django, Pandas, NumPy, Flask
Build tools: Setuptools
- 검증된 기술
- 기간
- 57 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python 3.x
코드 갭
에 대한 지식 평가 Python 3.x
프로그래밍 작업 - 레벨: 중간
Python | Class Programming, Customer Relationship Management App - Implement a REST API client with OOP techniques using
Python 3.
- 검증된 기술
- 기간
- 72 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python
코드 갭
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 중간
Python | Django | Books CRUD Application - This application uses Python 3 and Django 1.11. It contains a
Booksmodule for managing book entities.
- 검증된 기술
- 기간
- 71 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python
코드 갭
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 중간
Python | Pandas | Spreadsheet to HTML table - Process the input file and generate HTML with "general classification" table as a result.
- 검증된 기술
- 기간
- 67 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python
코드 갭
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 쉬움
Python | Flask | Split Expenses App - Write a simple app to split expenses among your friends.
- 검증된 기술
- 기간
- 96 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python
코드 갭
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 쉬움
Python | FastApi | Movie Collection Management App - Make tests pass by implementing the missing features in using Python 3 and FastApi
- 검증된 기술
- 기간
- 97 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python 3.x
코드 갭
에 대한 지식 평가 Python 3.x
프로그래밍 작업 - 레벨: 중간
Python | FastAPI | Prediction model - Expand the current FastAPI application to let Data Scientists post their models via API, store them in a Database, view them and get some predictions out of them, based on an input value.
- 검증된 기술
- 기간
- 86 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python 3.x
코드 갭
에 대한 지식 평가 Lambdas, Python 3.x, QA
프로그래밍 작업 - 레벨: 중간
Python | API Flask - You are working as a member of a Data Science team that is responsible for creating simple linear functions to predict various economic indicators. You are a new member of the Software Development Team and your goal is to expand the current Flask application to let Data Scientists post their models via API, store them in a Database, view them and get some predictions out of them, based on an input value.
- 검증된 기술
- 기간
- 106 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python 3.x
코드 갭
에 대한 지식 평가 Flask, Microservices, Python 3.x
프로그래밍 작업 - 레벨: 중간
Python | Flask, Matplotlib | Math Models Verifier - Implement an application to assist Data Scientists in storing their models and getting the predictions from them.
- 검증된 기술
- 기간
- 93 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python 3.x
코드 갭
에 대한 지식 평가 Python 3.x
프로그래밍 작업 - 레벨: 중간
Python | REST Client for Shipping company - A simple and customizable shipment manager with a client for a REST API of a shipping company uses a simple Basic Auth and uses its own custom, serializable data structures. This task will test practical Python 3 skills as well as basic REST API interaction knowledge. This application uses
Python 3및OAuthLib 3.1.0.
- 검증된 기술
- 기간
- 63 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python 3.x
코드 갭
에 대한 지식 평가 Python 3.x
프로그래밍 작업 - 레벨: 중간
Python | Drug Analyzer - You are a member of a biotechnology programming team that is responsible for creating a system for lab technicians, which will assist them with drug analysis. Your goal is to create the application that will let them input their findings into the system, provide a meaningful analysis and verify the correctness of the data that they have sent.
- 검증된 기술
- 기간
- 76 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python
코드 갭
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 중간
Python | Currency Exchange Library
- 검증된 기술
- 기간
- 66 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python, NoSQL, MongoDB
코드 갭
에 대한 지식 평가 Python, NoSQL, MongoDB
프로그래밍 작업 - 레벨: 중간
Python | MongoDB | Stock market quotes | Recent Prices - Loading and querying stock market data with MongoDB collections.
- 검증된 기술
- 기간
- 66 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python, NoSQL, MongoDB
코드 갭
에 대한 지식 평가 Python, NoSQL, MongoDB
프로그래밍 작업 - 레벨: 어려움
Python | MongoDB | Stock market quotes | Collection - Loading and querying stock market data with MongoDB collections.
- 검증된 기술
- 기간
- 41 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 MongoDB, NoSQL
코드 갭
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 쉬움
Python | MongoDB | Stock market quotes - Load and query stock market data with MongoDB collections.
- 검증된 기술
- 기간
- 82 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Big Data, PySpark, Python
코드 갭
에 대한 지식 평가 SQL
프로그래밍 작업 - 레벨: 어려움
Python | PySpark | Fleet management corporation - Detect speeding events and verify correctness of an existing predictor.
- 검증된 기술
- 기간
- 70 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python, Spark
프로그래밍 작업 - 레벨: 중간
Python | PySpark | Customer Preference Model - Implement a Data Engineering application for preprocessing marketing data.
