Python Data Engineering Interview Questions Be prepared for a wide range ofdata engineer Python interview questions. Expect questions about 1) data structures and data manipulation (e.g., Python lists, data types, data munging with pandas), 2) explanations (e.g., tell us about search/merge),...
Data engineering is highly technical, so it’s no surprise that most of your interview process will involve technical questions and exercises. In this section, we will cover different types of technical questions and answers, focusing on beginner, Python, SQL, project-based, and management question...
Python >>>foriincustomers.find({"$or":[{'firstname':'Bob'},{'firstname':'Amy'}]},...{'firstname':1,'boughtitems':1,'_id':0}):...print(i)...{'firstname': 'Bob', 'boughtitems': [{'title': 'USB', 'price': 10.2, 'currency': 'EUR', 'notes': 'Customer wants it ...
Master the Meta Data Engineer interview in 2025 with this comprehensive guide. Learn the full process, real SQL and Python questions, system design scenarios, and how to prepare for phone screens, onsites, and team match rounds.
Feature Engineering:Create new features or transform existing features to improve model performance. Hyperparameter Tuning:Optimize model hyperparameters using techniques like grid search or random search. Cross-Validation:Use cross-validation to ensure that the model performs well on different subsets of ...
Python Coding Interview Question #2: Graph Theory in Python Image by Author This is one of the very interesting Python coding interview questions from StrataScratch. It puts you in a very common yet complex situation of a real-life data scientist. ...
Feature Engineering: Selecting or creating new features from the data to improve the model performance. Machine Learning and Statistics: Building various machine learning models to find out valuable information and make predictions. 16. How is Python Useful? Python offers various features which make it...
Data Analyst Interview Questions On Python 77. You have a dataframe (df) with columns 'Age' and 'Salary', How would you calculate the average salary for each age group? average_salary_by_age = df.groupby('Age')['Salary'].mean() print(average_salary_by_age) Here we are grouping...
This API is available in Java, Scala, and Python. It may perform various transformations on datasets such as filtering, mapping, aggregating, joining, and grouping. DataSet<Tuple2<String, Integer>> wordCounts = text .flatMap(new LineSplitter()) .groupBy(0) .sum(1);...
General Data Engineer Interview Questions Usually, interviewers start the conversation with a few more general questions. Their aim is to take the edge off and prepare you for the more complex data engineering questions ahead. Here are a few that will help you get off to a flying start. 1....