Explorez les principales questions et réponses d'entretien Python pandas pour les rôles de science des données. Actualisé 4 oct. 2024 · 15 min de lecture Contenu Questions d'entretien de base sur pandas Questions d'entretien intermédiaires sur pandas Questions d'entretien sur pandas pour...
Python Pandas Interview Questions 1. Can you get items of series A that are not available in another series B? This can be achieved by using the ~ (not/negation symbol) and isin() method as shown below. import pandas as pd df1 = pd.Series([2, 4, 8, 10, 12]) df2 = pd.Series...
Answer: Pandas is an open-source python library that has a very rich set of data structures for data-based operations. Pandas with their cool features fit in every role of data operation, whether it be academics or solving complex business problems. Pandas can deal with a large variety of f...
This depends on the role. For general software engineering roles, focus on core Python features and the standard library. For specialized roles, expect questions about libraries such as Pandas and NumPy (data analysis), TensorFlow or PyTorch (machine learning), or Flask and Django (web development...
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 ...
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. ...
A list of Python packages is referred to as a Python library. Numpy, Pandas, Matplotlib, Scikit-learn, and many other Python libraries are widely used. Q. What is split used for? In Python, thesplit()method is used to split a string. ...
com/blog/python-pandas-interview-questions-for-data-science/），它将给你一个关于用Pandas进行数据...
原文链接:https://towardsdatascience.com/53-python-interview-questions-and-answers-91fa311eec3f本文...
问题: 编写一个 Python 函数来计算数据集的平均值、中位数、模式和标准差。答案: import pandas as pd def calculate_descriptive_stats(data): stats_dict = {} # Calculate mean stats_dict['mean'] = data.mean() # Calculate median stats_dict['median'] = data.median() # Calculate mode if data...