15. What is PEP 8 and why is it important? 16. What is an Interpreted language? 17. What is a dynamically typed language? 18. What is Python? Python Interview Questions for Experienced Python OOPS Interview Qu
Python has a large and active community of developers who have created a wide range of modules and packages that extend the capabilities of Python. Some popular examples include NumPy for numerical computing, Pandas for data analysis, and Flask for web development. 12. What are global, protected...
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49. Top 100 Python Interview Questions & Answers For 2019 | Edurekahttps://www.edureka.co/blog/...
import pandas as pd import numpy as np # 读取数据 data = pd.read_csv('your_data.csv') # 处理缺失值 data.fillna(data.mean(), inplace=True) # 用平均值填充缺失值 # 处理异常值 # 假设某列数据不能超过 100 data = data[data['column_name'] <= 100] # 数据分析 print(data.describe()...
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Now that you have some experience with pandas .groupby() in Python, you can use the questions and answers below to check your understanding and recap what you’ve learned. These FAQs are related to the most important concepts you’ve covered in this tutorial. Click the Show/Hide toggle besi...
2. How do you handle missing data in a dataset using Pandas? Answer: Handling missing data is crucial for accurate data analysis. In Pandas, you can handle missing data using several methods: Drop Missing Values:Use thedropna()method to remove rows or columns with missing values.pythonCopy ...
Questions and Answers Effective Resume Writing AI Based Resume Builder Personal AI Study Assistant Generate Coding Logic HR Interview Questions Computer Glossary Who is WhoPython - Quick GuidePrevious Next Python - OverviewPython is a high-level, multi-paradigm programming language. As Python is an in...
We also give some sample questions that you might be asked during the interview. Python Data Science Interview Questions and Answers As you prepare for the Python data science interview questions, keep the following in mind and prepare accordingly. According to our observations, these questions have...