- 검증된 기술
- 기간
- 104 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Keras, 머신 러닝, Python
프로그래밍 작업 - 레벨: 중간
Python | NLP, Keras | Sentiment analysis of customer reviews - Perform a sentiment analysis and tagging of movie and airline customer reviews, using a multi-output neural network model.
- 검증된 기술
- 기간
- 72 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 머신 러닝, Reinforcement learning
프로그래밍 작업 - 레벨: 중간
Python | PyTorch | Reinforcement Learning | Deep Q-Network - Complete the implementation of the DQN algorithm.
- 검증된 기술
- 기간
- 35 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 쉬움
Python | NumPy | Over/Under sampling - Given sequence A, create sequence B such that B has elements from A and a given distribution across equally sized bins.
- 검증된 기술
- 기간
- 65 최대 분.
- 평가
- 자동
- 테스트 개요
-
선택형 문제
에 대한 지식 평가 Python
프로그래밍 작업 - 레벨: 쉬움
Python | PySpark | ML Logs Transformer - Complete the implementation of the logs transformation pipeline.
- 검증된 기술
- 기간
- 60 최대 분.
- 평가
- 자동
- 테스트 개요
-
DevOps task - Level: Hard
DevOps | Ubuntu | Ansible Dynamic Inventory plugin - The purpose of this task is to check Ansible plugin writing skills (advanced Ansible skill). To complete this task, candidate must know some programming language.
- 검증된 기술
- 기간
- 60 최대 분.
- 평가
- 자동
- 테스트 개요
-
DevOps task - Level: Hard
DevOps | CentOs | Ansible Dynamic Inventory plugin - The purpose of this task is to check Ansible plugin writing skills (advanced Ansible skill). To complete this task, candidate must know some programming language.
- 검증된 기술
- 기간
- 45 최대 분.
- 평가
- 자동
- 테스트 개요
-
Task - Level: Easy
SQL | Stamps catalogue | The three highest prices - Select three stamps (price and name) with the highest price.
프로그래밍 작업 - 레벨: 쉬움
Python | Pandas | HTML table parser - Implement a function to convert HTML table into a CSV-format file.
Recommended roles for Python online tests
- Junior Python developer
- Middle Python developer
- Senior Python developer
- Data analyst
- Software engineer
- Web developer
- Software developer
- Senior software engineer
How DevSkiller Python online tests work
DevSkiller Python online tests are powered by the RealLifeTesting™ methodology, a unique testing platform that assesses a developer applicant’s knowledge of Python, their coding skills, and ability to problem-solve, as well as their time-management skills.
Key features
- Accurately analyze a candidate’s coding ability
- Save time during recruitment with remote testing
- The RealLifeTesting™ methodology offers a greater user experience where candidates can use their own IDE, clone to Git, run unit tests, and access Stack Overflow/Github/Google for research.
- Stringent anti-plagiarism tools to ensure test accuracy
- Observe tests in real-time
- Automated results that non-technical recruiters can understand
- Tests available for junior, middle, and senior-level positions
Skills covered in DevSkiller Python online tests
- CRUD
- 장고
- Django 2.2.x
- Python
- Data Analysis with Python
- data science
- SQL
- SQLite
- Dimensional Modelling
- Pandas
- Python 3.x
- Data Structures
- CBV
- 모델 양식
- Python3.7
- Flask
- 머신 러닝
- CSS
- Html
- 자바스크립트
- Node.JS
- Promises
- NumPy
- MySQL
- PYTOOLS
- Regular Expressions
What to look for in a Python developer
Python is one of the most popular programming languages in the world. It was first released in 1991 and became popular for being simple to learn, yet powerful in solving problems.
Python’s main uses are for data analysis and web development, but it is also becoming popular with regard to machine learning. It is a programming language getting more and more attention and according to developer survey results provided by Stack overflow in 2018, Python already ranks as the world’s seventh most popular programming language among professional software developers. In short, Python is one of the world’s most sought after technologies.
A good Python developer, therefore, needs to have a certain skill set in order to thrive within your business. Python developers are usually responsible for writing server-side web application logic, including the development of back-end components. They will design and implement quality applications, connect those applications with other third-party web services, and support front-end developers by integrating their work with the Python application. A good Python developer will need to write reusable, quality code, and come up with efficient data storage solutions.
Python developers should also have knowledge of web frameworks, object-relational mappers, multi-process architecture, and RESTful APIs. In addition, if they have skills in system administration, scripting, and other programming languages like Java or C++, then this is a bonus.
