Post by Sonal Holankar
Big Data Engineer | ETL Pipelines | SQL | Python | Apache Spark | Data Modeling | Data Pipelines | Cloud (AWS/Azure/GCP) | Big Data Enthusiast | Azure Databricks
π Data Engineering Interview Series β Python Edition π Cracking Data Engineering interviews? Start with the Python fundamentals that interviewers ask again and again. Hereβs a power-packed roadmap of the Most Asked Python Interview Questions π πΉ Core Data Structures β List β features & examples β Tuple β features & examples β Set β features & examples β Dictionary β features & examples πΉ Popular Comparisons β‘ List vs Tuple β‘ List vs Set β‘ List vs Tuple vs Set β‘ List vs NumPy Array πΉ Important Python Concepts π₯ Lambda Functions π₯ Shallow Copy vs Deep Copy π₯ Python Functions π₯ Python Decorators π₯ Nested Dictionaries πΉ Coding Questions Frequently Asked π‘ Find duplicates in a list π‘ Remove duplicates from a list π‘ If-Else based coding problems π‘ Scenario-based Python coding questions πΉ Must-Know Methods π List methods π Dictionary methods (addition, deletion, update) π Pandas methods π Working with CSV & JSON using Pandas π NumPy basics for Data Engineering π Follow for more Data Engineering interview content. #Python #DataEngineering #DataEngineer #PythonInterview #CodingInterview #Pandas #NumPy #ETL #BigData #DataAnalytics #InterviewPreparation #LearnPython #TechCareers #SoftwareEngineering #AnalyticsEngineering