Like what you see but want more from our Python online tests?
DevSkiller Python online tests are fully customizable, meaning you can set the difficulty level, time-scale, and programming language being tested. Our Python tests can be adapted very easily to suit your company’s needs or you can simply choose DevSkiller’s own default settings and get started. Either way, DevSkiller Python tests are a simple and efficient solution to finding your next Python developer.
PyCharm IDE built-in to the browser
To improve candidate experience during our Python online tests, Devskiller has implemented a built-in PyCharm IDE directly into the browser. Our already warmed up, ready to use PyCharm IDE will reduce time during testing and increase the user experience for your candidates.
Candidates no longer have to clone the code, wait for the dependencies to install or indexes to build. They can literally start coding as soon as they open the test invitation. This unique feature is just one of the innovations setting DevSkiller TalentScore apart from the competition when it comes to developer screening.
Want proof that our Python online tests work?
It is perfectly understandable to be a little hesitant when choosing how to invest your company’s money, so here is what our clients have to say:
Lingonberry is a Talent Acquisition company whose screening process for recruitment was inefficient and time-consuming, with 50% of candidates they assessed being invited to the technical interview. Furthermore, they found it difficult to recruit for any roles which they themselves weren’t already competent in, making an assessment of other roles problematic. As a result, 15 candidates had to be interviewed in order to make just two hires. The whole recruitment process was slow and arduous, so they turned to DevSkiller.
Now, thanks to DevSkiller, Lingonberry is able to eliminate 50% of recruitment candidates with a technical assessment before the interview stage and eliminate the weaker candidates much earlier in the recruitment process. Lingonberry is now also able to accurately assess candidates for positions in which they have limited in-house expertise, while still ensuring they select the right applicant for the job.
Jonatan Rugarn – CEO, Founder, Recruiter at Lingonberry Talent Acquisition
“The DevSkiller test is the first thing I do with each applicant, after sorting out the irrelevant CVs. We only interview them if they pass the test,”
Richard Williams – VP of engineering at Plutora
“Thanks to automating the screening stage, we were able to reduce the interview rate by 50%. At the same time, the quality of candidates who make it to the interview stage is now much greater. DevSkiller adds an extra layer of quality to our technical hiring process”
Frequently asked questions
What is RealLifeTestingTM?
The RealLifeTestingTM methodology is the basis for every DevSkiller Python Online test. Rather than presenting developer candidate’s with menial coding challenges or algorithmic puzzles, RealLifeTestingTM instead, simulates the real-world scenarios that your applicants would be likely to encounter on a daily basis. By implementing this throughout all of our tests, DevSkiller is able to offer your business a comprehensive understanding of your applicant’s skill level, from the first stage of the recruitment process. The successful candidates are those who are able to demonstrate a clear understanding of Python and who possess the right amount of critical thinking to determine the quickest and most efficient solution to problems presented to them.
How do candidates undertake a Python test?
The great advantage of a DevSkiller Python online test is that it can be taken from anywhere in the world at any time. This means that each developer candidate can take the test whenever is convenient for them and the results will be automatically compiled ready for assessment. Recruiters simply have to send the candidate a link to the test to get started.
Test candidates then have the option of using DevSkiller’s state of the art in-browser IDE, or completing the project on their favorite IDE and then cloning the project to GIT. They are also expected to run unit tests to make sure their solutions work.
One major advantage of DevSkiller testing is that the results are then automatically compiled and analyzed, with a final report being sent to the recruiter. The whole process is simple and efficient and the results are presented in a clear and precise way, meaning you don’t have to be technically minded to understand them.
What do you do about plagiarism?
The chance of an applicant being able to cheat is eliminated via the implementation of a number of strict anti-plagiarism tools, which automatically analyze each test. Some of the tools employed include screen recording, which ensures that the candidate is not looking at a different screen when undertaking a test, and the use of a range of social listening tools. Automatic plagiarism detectors can also assess the code each candidate has inputted and the length of time taken to complete each question. Answers are then automatically cross-checked in the system against previous answers provided, to see if there is a match.
How long does it take to complete a Python online test?
The duration of each test is customizable and can be set depending on your preferences. DevSkiller Python online tests come with default settings already programmed, or you can change these and set your own. The tests can even be made available for only a limited time if required.
How long does it take to set up DevSkiller?
Another great aspect of Python online testing with DevSkiller, is that the tests are quick and easy to set up. You will be able to send your first Python test within a few minutes. DevSkiller stores a huge range of predefined tests at every level, meaning all you have to do is select the test you want to send out and then invite your developer candidates to take the test.